{"id":"claude-fable-5","label":"Claude Fable 5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-06-07","pricing":{"inputPer1M":10,"outputPer1M":50,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":59.9,"scores":{"coding":{"value":76.5}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":64.08,"latencyTtftSec":99.98,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-fable-5","title":"Claude Fable 5","abstract":"Claude Fable 5 (claude-fable-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Fable 5 (claude-fable-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10 in / $50 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 59.9 · coding 76.5 (cited from Artificial Analysis — verify at the source). Cited speed: 64.08 tokens/s · 99.98s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-06-07. Sources: anthropic-api, artificial-analysis, committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-fable-5.html"}
{"id":"claude-fable-5-1","label":"Claude Fable 5.1","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-06","releaseDate":"2026-08-28","pricing":{"inputPer1M":10,"outputPer1M":50,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":49.2,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":66.59,"latencyTtftSec":270.26,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-fable-5-1","title":"Claude Fable 5.1","abstract":"Claude Fable 5.1 (claude-fable-5-1) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Fable 5.1 (claude-fable-5-1) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10 in / $50 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 49.2 (cited from Artificial Analysis — verify at the source). Cited speed: 66.59 tokens/s · 270.26s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-06. Release date: 2026-08-28. Sources: anthropic-api, artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-fable-5-1.html"}
{"id":"claude-haiku-4-5-20251001","label":"Claude Haiku 4.5","kind":"CHAT","contextWindow":200000,"maxOutputTokens":64000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-02-28","releaseDate":"2025-10-15","pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":23.7,"scores":{"math":{"value":39}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":82.98,"latencyTtftSec":0.55,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-haiku-4-5-20251001","title":"Claude Haiku 4.5","abstract":"Claude Haiku 4.5 (claude-haiku-4-5-20251001) is a chat model from anthropic with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Haiku 4.5 (claude-haiku-4-5-20251001) is a chat model from anthropic with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 23.7 · math 39 (cited from Artificial Analysis — verify at the source). Cited speed: 82.98 tokens/s · 0.55s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-02-28. Release date: 2025-10-15. Sources: anthropic-api, artificial-analysis, committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-haiku-4-5-20251001.html"}
{"id":"claude-haiku-5-5","label":"Claude Haiku 5.5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-06","releaseDate":"2026-10-07","pricing":{"inputPer1M":0.1,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":36.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":232.05,"latencyTtftSec":277.62,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-haiku-5-5","title":"Claude Haiku 5.5","abstract":"Claude Haiku 5.5 (claude-haiku-5-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Haiku 5.5 (claude-haiku-5-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 36.5 (cited from Artificial Analysis — verify at the source). Cited speed: 232.05 tokens/s · 277.62s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-06. Release date: 2026-10-07. Sources: anthropic-api, artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-haiku-5-5.html"}
{"id":"claude-opus-4-20250514","label":"Claude Opus 4","kind":"CHAT","contextWindow":200000,"maxOutputTokens":32000,"capabilities":["vision","tools","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":15,"outputPer1M":75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":16.6,"scores":{"math":{"value":36.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-opus-4-20250514","title":"Claude Opus 4","abstract":"Claude Opus 4 (claude-opus-4-20250514) is a chat model from anthropic with a 200K-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input image, pdf, text.","text":"Claude Opus 4 (claude-opus-4-20250514) is a chat model from anthropic with a 200K-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input image, pdf, text. Vendor: anthropic. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $15 in / $75 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 16.6 · math 36.3 (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Capabilities: vision, tools, reasoning. Weights: Proprietary (API-only). Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-opus-4-20250514.html"}
{"id":"claude-opus-4-5-20251101","label":"Claude Opus 4.5","kind":"CHAT","contextWindow":200000,"maxOutputTokens":64000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2025-11-24","pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":34.7,"scores":{"math":{"value":62.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":67.692,"latencyTtftSec":1.324,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-22"},"sources":["anthropic-api","committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-opus-4-5-20251101","title":"Claude Opus 4.5","abstract":"Claude Opus 4.5 (claude-opus-4-5-20251101) is a chat model from anthropic with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Opus 4.5 (claude-opus-4-5-20251101) is a chat model from anthropic with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 34.7 · math 62.7 (cited from Artificial Analysis — verify at the source). Cited speed: 67.692 tokens/s · 1.324s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-05. Release date: 2025-11-24. Sources: anthropic-api, committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-opus-4-5-20251101.html"}
{"id":"claude-opus-4-6","label":"Claude Opus 4.6","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-05-31","releaseDate":"2026-02-04","pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":37.8,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":37.04,"latencyTtftSec":1.72,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-opus-4-6","title":"Claude Opus 4.6","abstract":"Claude Opus 4.6 (claude-opus-4-6) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Opus 4.6 (claude-opus-4-6) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 37.8 (cited from Artificial Analysis — verify at the source). Cited speed: 37.04 tokens/s · 1.72s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-05-31. Release date: 2026-02-04. Sources: anthropic-api, artificial-analysis, committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-opus-4-6.html"}
{"id":"claude-opus-4-7","label":"Claude Opus 4.7","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-01-31","releaseDate":"2026-04-14","pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":53.5,"scores":{"coding":{"value":73.6}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":46.66,"latencyTtftSec":27.73,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-opus-4-7","title":"Claude Opus 4.7","abstract":"Claude Opus 4.7 (claude-opus-4-7) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Opus 4.7 (claude-opus-4-7) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 53.5 · coding 73.6 (cited from Artificial Analysis — verify at the source). Cited speed: 46.66 tokens/s · 27.73s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-01-31. Release date: 2026-04-14. Sources: anthropic-api, artificial-analysis, committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-opus-4-7.html"}
{"id":"claude-opus-4-8","label":"Claude Opus 4.8","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-01","releaseDate":"2026-05-28","pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":55.7,"scores":{"coding":{"value":74.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":58.82,"latencyTtftSec":46.65,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-opus-4-8","title":"Claude Opus 4.8","abstract":"Claude Opus 4.8 (claude-opus-4-8) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Opus 4.8 (claude-opus-4-8) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 55.7 · coding 74.3 (cited from Artificial Analysis — verify at the source). Cited speed: 58.82 tokens/s · 46.65s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-01. Release date: 2026-05-28. Sources: anthropic-api, artificial-analysis, committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-opus-4-8.html"}
{"id":"claude-opus-5","label":"Claude Opus 5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-05","releaseDate":"2026-07-24","pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":44.2,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":49.98,"latencyTtftSec":83.13,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-opus-5","title":"Claude Opus 5","abstract":"Claude Opus 5 (claude-opus-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Opus 5 (claude-opus-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 44.2 (cited from Artificial Analysis — verify at the source). Cited speed: 49.98 tokens/s · 83.13s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-05. Release date: 2026-07-24. Sources: anthropic-api, artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-opus-5.html"}
{"id":"claude-opus-5-5","label":"Claude Opus 5.5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-06","releaseDate":"2026-09-21","pricing":{"inputPer1M":4,"outputPer1M":20,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":59.1,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":94.62,"latencyTtftSec":646.35,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-opus-5-5","title":"Claude Opus 5.5","abstract":"Claude Opus 5.5 (claude-opus-5-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Opus 5.5 (claude-opus-5-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $4 in / $20 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 59.1 (cited from Artificial Analysis — verify at the source). Cited speed: 94.62 tokens/s · 646.35s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-06. Release date: 2026-09-21. Sources: anthropic-api, artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-opus-5-5.html"}
{"id":"claude-sonnet-4-20250514","label":"Claude Sonnet 4","kind":"CHAT","contextWindow":200000,"maxOutputTokens":64000,"capabilities":["vision","tools","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":16.6,"scores":{"math":{"value":38}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-sonnet-4-20250514","title":"Claude Sonnet 4","abstract":"Claude Sonnet 4 (claude-sonnet-4-20250514) is a chat model from anthropic with a 200K-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input image, pdf, text.","text":"Claude Sonnet 4 (claude-sonnet-4-20250514) is a chat model from anthropic with a 200K-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input image, pdf, text. Vendor: anthropic. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 16.6 · math 38 (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Capabilities: vision, tools, reasoning. Weights: Proprietary (API-only). Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-sonnet-4-20250514.html"}
{"id":"claude-sonnet-4-5-20250929","label":"Claude Sonnet 4.5","kind":"CHAT","contextWindow":200000,"maxOutputTokens":64000,"capabilities":["vision","tools","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-07-31","releaseDate":"2025-09-29","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":19.3,"scores":{"math":{"value":37}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":39.62,"latencyTtftSec":1.04,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-sonnet-4-5-20250929","title":"Claude Sonnet 4.5","abstract":"Claude Sonnet 4.5 (claude-sonnet-4-5-20250929) is a chat model from anthropic with a 200K-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input image, pdf, text; output text.","text":"Claude Sonnet 4.5 (claude-sonnet-4-5-20250929) is a chat model from anthropic with a 200K-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 19.3 · math 37 (cited from Artificial Analysis — verify at the source). Cited speed: 39.62 tokens/s · 1.04s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: vision, tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-07-31. Release date: 2025-09-29. Sources: anthropic-api, artificial-analysis, committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-sonnet-4-5-20250929.html"}
{"id":"claude-sonnet-4-6","label":"Claude Sonnet 4.6","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":64000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-02-17","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":35.9,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":43.07,"latencyTtftSec":0.95,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-sonnet-4-6","title":"Claude Sonnet 4.6","abstract":"Claude Sonnet 4.6 (claude-sonnet-4-6) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Sonnet 4.6 (claude-sonnet-4-6) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 35.9 (cited from Artificial Analysis — verify at the source). Cited speed: 43.07 tokens/s · 0.95s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-02-17. Sources: anthropic-api, artificial-analysis, committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-sonnet-4-6.html"}
{"id":"claude-sonnet-5","label":"Claude Sonnet 5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-01-31","releaseDate":"2026-06-29","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":53.4,"scores":{"coding":{"value":71.5}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":71.13,"latencyTtftSec":237.8,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-sonnet-5","title":"Claude Sonnet 5","abstract":"Claude Sonnet 5 (claude-sonnet-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Sonnet 5 (claude-sonnet-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 53.4 · coding 71.5 (cited from Artificial Analysis — verify at the source). Cited speed: 71.13 tokens/s · 237.8s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-01-31. Release date: 2026-06-29. Sources: anthropic-api, artificial-analysis, committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-sonnet-5.html"}
{"id":"claude-sonnet-5-5","label":"Claude Sonnet 5.5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-06","releaseDate":"2026-09-28","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":54.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":139.27,"latencyTtftSec":389.26,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["anthropic-api","artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"anthropic","ref":"anthropic/claude-sonnet-5-5","title":"Claude Sonnet 5.5","abstract":"Claude Sonnet 5.5 (claude-sonnet-5-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Sonnet 5.5 (claude-sonnet-5-5) is a chat model from anthropic with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: anthropic. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 54.5 (cited from Artificial Analysis — verify at the source). Cited speed: 139.27 tokens/s · 389.26s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-06. Release date: 2026-09-28. Sources: anthropic-api, artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/anthropic/claude-sonnet-5-5.html"}
{"id":"gpt-4.1","label":"GPT-4.1 (Azure)","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-04-14","pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"azure","ref":"azure/gpt-4.1","title":"GPT-4.1 (Azure)","abstract":"GPT-4.1 (Azure) (gpt-4.1) is a chat model from azure with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"GPT-4.1 (Azure) (gpt-4.1) is a chat model from azure with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: azure. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-04-14. Sources: litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/azure/gpt-4.1.html"}
{"id":"gpt-4o","label":"GPT-4o (Azure)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-09","releaseDate":"2024-05-13","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"azure","ref":"azure/gpt-4o","title":"GPT-4o (Azure)","abstract":"GPT-4o (Azure) (gpt-4o) is a chat model from azure with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"GPT-4o (Azure) (gpt-4o) is a chat model from azure with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: azure. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2023-09. Release date: 2024-05-13. Sources: litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/azure/gpt-4o.html"}
{"id":"gpt-4o-mini","label":"GPT-4o mini (Azure)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-09","releaseDate":"2024-07-18","pricing":{"inputPer1M":0.165,"outputPer1M":0.66,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"azure","ref":"azure/gpt-4o-mini","title":"GPT-4o mini (Azure)","abstract":"GPT-4o mini (Azure) (gpt-4o-mini) is a chat model from azure with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"GPT-4o mini (Azure) (gpt-4o-mini) is a chat model from azure with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: azure. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.165 in / $0.66 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2023-09. Release date: 2024-07-18. Sources: committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/azure/gpt-4o-mini.html"}
{"id":"gpt-5","label":"GPT-5 (Azure)","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-08-07","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"azure","ref":"azure/gpt-5","title":"GPT-5 (Azure)","abstract":"GPT-5 (Azure) (gpt-5) is a chat model from azure with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"GPT-5 (Azure) (gpt-5) is a chat model from azure with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: azure. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-08-07. Sources: litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/azure/gpt-5.html"}
{"id":"o3","label":"o3 (Azure)","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-05","releaseDate":"2025-04-16","pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"azure","ref":"azure/o3","title":"o3 (Azure)","abstract":"o3 (Azure) (o3) is a chat model from azure with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"o3 (Azure) (o3) is a chat model from azure with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: azure. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-05. Release date: 2025-04-16. Sources: litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/azure/o3.html"}
{"id":"o4-mini","label":"o4-mini (Azure)","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-05","releaseDate":"2025-04-16","pricing":{"inputPer1M":1.1,"outputPer1M":4.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"azure","ref":"azure/o4-mini","title":"o4-mini (Azure)","abstract":"o4-mini (Azure) (o4-mini) is a chat model from azure with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"o4-mini (Azure) (o4-mini) is a chat model from azure with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: azure. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $1.1 in / $4.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-05. Release date: 2025-04-16. Sources: litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/azure/o4-mini.html"}
{"id":"anthropic.claude-3-5-haiku-20241022-v1:0","label":"Claude 3.5 Haiku","kind":"CHAT","contextWindow":200000,"maxOutputTokens":8192,"capabilities":["tools"],"modalities":{"input":["pdf","text"]},"pricing":{"inputPer1M":0.8,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bedrock","ref":"bedrock/anthropic.claude-3-5-haiku-20241022-v1:0","title":"Claude 3.5 Haiku","abstract":"Claude 3.5 Haiku (anthropic.claude-3-5-haiku-20241022-v1:0) is a chat model from bedrock with a 200K-token context window; capabilities tools; input pdf, text.","text":"Claude 3.5 Haiku (anthropic.claude-3-5-haiku-20241022-v1:0) is a chat model from bedrock with a 200K-token context window; capabilities tools; input pdf, text. Vendor: bedrock. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.8 in / $4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: pdf, text. Capabilities: tools. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bedrock/anthropic.claude-3-5-haiku-20241022-v1-0.html"}
{"id":"anthropic.claude-3-5-sonnet-20241022-v2:0","label":"Claude 3.5 Sonnet v2","kind":"CHAT","contextWindow":200000,"maxOutputTokens":8192,"capabilities":["vision","tools"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bedrock","ref":"bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0","title":"Claude 3.5 Sonnet v2","abstract":"Claude 3.5 Sonnet v2 (anthropic.claude-3-5-sonnet-20241022-v2:0) is a chat model from bedrock with a 200K-token context window; capabilities vision, tools; input image, pdf, text.","text":"Claude 3.5 Sonnet v2 (anthropic.claude-3-5-sonnet-20241022-v2:0) is a chat model from bedrock with a 200K-token context window; capabilities vision, tools; input image, pdf, text. Vendor: bedrock. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: vision, tools. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bedrock/anthropic.claude-3-5-sonnet-20241022-v2-0.html"}
{"id":"meta.llama3-1-70b-instruct-v1:0","label":"Llama 3.1 70B Instruct","kind":"CHAT","contextWindow":128000,"maxOutputTokens":2048,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12","releaseDate":"2024-07-23","pricing":{"inputPer1M":0.99,"outputPer1M":0.99,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"bedrock","ref":"bedrock/meta.llama3-1-70b-instruct-v1:0","title":"Llama 3.1 70B Instruct","abstract":"Llama 3.1 70B Instruct (meta.llama3-1-70b-instruct-v1:0) is a chat model from bedrock with a 128K-token context window; open-weight; capabilities tools; input text; output text.","text":"Llama 3.1 70B Instruct (meta.llama3-1-70b-instruct-v1:0) is a chat model from bedrock with a 128K-token context window; open-weight; capabilities tools; input text; output text. Vendor: bedrock. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 2,048 tokens. Indicative price (US list): $0.99 in / $0.99 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2023-12. Release date: 2024-07-23. Sources: committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bedrock/meta.llama3-1-70b-instruct-v1-0.html"}
{"id":"mistral.mistral-large-2407-v1:0","label":"Mistral Large","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8191,"capabilities":["tools"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":3,"outputPer1M":9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bedrock","ref":"bedrock/mistral.mistral-large-2407-v1:0","title":"Mistral Large","abstract":"Mistral Large (mistral.mistral-large-2407-v1:0) is a chat model from bedrock with a 128K-token context window; capabilities tools; input text.","text":"Mistral Large (mistral.mistral-large-2407-v1:0) is a chat model from bedrock with a 128K-token context window; capabilities tools; input text. Vendor: bedrock. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,191 tokens. Indicative price (US list): $3 in / $9 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bedrock/mistral.mistral-large-2407-v1-0.html"}
{"id":"amazon.titan-embed-text-v2:0","label":"Titan Text Embeddings v2","kind":"EMBEDDING","contextWindow":8192,"embeddingDimensions":1024,"modalities":{"input":["text"],"output":["embedding"]},"pricing":{"inputPer1M":0.02,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bedrock","ref":"bedrock/amazon.titan-embed-text-v2:0","title":"Titan Text Embeddings v2","abstract":"Titan Text Embeddings v2 (amazon.titan-embed-text-v2:0) is a embedding model from bedrock with a 8.2K-token context window; 1,024-dimensional embeddings; input text; output embedding.","text":"Titan Text Embeddings v2 (amazon.titan-embed-text-v2:0) is a embedding model from bedrock with a 8.2K-token context window; 1,024-dimensional embeddings; input text; output embedding. Vendor: bedrock. Kind: EMBEDDING. Context window: 8,192 tokens. Embedding dimensions: 1,024. Indicative price (US list): $0.02 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bedrock/amazon.titan-embed-text-v2-0.html"}
{"id":"flux-dev","label":"flux-dev","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bfl","ref":"bfl/flux-dev","title":"flux-dev","abstract":"flux-dev (flux-dev) is a image model from bfl; input text.","text":"flux-dev (flux-dev) is a image model from bfl; input text. Vendor: bfl. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bfl/flux-dev.html"}
{"id":"flux-kontext-max","label":"flux-kontext-max","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bfl","ref":"bfl/flux-kontext-max","title":"flux-kontext-max","abstract":"flux-kontext-max (flux-kontext-max) is a image model from bfl; input text.","text":"flux-kontext-max (flux-kontext-max) is a image model from bfl; input text. Vendor: bfl. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bfl/flux-kontext-max.html"}
{"id":"flux-kontext-pro","label":"flux-kontext-pro","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bfl","ref":"bfl/flux-kontext-pro","title":"flux-kontext-pro","abstract":"flux-kontext-pro (flux-kontext-pro) is a image model from bfl; input text.","text":"flux-kontext-pro (flux-kontext-pro) is a image model from bfl; input text. Vendor: bfl. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bfl/flux-kontext-pro.html"}
{"id":"flux-pro","label":"flux-pro","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bfl","ref":"bfl/flux-pro","title":"flux-pro","abstract":"flux-pro (flux-pro) is a image model from bfl; input text.","text":"flux-pro (flux-pro) is a image model from bfl; input text. Vendor: bfl. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bfl/flux-pro.html"}
{"id":"flux-pro-1.0-expand","label":"flux-pro-1.0-expand","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bfl","ref":"bfl/flux-pro-1.0-expand","title":"flux-pro-1.0-expand","abstract":"flux-pro-1.0-expand (flux-pro-1.0-expand) is a image model from bfl; input text.","text":"flux-pro-1.0-expand (flux-pro-1.0-expand) is a image model from bfl; input text. Vendor: bfl. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bfl/flux-pro-1.0-expand.html"}
{"id":"flux-pro-1.0-fill","label":"flux-pro-1.0-fill","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bfl","ref":"bfl/flux-pro-1.0-fill","title":"flux-pro-1.0-fill","abstract":"flux-pro-1.0-fill (flux-pro-1.0-fill) is a image model from bfl; input text.","text":"flux-pro-1.0-fill (flux-pro-1.0-fill) is a image model from bfl; input text. Vendor: bfl. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bfl/flux-pro-1.0-fill.html"}
{"id":"flux-pro-1.1","label":"flux-pro-1.1","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bfl","ref":"bfl/flux-pro-1.1","title":"flux-pro-1.1","abstract":"flux-pro-1.1 (flux-pro-1.1) is a image model from bfl; input text.","text":"flux-pro-1.1 (flux-pro-1.1) is a image model from bfl; input text. Vendor: bfl. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bfl/flux-pro-1.1.html"}
{"id":"flux-pro-1.1-ultra","label":"flux-pro-1.1-ultra","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"bfl","ref":"bfl/flux-pro-1.1-ultra","title":"flux-pro-1.1-ultra","abstract":"flux-pro-1.1-ultra (flux-pro-1.1-ultra) is a image model from bfl; input text.","text":"flux-pro-1.1-ultra (flux-pro-1.1-ultra) is a image model from bfl; input text. Vendor: bfl. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/bfl/flux-pro-1.1-ultra.html"}
{"id":"gpt-oss-120b","label":"GPT-OSS 120B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06","releaseDate":"2025-08-05","pricing":{"inputPer1M":0.35,"outputPer1M":0.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":11.6,"scores":{"coding":{"value":30.4},"math":{"value":93.4}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":207.43,"latencyTtftSec":0.79,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"cerebras","ref":"cerebras/gpt-oss-120b","title":"GPT-OSS 120B","abstract":"GPT-OSS 120B (gpt-oss-120b) is a chat model from cerebras with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GPT-OSS 120B (gpt-oss-120b) is a chat model from cerebras with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: cerebras. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.35 in / $0.75 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 11.6 · coding 30.4 · math 93.4 (cited from Artificial Analysis — verify at the source). Cited speed: 207.43 tokens/s · 0.79s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-06. Release date: 2025-08-05. Sources: artificial-analysis, committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cerebras/gpt-oss-120b.html"}
{"id":"llama-3.3-70b","label":"Llama 3.3 70B","kind":"CHAT","contextWindow":128000,"maxOutputTokens":128000,"capabilities":["tools"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.85,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","overrides"],"lastVerified":"2026-11-05","vendor":"cerebras","ref":"cerebras/llama-3.3-70b","title":"Llama 3.3 70B","abstract":"Llama 3.3 70B (llama-3.3-70b) is a chat model from cerebras with a 128K-token context window; capabilities tools; input text.","text":"Llama 3.3 70B (llama-3.3-70b) is a chat model from cerebras with a 128K-token context window; capabilities tools; input text. Vendor: cerebras. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.85 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools. Sources: litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cerebras/llama-3.3-70b.html"}
{"id":"llama3.1-8b","label":"Llama 3.1 8B","kind":"CHAT","contextWindow":128000,"maxOutputTokens":128000,"capabilities":["tools"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.1,"outputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","overrides"],"lastVerified":"2026-11-05","vendor":"cerebras","ref":"cerebras/llama3.1-8b","title":"Llama 3.1 8B","abstract":"Llama 3.1 8B (llama3.1-8b) is a chat model from cerebras with a 128K-token context window; capabilities tools; input text.","text":"Llama 3.1 8B (llama3.1-8b) is a chat model from cerebras with a 128K-token context window; capabilities tools; input text. Vendor: cerebras. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools. Sources: litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cerebras/llama3.1-8b.html"}
{"id":"qwen-3-32b","label":"Qwen3 32B","kind":"CHAT","contextWindow":128000,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.4,"outputPer1M":0.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","overrides"],"lastVerified":"2026-11-05","vendor":"cerebras","ref":"cerebras/qwen-3-32b","title":"Qwen3 32B","abstract":"Qwen3 32B (qwen-3-32b) is a chat model from cerebras with a 128K-token context window; capabilities tools, reasoning; input text.","text":"Qwen3 32B (qwen-3-32b) is a chat model from cerebras with a 128K-token context window; capabilities tools, reasoning; input text. Vendor: cerebras. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.4 in / $0.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools, reasoning. Sources: litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cerebras/qwen-3-32b.html"}
{"id":"zai-glm-4.6","label":"GLM-4.6","kind":"CHAT","contextWindow":128000,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":2.25,"outputPer1M":2.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"cerebras","ref":"cerebras/zai-glm-4.6","title":"GLM-4.6","abstract":"GLM-4.6 (zai-glm-4.6) is a chat model from cerebras with a 128K-token context window; capabilities tools, reasoning; input text.","text":"GLM-4.6 (zai-glm-4.6) is a chat model from cerebras with a 128K-token context window; capabilities tools, reasoning; input text. Vendor: cerebras. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.25 in / $2.75 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools, reasoning. Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cerebras/zai-glm-4.6.html"}
{"id":"c4ai-aya-expanse-32b","label":"Aya Expanse 32B","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4000,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2024-10-24","pricing":{"inputPer1M":0.5,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/c4ai-aya-expanse-32b","title":"Aya Expanse 32B","abstract":"Aya Expanse 32B (c4ai-aya-expanse-32b) is a chat model from cohere with a 128K-token context window; open-weight; input text; output text.","text":"Aya Expanse 32B (c4ai-aya-expanse-32b) is a chat model from cohere with a 128K-token context window; open-weight; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,000 tokens. Indicative price (US list): $0.5 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Release date: 2024-10-24. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/c4ai-aya-expanse-32b.html"}
{"id":"c4ai-aya-vision-32b","label":"Aya Vision 32B","kind":"CHAT","contextWindow":16000,"maxOutputTokens":4000,"capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2025-03-04","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/c4ai-aya-vision-32b","title":"Aya Vision 32B","abstract":"Aya Vision 32B (c4ai-aya-vision-32b) is a chat model from cohere with a 16K-token context window; open-weight; capabilities vision; input image, text; output text.","text":"Aya Vision 32B (c4ai-aya-vision-32b) is a chat model from cohere with a 16K-token context window; open-weight; capabilities vision; input image, text; output text. Vendor: cohere. Kind: CHAT. Context window: 16,000 tokens. Max output tokens: 4,000 tokens. Input modalities: image, text. Output modalities: text. Capabilities: vision. Weights: Open-weight. Release date: 2025-03-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/c4ai-aya-vision-32b.html"}
{"id":"command-a-03-2025","label":"Command A","kind":"CHAT","contextWindow":256000,"maxOutputTokens":8000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-01","releaseDate":"2025-03-13","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-a-03-2025","title":"Command A","abstract":"Command A (command-a-03-2025) is a chat model from cohere with a 256K-token context window; open-weight; capabilities tools; input text; output text.","text":"Command A (command-a-03-2025) is a chat model from cohere with a 256K-token context window; open-weight; capabilities tools; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 8,000 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-06-01. Release date: 2025-03-13. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-a-03-2025.html"}
{"id":"command-a-plus-05-2026","label":"Command A Plus","kind":"CHAT","contextWindow":128000,"maxOutputTokens":64000,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-04-01","releaseDate":"2026-05-20","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-a-plus-05-2026","title":"Command A Plus","abstract":"Command A Plus (command-a-plus-05-2026) is a chat model from cohere with a 128K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Command A Plus (command-a-plus-05-2026) is a chat model from cohere with a 128K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: cohere. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04-01. Release date: 2026-05-20. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-a-plus-05-2026.html"}
{"id":"command-a-reasoning-08-2025","label":"Command A Reasoning","kind":"CHAT","contextWindow":256000,"maxOutputTokens":32000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-01","releaseDate":"2025-08-21","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-a-reasoning-08-2025","title":"Command A Reasoning","abstract":"Command A Reasoning (command-a-reasoning-08-2025) is a chat model from cohere with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Command A Reasoning (command-a-reasoning-08-2025) is a chat model from cohere with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-06-01. Release date: 2025-08-21. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-a-reasoning-08-2025.html"}
{"id":"command-a-translate-08-2025","label":"Command A Translate","kind":"CHAT","contextWindow":8000,"maxOutputTokens":8000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-01","releaseDate":"2025-08-28","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-a-translate-08-2025","title":"Command A Translate","abstract":"Command A Translate (command-a-translate-08-2025) is a chat model from cohere with a 8K-token context window; open-weight; capabilities tools; input text; output text.","text":"Command A Translate (command-a-translate-08-2025) is a chat model from cohere with a 8K-token context window; open-weight; capabilities tools; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 8,000 tokens. Max output tokens: 8,000 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-06-01. Release date: 2025-08-28. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-a-translate-08-2025.html"}
{"id":"command-a-vision-07-2025","label":"Command A Vision","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8000,"capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-06-01","releaseDate":"2025-07-31","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-a-vision-07-2025","title":"Command A Vision","abstract":"Command A Vision (command-a-vision-07-2025) is a chat model from cohere with a 128K-token context window; open-weight; capabilities vision; input image, text; output text.","text":"Command A Vision (command-a-vision-07-2025) is a chat model from cohere with a 128K-token context window; open-weight; capabilities vision; input image, text; output text. Vendor: cohere. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,000 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: vision. Weights: Open-weight. Knowledge cutoff: 2024-06-01. Release date: 2025-07-31. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-a-vision-07-2025.html"}
{"id":"command-r","label":"Command R","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-r","title":"Command R","abstract":"Command R (command-r) is a chat model from cohere with a 128K-token context window; capabilities tools; input text.","text":"Command R (command-r) is a chat model from cohere with a 128K-token context window; capabilities tools; input text. Vendor: cohere. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-r.html"}
{"id":"command-r-08-2024","label":"Command R","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-01","releaseDate":"2024-08-30","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-r-08-2024","title":"Command R","abstract":"Command R (command-r-08-2024) is a chat model from cohere with a 128K-token context window; open-weight; capabilities tools; input text; output text.","text":"Command R (command-r-08-2024) is a chat model from cohere with a 128K-token context window; open-weight; capabilities tools; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-06-01. Release date: 2024-08-30. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-r-08-2024.html"}
{"id":"command-r-plus","label":"Command R+","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-r-plus","title":"Command R+","abstract":"Command R+ (command-r-plus) is a chat model from cohere with a 128K-token context window; capabilities tools; input text.","text":"Command R+ (command-r-plus) is a chat model from cohere with a 128K-token context window; capabilities tools; input text. Vendor: cohere. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-r-plus.html"}
{"id":"command-r-plus-08-2024","label":"Command R+","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-01","releaseDate":"2024-08-30","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-r-plus-08-2024","title":"Command R+","abstract":"Command R+ (command-r-plus-08-2024) is a chat model from cohere with a 128K-token context window; open-weight; capabilities tools; input text; output text.","text":"Command R+ (command-r-plus-08-2024) is a chat model from cohere with a 128K-token context window; open-weight; capabilities tools; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-06-01. Release date: 2024-08-30. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-r-plus-08-2024.html"}
{"id":"command-r7b-12-2024","label":"Command R7B","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-01","releaseDate":"2024-12-13","pricing":{"inputPer1M":0.0375,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-r7b-12-2024","title":"Command R7B","abstract":"Command R7B (command-r7b-12-2024) is a chat model from cohere with a 128K-token context window; open-weight; capabilities tools; input text; output text.","text":"Command R7B (command-r7b-12-2024) is a chat model from cohere with a 128K-token context window; open-weight; capabilities tools; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.0375 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-06-01. Release date: 2024-12-13. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-r7b-12-2024.html"}
{"id":"command-r7b-arabic-02-2025","label":"Command R7B Arabic","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-01","releaseDate":"2025-02-27","pricing":{"inputPer1M":0.0375,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/command-r7b-arabic-02-2025","title":"Command R7B Arabic","abstract":"Command R7B Arabic (command-r7b-arabic-02-2025) is a chat model from cohere with a 128K-token context window; open-weight; capabilities tools; input text; output text.","text":"Command R7B Arabic (command-r7b-arabic-02-2025) is a chat model from cohere with a 128K-token context window; open-weight; capabilities tools; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,000 tokens. Indicative price (US list): $0.0375 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-06-01. Release date: 2025-02-27. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/command-r7b-arabic-02-2025.html"}
{"id":"north-mini-code-1-0","label":"North Mini Code","kind":"CHAT","contextWindow":256000,"maxOutputTokens":64000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-09-23","releaseDate":"2026-06-09","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/north-mini-code-1-0","title":"North Mini Code","abstract":"North Mini Code (north-mini-code-1-0) is a chat model from cohere with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"North Mini Code (north-mini-code-1-0) is a chat model from cohere with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 64,000 tokens. Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-09-23. Release date: 2026-06-09. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/north-mini-code-1-0.html"}
{"id":"north-small-translate-09-2026","label":"North Small Translate","kind":"CHAT","contextWindow":32768,"maxOutputTokens":16000,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-09-09","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/north-small-translate-09-2026","title":"North Small Translate","abstract":"North Small Translate (north-small-translate-09-2026) is a chat model from cohere with a 32.8K-token context window; open-weight; input text; output text.","text":"North Small Translate (north-small-translate-09-2026) is a chat model from cohere with a 32.8K-token context window; open-weight; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 16,000 tokens. Input modalities: text. Output modalities: text. Weights: Open-weight. Release date: 2026-09-09. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/north-small-translate-09-2026.html"}
{"id":"tiny-aya-earth","label":"Tiny Aya Earth","kind":"CHAT","contextWindow":8000,"maxOutputTokens":8000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-02-17","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/tiny-aya-earth","title":"Tiny Aya Earth","abstract":"Tiny Aya Earth (tiny-aya-earth) is a chat model from cohere with a 8K-token context window; open-weight; capabilities tools; input text; output text.","text":"Tiny Aya Earth (tiny-aya-earth) is a chat model from cohere with a 8K-token context window; open-weight; capabilities tools; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 8,000 tokens. Max output tokens: 8,000 tokens. Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Release date: 2026-02-17. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/tiny-aya-earth.html"}
{"id":"tiny-aya-fire","label":"Tiny Aya Fire","kind":"CHAT","contextWindow":8000,"maxOutputTokens":8000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-02-17","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/tiny-aya-fire","title":"Tiny Aya Fire","abstract":"Tiny Aya Fire (tiny-aya-fire) is a chat model from cohere with a 8K-token context window; open-weight; capabilities tools; input text; output text.","text":"Tiny Aya Fire (tiny-aya-fire) is a chat model from cohere with a 8K-token context window; open-weight; capabilities tools; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 8,000 tokens. Max output tokens: 8,000 tokens. Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Release date: 2026-02-17. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/tiny-aya-fire.html"}
{"id":"tiny-aya-global","label":"Tiny Aya Global","kind":"CHAT","contextWindow":8000,"maxOutputTokens":8000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-02-17","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/tiny-aya-global","title":"Tiny Aya Global","abstract":"Tiny Aya Global (tiny-aya-global) is a chat model from cohere with a 8K-token context window; open-weight; capabilities tools; input text; output text.","text":"Tiny Aya Global (tiny-aya-global) is a chat model from cohere with a 8K-token context window; open-weight; capabilities tools; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 8,000 tokens. Max output tokens: 8,000 tokens. Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Release date: 2026-02-17. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/tiny-aya-global.html"}
{"id":"tiny-aya-water","label":"Tiny Aya Water","kind":"CHAT","contextWindow":8000,"maxOutputTokens":8000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-02-17","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/tiny-aya-water","title":"Tiny Aya Water","abstract":"Tiny Aya Water (tiny-aya-water) is a chat model from cohere with a 8K-token context window; open-weight; capabilities tools; input text; output text.","text":"Tiny Aya Water (tiny-aya-water) is a chat model from cohere with a 8K-token context window; open-weight; capabilities tools; input text; output text. Vendor: cohere. Kind: CHAT. Context window: 8,000 tokens. Max output tokens: 8,000 tokens. Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Release date: 2026-02-17. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/tiny-aya-water.html"}
{"id":"embed-multilingual-v3.0","label":"Embed Multilingual v3","kind":"EMBEDDING","contextWindow":1024,"embeddingDimensions":1024,"modalities":{"input":["text"],"output":["embedding"]},"pricing":{"inputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/embed-multilingual-v3.0","title":"Embed Multilingual v3","abstract":"Embed Multilingual v3 (embed-multilingual-v3.0) is a embedding model from cohere with a 1.0K-token context window; 1,024-dimensional embeddings; input text; output embedding.","text":"Embed Multilingual v3 (embed-multilingual-v3.0) is a embedding model from cohere with a 1.0K-token context window; 1,024-dimensional embeddings; input text; output embedding. Vendor: cohere. Kind: EMBEDDING. Context window: 1,024 tokens. Embedding dimensions: 1,024. Indicative price (US list): $0.1 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/embed-multilingual-v3.0.html"}
{"id":"embed-v4.0","label":"Embed v4","kind":"EMBEDDING","contextWindow":128000,"embeddingDimensions":1536,"modalities":{"input":["text"],"output":["embedding"]},"pricing":{"inputPer1M":0.12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/embed-v4.0","title":"Embed v4","abstract":"Embed v4 (embed-v4.0) is a embedding model from cohere with a 128K-token context window; 1,536-dimensional embeddings; input text; output embedding.","text":"Embed v4 (embed-v4.0) is a embedding model from cohere with a 128K-token context window; 1,536-dimensional embeddings; input text; output embedding. Vendor: cohere. Kind: EMBEDDING. Context window: 128,000 tokens. Embedding dimensions: 1,536. Indicative price (US list): $0.12 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/embed-v4.0.html"}
{"id":"rerank-v3.5","label":"Rerank v3.5","kind":"RERANK","contextWindow":4096,"maxOutputTokens":4096,"modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"cohere","ref":"cohere/rerank-v3.5","title":"Rerank v3.5","abstract":"Rerank v3.5 (rerank-v3.5) is a rerank model from cohere with a 4.1K-token context window; input text.","text":"Rerank v3.5 (rerank-v3.5) is a rerank model from cohere with a 4.1K-token context window; input text. Vendor: cohere. Kind: RERANK. Context window: 4,096 tokens. Max output tokens: 4,096 tokens. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/cohere/rerank-v3.5.html"}
{"id":"deepseek-chat","label":"DeepSeek-V3","kind":"CHAT","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools"],"openWeights":true,"parameters":671000000000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.28,"outputPer1M":0.42,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","overrides"],"lastVerified":"2026-11-05","vendor":"deepseek","ref":"deepseek/deepseek-chat","title":"DeepSeek-V3","abstract":"DeepSeek-V3 (deepseek-chat) is a chat model from deepseek with a 131.1K-token context window; open-weight (671B parameters); capabilities tools; input text.","text":"DeepSeek-V3 (deepseek-chat) is a chat model from deepseek with a 131.1K-token context window; open-weight (671B parameters); capabilities tools; input text. Vendor: deepseek. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.28 in / $0.42 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools. Weights: Open-weight. Parameters: 671B. Sources: litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/deepseek/deepseek-chat.html"}
{"id":"deepseek-flash","label":"DeepSeek V4.1 Flash 1017","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":393216,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2026-10-17","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"deepseek","ref":"deepseek/deepseek-flash","title":"DeepSeek V4.1 Flash 1017","abstract":"DeepSeek V4.1 Flash 1017 (deepseek-flash) is a chat model from deepseek with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"DeepSeek V4.1 Flash 1017 (deepseek-flash) is a chat model from deepseek with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: deepseek. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 393,216 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-05. Release date: 2026-10-17. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/deepseek/deepseek-flash.html"}
{"id":"deepseek-reasoner","label":"DeepSeek-R1","kind":"CHAT","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["reasoning"],"openWeights":true,"parameters":671000000000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.28,"outputPer1M":0.42,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","overrides"],"lastVerified":"2026-11-05","vendor":"deepseek","ref":"deepseek/deepseek-reasoner","title":"DeepSeek-R1","abstract":"DeepSeek-R1 (deepseek-reasoner) is a chat model from deepseek with a 131.1K-token context window; open-weight (671B parameters); capabilities reasoning; input text.","text":"DeepSeek-R1 (deepseek-reasoner) is a chat model from deepseek with a 131.1K-token context window; open-weight (671B parameters); capabilities reasoning; input text. Vendor: deepseek. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.28 in / $0.42 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: reasoning. Weights: Open-weight. Parameters: 671B. Sources: litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/deepseek/deepseek-reasoner.html"}
{"id":"deepseek-v4-flash","label":"DeepSeek V4 Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":393216,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2026-10-17","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":128.05,"latencyTtftSec":1.55,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"deepseek","ref":"deepseek/deepseek-v4-flash","title":"DeepSeek V4 Flash","abstract":"DeepSeek V4 Flash (deepseek-v4-flash) is a chat model from deepseek with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"DeepSeek V4 Flash (deepseek-v4-flash) is a chat model from deepseek with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: deepseek. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 393,216 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 128.05 tokens/s · 1.55s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-05. Release date: 2026-10-17. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/deepseek/deepseek-v4-flash.html"}
{"id":"deepseek-v4-flash-vision-exp","label":"DeepSeek V4 Flash Vision Exp","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":393216,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2026-10-17","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"deepseek","ref":"deepseek/deepseek-v4-flash-vision-exp","title":"DeepSeek V4 Flash Vision Exp","abstract":"DeepSeek V4 Flash Vision Exp (deepseek-v4-flash-vision-exp) is a chat model from deepseek with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"DeepSeek V4 Flash Vision Exp (deepseek-v4-flash-vision-exp) is a chat model from deepseek with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: deepseek. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 393,216 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-05. Release date: 2026-10-17. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/deepseek/deepseek-v4-flash-vision-exp.html"}
{"id":"deepseek-v4-pro","label":"DeepSeek V4 Pro","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":393216,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-13","pricing":{"inputPer1M":1.32,"outputPer1M":3.96,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":23.1,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":72.02,"latencyTtftSec":1.59,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"deepseek","ref":"deepseek/deepseek-v4-pro","title":"DeepSeek V4 Pro","abstract":"DeepSeek V4 Pro (deepseek-v4-pro) is a chat model from deepseek with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek V4 Pro (deepseek-v4-pro) is a chat model from deepseek with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: deepseek. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 393,216 tokens. Indicative price (US list): $1.32 in / $3.96 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 23.1 (cited from Artificial Analysis — verify at the source). Cited speed: 72.02 tokens/s · 1.59s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-13. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/deepseek/deepseek-v4-pro.html"}
{"id":"eleven_english_sts_v2","label":"Eleven English v2 (speech-to-speech)","kind":"SPEECH","modalities":{"input":["audio"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_english_sts_v2","title":"Eleven English v2 (speech-to-speech)","abstract":"Eleven English v2 (speech-to-speech) (eleven_english_sts_v2) is a speech model from elevenlabs; input audio; output audio.","text":"Eleven English v2 (speech-to-speech) (eleven_english_sts_v2) is a speech model from elevenlabs; input audio; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: audio. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_english_sts_v2.html"}
{"id":"eleven_flash_v2","label":"Eleven Flash v2","kind":"SPEECH","modalities":{"input":["text"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_flash_v2","title":"Eleven Flash v2","abstract":"Eleven Flash v2 (eleven_flash_v2) is a speech model from elevenlabs; input text; output audio.","text":"Eleven Flash v2 (eleven_flash_v2) is a speech model from elevenlabs; input text; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: text. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_flash_v2.html"}
{"id":"eleven_flash_v2_5","label":"Eleven Flash v2.5","kind":"SPEECH","modalities":{"input":["text"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_flash_v2_5","title":"Eleven Flash v2.5","abstract":"Eleven Flash v2.5 (eleven_flash_v2_5) is a speech model from elevenlabs; input text; output audio.","text":"Eleven Flash v2.5 (eleven_flash_v2_5) is a speech model from elevenlabs; input text; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: text. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_flash_v2_5.html"}
{"id":"eleven_multilingual_sts_v2","label":"Eleven Multilingual v2 (speech-to-speech)","kind":"SPEECH","modalities":{"input":["audio"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_multilingual_sts_v2","title":"Eleven Multilingual v2 (speech-to-speech)","abstract":"Eleven Multilingual v2 (speech-to-speech) (eleven_multilingual_sts_v2) is a speech model from elevenlabs; input audio; output audio.","text":"Eleven Multilingual v2 (speech-to-speech) (eleven_multilingual_sts_v2) is a speech model from elevenlabs; input audio; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: audio. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_multilingual_sts_v2.html"}
{"id":"eleven_multilingual_v2","label":"Eleven Multilingual v2","kind":"SPEECH","modalities":{"input":["text"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_multilingual_v2","title":"Eleven Multilingual v2","abstract":"Eleven Multilingual v2 (eleven_multilingual_v2) is a speech model from elevenlabs; input text; output audio.","text":"Eleven Multilingual v2 (eleven_multilingual_v2) is a speech model from elevenlabs; input text; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: text. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_multilingual_v2.html"}
{"id":"eleven_turbo_v2","label":"Eleven Turbo v2","kind":"SPEECH","modalities":{"input":["text"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_turbo_v2","title":"Eleven Turbo v2","abstract":"Eleven Turbo v2 (eleven_turbo_v2) is a speech model from elevenlabs; input text; output audio.","text":"Eleven Turbo v2 (eleven_turbo_v2) is a speech model from elevenlabs; input text; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: text. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_turbo_v2.html"}
{"id":"eleven_turbo_v2_5","label":"Eleven Turbo v2.5","kind":"SPEECH","modalities":{"input":["text"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_turbo_v2_5","title":"Eleven Turbo v2.5","abstract":"Eleven Turbo v2.5 (eleven_turbo_v2_5) is a speech model from elevenlabs; input text; output audio.","text":"Eleven Turbo v2.5 (eleven_turbo_v2_5) is a speech model from elevenlabs; input text; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: text. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_turbo_v2_5.html"}
{"id":"eleven_v3","label":"Eleven v3","kind":"SPEECH","modalities":{"input":["text"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_v3","title":"Eleven v3","abstract":"Eleven v3 (eleven_v3) is a speech model from elevenlabs; input text; output audio.","text":"Eleven v3 (eleven_v3) is a speech model from elevenlabs; input text; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: text. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_v3.html"}
{"id":"eleven_v3_conversational","label":"Eleven v3 Conversational","kind":"SPEECH","modalities":{"input":["text"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_v3_conversational","title":"Eleven v3 Conversational","abstract":"Eleven v3 Conversational (eleven_v3_conversational) is a speech model from elevenlabs; input text; output audio.","text":"Eleven v3 Conversational (eleven_v3_conversational) is a speech model from elevenlabs; input text; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: text. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_v3_conversational.html"}
{"id":"eleven_v4","label":"Eleven v4","kind":"SPEECH","modalities":{"input":["text"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_v4","title":"Eleven v4","abstract":"Eleven v4 (eleven_v4) is a speech model from elevenlabs; input text; output audio.","text":"Eleven v4 (eleven_v4) is a speech model from elevenlabs; input text; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: text. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_v4.html"}
{"id":"eleven_v4_turbo","label":"Eleven v4 Turbo","kind":"SPEECH","modalities":{"input":["text"],"output":["audio"]},"sources":["elevenlabs-api"],"lastVerified":"2026-11-05","vendor":"elevenlabs","ref":"elevenlabs/eleven_v4_turbo","title":"Eleven v4 Turbo","abstract":"Eleven v4 Turbo (eleven_v4_turbo) is a speech model from elevenlabs; input text; output audio.","text":"Eleven v4 Turbo (eleven_v4_turbo) is a speech model from elevenlabs; input text; output audio. Vendor: elevenlabs. Kind: SPEECH. Input modalities: text. Output modalities: audio. Sources: elevenlabs-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/elevenlabs/eleven_v4_turbo.html"}
{"id":"accounts/fireworks/models/deepseek-r1","label":"DeepSeek-R1","kind":"CHAT","contextWindow":128000,"maxOutputTokens":20480,"modalities":{"input":["text"]},"pricing":{"inputPer1M":3,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","overrides"],"lastVerified":"2026-11-05","vendor":"fireworks","ref":"fireworks/accounts/fireworks/models/deepseek-r1","title":"DeepSeek-R1","abstract":"DeepSeek-R1 (accounts/fireworks/models/deepseek-r1) is a chat model from fireworks with a 128K-token context window; input text.","text":"DeepSeek-R1 (accounts/fireworks/models/deepseek-r1) is a chat model from fireworks with a 128K-token context window; input text. Vendor: fireworks. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 20,480 tokens. Indicative price (US list): $3 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Sources: committed, litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/fireworks/accounts-fireworks-models-deepseek-r1.html"}
{"id":"accounts/fireworks/models/deepseek-v3","label":"DeepSeek-V3","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8192,"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.9,"outputPer1M":0.9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","overrides"],"lastVerified":"2026-11-05","vendor":"fireworks","ref":"fireworks/accounts/fireworks/models/deepseek-v3","title":"DeepSeek-V3","abstract":"DeepSeek-V3 (accounts/fireworks/models/deepseek-v3) is a chat model from fireworks with a 128K-token context window; input text.","text":"DeepSeek-V3 (accounts/fireworks/models/deepseek-v3) is a chat model from fireworks with a 128K-token context window; input text. Vendor: fireworks. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.9 in / $0.9 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Sources: committed, litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/fireworks/accounts-fireworks-models-deepseek-v3.html"}
{"id":"accounts/fireworks/models/glm-4p5-air","label":"GLM-4.5 Air","kind":"CHAT","contextWindow":128000,"maxOutputTokens":96000,"capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.22,"outputPer1M":0.88,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","overrides"],"lastVerified":"2026-11-05","vendor":"fireworks","ref":"fireworks/accounts/fireworks/models/glm-4p5-air","title":"GLM-4.5 Air","abstract":"GLM-4.5 Air (accounts/fireworks/models/glm-4p5-air) is a chat model from fireworks with a 128K-token context window; capabilities tools, reasoning; input text.","text":"GLM-4.5 Air (accounts/fireworks/models/glm-4p5-air) is a chat model from fireworks with a 128K-token context window; capabilities tools, reasoning; input text. Vendor: fireworks. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 96,000 tokens. Indicative price (US list): $0.22 in / $0.88 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools, reasoning. Sources: committed, litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/fireworks/accounts-fireworks-models-glm-4p5-air.html"}
{"id":"accounts/fireworks/models/glm-4p6","label":"GLM-4.6","kind":"CHAT","contextWindow":202800,"maxOutputTokens":202800,"capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.55,"outputPer1M":2.19,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","overrides"],"lastVerified":"2026-11-05","vendor":"fireworks","ref":"fireworks/accounts/fireworks/models/glm-4p6","title":"GLM-4.6","abstract":"GLM-4.6 (accounts/fireworks/models/glm-4p6) is a chat model from fireworks with a 202.8K-token context window; capabilities tools, reasoning; input text.","text":"GLM-4.6 (accounts/fireworks/models/glm-4p6) is a chat model from fireworks with a 202.8K-token context window; capabilities tools, reasoning; input text. Vendor: fireworks. Kind: CHAT. Context window: 202,800 tokens. Max output tokens: 202,800 tokens. Indicative price (US list): $0.55 in / $2.19 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools, reasoning. Sources: committed, litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/fireworks/accounts-fireworks-models-glm-4p6.html"}
{"id":"antigravity-preview-05-2026","label":"Antigravity Agent Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"sources":["gemini-api"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/antigravity-preview-05-2026","title":"Antigravity Agent Preview","abstract":"Antigravity Agent Preview (antigravity-preview-05-2026) is a chat model from gemini with a 1.0M-token context window.","text":"Antigravity Agent Preview (antigravity-preview-05-2026) is a chat model from gemini with a 1.0M-token context window. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Sources: gemini-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/antigravity-preview-05-2026.html"}
{"id":"antigravity-preview-09-2026","label":"Antigravity Agent Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"sources":["gemini-api"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/antigravity-preview-09-2026","title":"Antigravity Agent Preview","abstract":"Antigravity Agent Preview (antigravity-preview-09-2026) is a chat model from gemini with a 1.0M-token context window.","text":"Antigravity Agent Preview (antigravity-preview-09-2026) is a chat model from gemini with a 1.0M-token context window. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Sources: gemini-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/antigravity-preview-09-2026.html"}
{"id":"antigravity-preview-latest","label":"Antigravity Agent Preview Latest","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"sources":["gemini-api"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/antigravity-preview-latest","title":"Antigravity Agent Preview Latest","abstract":"Antigravity Agent Preview Latest (antigravity-preview-latest) is a chat model from gemini with a 1.0M-token context window.","text":"Antigravity Agent Preview Latest (antigravity-preview-latest) is a chat model from gemini with a 1.0M-token context window. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Sources: gemini-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/antigravity-preview-latest.html"}
{"id":"deep-research-max-preview-04-2026","label":"Deep Research Max Preview (Apr-21-2026)","kind":"CHAT","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["vision","tools","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["image","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-04-21","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/deep-research-max-preview-04-2026","title":"Deep Research Max Preview (Apr-21-2026)","abstract":"Deep Research Max Preview (Apr-21-2026) (deep-research-max-preview-04-2026) is a chat model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output image, text.","text":"Deep Research Max Preview (Apr-21-2026) (deep-research-max-preview-04-2026) is a chat model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output image, text. Vendor: gemini. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-04-21. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/deep-research-max-preview-04-2026.html"}
{"id":"deep-research-preview-04-2026","label":"Deep Research Preview (Apr-21-2026)","kind":"CHAT","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["vision","tools","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["image","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-04-21","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/deep-research-preview-04-2026","title":"Deep Research Preview (Apr-21-2026)","abstract":"Deep Research Preview (Apr-21-2026) (deep-research-preview-04-2026) is a chat model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output image, text.","text":"Deep Research Preview (Apr-21-2026) (deep-research-preview-04-2026) is a chat model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output image, text. Vendor: gemini. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-04-21. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/deep-research-preview-04-2026.html"}
{"id":"deep-research-pro-preview-12-2025","label":"Deep Research Pro Preview (Dec-12-2025) [Rerouted]","kind":"CHAT","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["vision"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["image","text"]},"pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/deep-research-pro-preview-12-2025","title":"Deep Research Pro Preview (Dec-12-2025) [Rerouted]","abstract":"Deep Research Pro Preview (Dec-12-2025) [Rerouted] (deep-research-pro-preview-12-2025) is a chat model from gemini with a 131.1K-token context window; capabilities vision; input audio, image, pdf, text, video; output image, text.","text":"Deep Research Pro Preview (Dec-12-2025) [Rerouted] (deep-research-pro-preview-12-2025) is a chat model from gemini with a 131.1K-token context window; capabilities vision; input audio, image, pdf, text, video; output image, text. Vendor: gemini. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: image, text. Capabilities: vision. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/deep-research-pro-preview-12-2025.html"}
{"id":"gemini-2.5-computer-use-preview-10-2025","label":"Gemini 2.5 Computer Use Preview 10-2025","kind":"CHAT","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-10-07","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-2.5-computer-use-preview-10-2025","title":"Gemini 2.5 Computer Use Preview 10-2025","abstract":"Gemini 2.5 Computer Use Preview 10-2025 (gemini-2.5-computer-use-preview-10-2025) is a chat model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text.","text":"Gemini 2.5 Computer Use Preview 10-2025 (gemini-2.5-computer-use-preview-10-2025) is a chat model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text. Vendor: gemini. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-10-07. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-2.5-computer-use-preview-10-2025.html"}
{"id":"gemini-2.5-flash","label":"Gemini 2.5 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["vision","tools","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-06-17","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":9.9,"scores":{"math":{"value":60.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":191.51,"latencyTtftSec":0.37,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-2.5-flash","title":"Gemini 2.5 Flash","abstract":"Gemini 2.5 Flash (gemini-2.5-flash) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 2.5 Flash (gemini-2.5-flash) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 9.9 · math 60.3 (cited from Artificial Analysis — verify at the source). Cited speed: 191.51 tokens/s · 0.37s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: vision, tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-06-17. Sources: artificial-analysis, committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-2.5-flash.html"}
{"id":"gemini-2.5-flash-image","label":"Nano Banana","kind":"CHAT","contextWindow":32768,"maxOutputTokens":32768,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["image","text"]},"knowledgeCutoff":"2024-06","releaseDate":"2025-08-26","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-2.5-flash-image","title":"Nano Banana","abstract":"Nano Banana (gemini-2.5-flash-image) is a chat model from gemini with a 32.8K-token context window; proprietary (API-only); capabilities tools, vision; input audio, image, pdf, text, video; output image, text.","text":"Nano Banana (gemini-2.5-flash-image) is a chat model from gemini with a 32.8K-token context window; proprietary (API-only); capabilities tools, vision; input audio, image, pdf, text, video; output image, text. Vendor: gemini. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: image, text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-06. Release date: 2025-08-26. Sources: committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-2.5-flash-image.html"}
{"id":"gemini-2.5-flash-lite","label":"Gemini 2.5 Flash-Lite","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-06-17","pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":6.9,"scores":{"math":{"value":35.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":299.13,"latencyTtftSec":0.29,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-2.5-flash-lite","title":"Gemini 2.5 Flash-Lite","abstract":"Gemini 2.5 Flash-Lite (gemini-2.5-flash-lite) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 2.5 Flash-Lite (gemini-2.5-flash-lite) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.9 · math 35.3 (cited from Artificial Analysis — verify at the source). Cited speed: 299.13 tokens/s · 0.29s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-06-17. Sources: artificial-analysis, committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-2.5-flash-lite.html"}
{"id":"gemini-2.5-flash-preview-tts","label":"Gemini 2.5 Flash Preview TTS","kind":"CHAT","contextWindow":8192,"maxOutputTokens":16384,"openWeights":false,"modalities":{"input":["text"],"output":["audio"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-05-01","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-2.5-flash-preview-tts","title":"Gemini 2.5 Flash Preview TTS","abstract":"Gemini 2.5 Flash Preview TTS (gemini-2.5-flash-preview-tts) is a chat model from gemini with a 8.2K-token context window; proprietary (API-only); input text; output audio.","text":"Gemini 2.5 Flash Preview TTS (gemini-2.5-flash-preview-tts) is a chat model from gemini with a 8.2K-token context window; proprietary (API-only); input text; output audio. Vendor: gemini. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: audio. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-05-01. Sources: committed, gemini-api, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-2.5-flash-preview-tts.html"}
{"id":"gemini-2.5-pro","label":"Gemini 2.5 Pro","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["vision","tools","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-06-17","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":16.1,"scores":{"coding":{"value":33.3},"math":{"value":87.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":108,"latencyTtftSec":25.24,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-2.5-pro","title":"Gemini 2.5 Pro","abstract":"Gemini 2.5 Pro (gemini-2.5-pro) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 2.5 Pro (gemini-2.5-pro) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 16.1 · coding 33.3 · math 87.7 (cited from Artificial Analysis — verify at the source). Cited speed: 108 tokens/s · 25.24s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: vision, tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-06-17. Sources: artificial-analysis, committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-2.5-pro.html"}
{"id":"gemini-2.5-pro-preview-tts","label":"Gemini 2.5 Pro Preview TTS","kind":"CHAT","contextWindow":8192,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["audio"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-05-01","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-2.5-pro-preview-tts","title":"Gemini 2.5 Pro Preview TTS","abstract":"Gemini 2.5 Pro Preview TTS (gemini-2.5-pro-preview-tts) is a chat model from gemini with a 8.2K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output audio.","text":"Gemini 2.5 Pro Preview TTS (gemini-2.5-pro-preview-tts) is a chat model from gemini with a 8.2K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output audio. Vendor: gemini. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: audio. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-05-01. Sources: committed, gemini-api, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-2.5-pro-preview-tts.html"}
{"id":"gemini-3-flash-preview","label":"Gemini 3 Flash Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-12-17","pricing":{"inputPer1M":0.5,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3-flash-preview","title":"Gemini 3 Flash Preview","abstract":"Gemini 3 Flash Preview (gemini-3-flash-preview) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 3 Flash Preview (gemini-3-flash-preview) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.5 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-12-17. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3-flash-preview.html"}
{"id":"gemini-3-pro-image","label":"Nano Banana Pro","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-05-28","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3-pro-image","title":"Nano Banana Pro","abstract":"Nano Banana Pro (gemini-3-pro-image) is a chat model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities vision, reasoning; input image, text; output image, text.","text":"Nano Banana Pro (gemini-3-pro-image) is a chat model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities vision, reasoning; input image, text; output image, text. Vendor: gemini. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-05-28. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3-pro-image.html"}
{"id":"gemini-3-pro-image-preview","label":"Nano Banana Pro","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["vision"],"modalities":{"input":["image","text"],"output":["image","text"]},"pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3-pro-image-preview","title":"Nano Banana Pro","abstract":"Nano Banana Pro (gemini-3-pro-image-preview) is a chat model from gemini with a 131.1K-token context window; capabilities vision; input image, text; output image, text.","text":"Nano Banana Pro (gemini-3-pro-image-preview) is a chat model from gemini with a 131.1K-token context window; capabilities vision; input image, text; output image, text. Vendor: gemini. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: vision. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3-pro-image-preview.html"}
{"id":"gemini-3.1-flash-image","label":"Nano Banana 2","kind":"CHAT","contextWindow":65536,"maxOutputTokens":65536,"capabilities":["vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text","video"],"output":["image","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-05-28","pricing":{"inputPer1M":0.25,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.1-flash-image","title":"Nano Banana 2","abstract":"Nano Banana 2 (gemini-3.1-flash-image) is a chat model from gemini with a 65.5K-token context window; proprietary (API-only); capabilities vision, reasoning; input image, pdf, text, video; output image, text.","text":"Nano Banana 2 (gemini-3.1-flash-image) is a chat model from gemini with a 65.5K-token context window; proprietary (API-only); capabilities vision, reasoning; input image, pdf, text, video; output image, text. Vendor: gemini. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text, video. Output modalities: image, text. Capabilities: vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-05-28. Sources: committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.1-flash-image.html"}
{"id":"gemini-3.1-flash-image-preview","label":"Nano Banana 2","kind":"CHAT","contextWindow":65536,"maxOutputTokens":65536,"capabilities":["vision"],"modalities":{"input":["image","text"],"output":["image","text"]},"pricing":{"inputPer1M":0.25,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.1-flash-image-preview","title":"Nano Banana 2","abstract":"Nano Banana 2 (gemini-3.1-flash-image-preview) is a chat model from gemini with a 65.5K-token context window; capabilities vision; input image, text; output image, text.","text":"Nano Banana 2 (gemini-3.1-flash-image-preview) is a chat model from gemini with a 65.5K-token context window; capabilities vision; input image, text; output image, text. Vendor: gemini. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: vision. Sources: committed, gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.1-flash-image-preview.html"}
{"id":"gemini-3.1-flash-lite","label":"Gemini 3.1 Flash Lite","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-05-07","pricing":{"inputPer1M":0.25,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.1-flash-lite","title":"Gemini 3.1 Flash Lite","abstract":"Gemini 3.1 Flash Lite (gemini-3.1-flash-lite) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 3.1 Flash Lite (gemini-3.1-flash-lite) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-05-07. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.1-flash-lite.html"}
{"id":"gemini-3.1-flash-lite-image","label":"Nano Banana 2 Lite","kind":"CHAT","contextWindow":65536,"maxOutputTokens":65536,"capabilities":["vision","reasoning","tools"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["image","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-06-30","pricing":{"inputPer1M":0.25,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.1-flash-lite-image","title":"Nano Banana 2 Lite","abstract":"Nano Banana 2 Lite (gemini-3.1-flash-lite-image) is a chat model from gemini with a 65.5K-token context window; proprietary (API-only); capabilities vision, reasoning, tools; input image, pdf, text; output image, text.","text":"Nano Banana 2 Lite (gemini-3.1-flash-lite-image) is a chat model from gemini with a 65.5K-token context window; proprietary (API-only); capabilities vision, reasoning, tools; input image, pdf, text; output image, text. Vendor: gemini. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: image, text. Capabilities: vision, reasoning, tools. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-06-30. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.1-flash-lite-image.html"}
{"id":"gemini-3.1-flash-lite-preview","label":"Gemini 3.1 Flash Lite Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-03-03","pricing":{"inputPer1M":0.25,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":6.2,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":325.24,"latencyTtftSec":4.64,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.1-flash-lite-preview","title":"Gemini 3.1 Flash Lite Preview","abstract":"Gemini 3.1 Flash Lite Preview (gemini-3.1-flash-lite-preview) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 3.1 Flash Lite Preview (gemini-3.1-flash-lite-preview) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.2 (cited from Artificial Analysis — verify at the source). Cited speed: 325.24 tokens/s · 4.64s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-03-03. Sources: artificial-analysis, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.1-flash-lite-preview.html"}
{"id":"gemini-3.1-flash-tts-preview","label":"Gemini 3.1 Flash TTS Preview","kind":"CHAT","contextWindow":8192,"maxOutputTokens":16384,"capabilities":["reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["audio"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-04-15","pricing":{"inputPer1M":1,"outputPer1M":20,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.1-flash-tts-preview","title":"Gemini 3.1 Flash TTS Preview","abstract":"Gemini 3.1 Flash TTS Preview (gemini-3.1-flash-tts-preview) is a chat model from gemini with a 8.2K-token context window; proprietary (API-only); capabilities reasoning; input text; output audio.","text":"Gemini 3.1 Flash TTS Preview (gemini-3.1-flash-tts-preview) is a chat model from gemini with a 8.2K-token context window; proprietary (API-only); capabilities reasoning; input text; output audio. Vendor: gemini. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $1 in / $20 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: audio. Capabilities: reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-04-15. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.1-flash-tts-preview.html"}
{"id":"gemini-3.1-pro-preview","label":"Gemini 3.1 Pro Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-02-19","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":46.5,"scores":{"coding":{"value":68.8}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":127.77,"latencyTtftSec":23.98,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.1-pro-preview","title":"Gemini 3.1 Pro Preview","abstract":"Gemini 3.1 Pro Preview (gemini-3.1-pro-preview) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 3.1 Pro Preview (gemini-3.1-pro-preview) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 46.5 · coding 68.8 (cited from Artificial Analysis — verify at the source). Cited speed: 127.77 tokens/s · 23.98s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-02-19. Sources: artificial-analysis, committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.1-pro-preview.html"}
{"id":"gemini-3.1-pro-preview-customtools","label":"Gemini 3.1 Pro Preview Custom Tools","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-02-19","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.1-pro-preview-customtools","title":"Gemini 3.1 Pro Preview Custom Tools","abstract":"Gemini 3.1 Pro Preview Custom Tools (gemini-3.1-pro-preview-customtools) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 3.1 Pro Preview Custom Tools (gemini-3.1-pro-preview-customtools) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-02-19. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.1-pro-preview-customtools.html"}
{"id":"gemini-3.5-flash","label":"Gemini 3.5 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-05-19","pricing":{"inputPer1M":1.5,"outputPer1M":9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":50.2,"scores":{"coding":{"value":70.1}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":172.01,"latencyTtftSec":14.91,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.5-flash","title":"Gemini 3.5 Flash","abstract":"Gemini 3.5 Flash (gemini-3.5-flash) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 3.5 Flash (gemini-3.5-flash) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.5 in / $9 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 50.2 · coding 70.1 (cited from Artificial Analysis — verify at the source). Cited speed: 172.01 tokens/s · 14.91s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-05-19. Sources: artificial-analysis, committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.5-flash.html"}
{"id":"gemini-3.5-flash-lite","label":"Gemini 3.5 Flash Lite","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03","releaseDate":"2026-07-21","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":11.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":379.05,"latencyTtftSec":6.97,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.5-flash-lite","title":"Gemini 3.5 Flash Lite","abstract":"Gemini 3.5 Flash Lite (gemini-3.5-flash-lite) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 3.5 Flash Lite (gemini-3.5-flash-lite) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 11.7 (cited from Artificial Analysis — verify at the source). Cited speed: 379.05 tokens/s · 6.97s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-03. Release date: 2026-07-21. Sources: artificial-analysis, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.5-flash-lite.html"}
{"id":"gemini-3.5-transcribe","label":"Gemini 3.5 Transcribe","kind":"CHAT","contextWindow":98304,"maxOutputTokens":32768,"modalities":{"input":["audio","text"],"output":["text"]},"pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.5-transcribe","title":"Gemini 3.5 Transcribe","abstract":"Gemini 3.5 Transcribe (gemini-3.5-transcribe) is a chat model from gemini with a 98.3K-token context window; input audio, text; output text.","text":"Gemini 3.5 Transcribe (gemini-3.5-transcribe) is a chat model from gemini with a 98.3K-token context window; input audio, text; output text. Vendor: gemini. Kind: CHAT. Context window: 98,304 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: text. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.5-transcribe.html"}
{"id":"gemini-3.6-flash","label":"Gemini 3.6 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03","releaseDate":"2026-07-21","pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":50.1,"scores":{"coding":{"value":69.2}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":176.54,"latencyTtftSec":16.3,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.6-flash","title":"Gemini 3.6 Flash","abstract":"Gemini 3.6 Flash (gemini-3.6-flash) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 3.6 Flash (gemini-3.6-flash) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 50.1 · coding 69.2 (cited from Artificial Analysis — verify at the source). Cited speed: 176.54 tokens/s · 16.3s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-03. Release date: 2026-07-21. Sources: artificial-analysis, committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.6-flash.html"}
{"id":"gemini-3.7-flash","label":"Gemini 3.7 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03","releaseDate":"2026-08-13","pricing":{"inputPer1M":0.75,"outputPer1M":3.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.7-flash","title":"Gemini 3.7 Flash","abstract":"Gemini 3.7 Flash (gemini-3.7-flash) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 3.7 Flash (gemini-3.7-flash) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.75 in / $3.75 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-03. Release date: 2026-08-13. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.7-flash.html"}
{"id":"gemini-3.8-flash","label":"Gemini 3.8 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-09-02","pricing":{"inputPer1M":0.75,"outputPer1M":3.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":30.8,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":121.59,"latencyTtftSec":27.2,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.8-flash","title":"Gemini 3.8 Flash","abstract":"Gemini 3.8 Flash (gemini-3.8-flash) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 3.8 Flash (gemini-3.8-flash) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.75 in / $3.75 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 30.8 (cited from Artificial Analysis — verify at the source). Cited speed: 121.59 tokens/s · 27.2s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-02. Sources: artificial-analysis, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.8-flash.html"}
{"id":"gemini-3.8-flash-lite-tts","label":"Gemini 3.8 Flash Lite TTS","kind":"CHAT","contextWindow":8192,"maxOutputTokens":16384,"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.5,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.8-flash-lite-tts","title":"Gemini 3.8 Flash Lite TTS","abstract":"Gemini 3.8 Flash Lite TTS (gemini-3.8-flash-lite-tts) is a chat model from gemini with a 8.2K-token context window; input text.","text":"Gemini 3.8 Flash Lite TTS (gemini-3.8-flash-lite-tts) is a chat model from gemini with a 8.2K-token context window; input text. Vendor: gemini. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.5 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.8-flash-lite-tts.html"}
{"id":"gemini-3.8-flash-tts","label":"Gemini 3.8 Flash TTS","kind":"CHAT","contextWindow":8192,"maxOutputTokens":16384,"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.5,"outputPer1M":9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.8-flash-tts","title":"Gemini 3.8 Flash TTS","abstract":"Gemini 3.8 Flash TTS (gemini-3.8-flash-tts) is a chat model from gemini with a 8.2K-token context window; input text.","text":"Gemini 3.8 Flash TTS (gemini-3.8-flash-tts) is a chat model from gemini with a 8.2K-token context window; input text. Vendor: gemini. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.5 in / $9 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.8-flash-tts.html"}
{"id":"gemini-4-argon","label":"Gemini 4 Argon","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":32768,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03","releaseDate":"2026-10-13","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":50.4,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":86.66,"latencyTtftSec":58.6,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-4-argon","title":"Gemini 4 Argon","abstract":"Gemini 4 Argon (gemini-4-argon) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 4 Argon (gemini-4-argon) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 50.4 (cited from Artificial Analysis — verify at the source). Cited speed: 86.66 tokens/s · 58.6s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-03. Release date: 2026-10-13. Sources: artificial-analysis, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-4-argon.html"}
{"id":"gemini-flash-latest","label":"Gemini Flash Latest","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-flash-latest","title":"Gemini Flash Latest","abstract":"Gemini Flash Latest (gemini-flash-latest) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini Flash Latest (gemini-flash-latest) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-03. Sources: committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-flash-latest.html"}
{"id":"gemini-flash-lite-latest","label":"Gemini Flash-Lite Latest","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03","pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-flash-lite-latest","title":"Gemini Flash-Lite Latest","abstract":"Gemini Flash-Lite Latest (gemini-flash-lite-latest) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini Flash-Lite Latest (gemini-flash-lite-latest) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-03. Sources: committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-flash-lite-latest.html"}
{"id":"gemini-nano-banana-2.1","label":"Nano Banana 2.1","kind":"CHAT","contextWindow":65536,"maxOutputTokens":65536,"capabilities":["vision","reasoning"],"modalities":{"input":["image","pdf","text","video"],"output":["image","text"]},"pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-nano-banana-2.1","title":"Nano Banana 2.1","abstract":"Nano Banana 2.1 (gemini-nano-banana-2.1) is a chat model from gemini with a 65.5K-token context window; capabilities vision, reasoning; input image, pdf, text, video; output image, text.","text":"Nano Banana 2.1 (gemini-nano-banana-2.1) is a chat model from gemini with a 65.5K-token context window; capabilities vision, reasoning; input image, pdf, text, video; output image, text. Vendor: gemini. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text, video. Output modalities: image, text. Capabilities: vision, reasoning. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-nano-banana-2.1.html"}
{"id":"gemini-omni-1.1-flash","label":"Gemini Omni 1.1 Flash","kind":"CHAT","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["vision","reasoning"],"modalities":{"input":["audio","image","text","video"],"output":["text","video"]},"pricing":{"inputPer1M":1.5,"outputPer1M":9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-omni-1.1-flash","title":"Gemini Omni 1.1 Flash","abstract":"Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) is a chat model from gemini with a 131.1K-token context window; capabilities vision, reasoning; input audio, image, text, video; output text, video.","text":"Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) is a chat model from gemini with a 131.1K-token context window; capabilities vision, reasoning; input audio, image, text, video; output text, video. Vendor: gemini. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.5 in / $9 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: text, video. Capabilities: vision, reasoning. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-omni-1.1-flash.html"}
{"id":"gemini-omni-flash-preview","label":"Gemini Omni Flash Preview","kind":"CHAT","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","text","video"],"output":["text","video"]},"releaseDate":"2026-06-30","pricing":{"inputPer1M":1.5,"outputPer1M":9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-omni-flash-preview","title":"Gemini Omni Flash Preview","abstract":"Gemini Omni Flash Preview (gemini-omni-flash-preview) is a chat model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities vision, reasoning; input audio, image, text, video; output text, video.","text":"Gemini Omni Flash Preview (gemini-omni-flash-preview) is a chat model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities vision, reasoning; input audio, image, text, video; output text, video. Vendor: gemini. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.5 in / $9 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: text, video. Capabilities: vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-06-30. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-omni-flash-preview.html"}
{"id":"gemini-pro-latest","label":"Gemini Pro Latest","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-pro-latest","title":"Gemini Pro Latest","abstract":"Gemini Pro Latest (gemini-pro-latest) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini Pro Latest (gemini-pro-latest) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Sources: committed, gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-pro-latest.html"}
{"id":"gemini-robotics-er-2-preview","label":"Gemini Robotics-ER 2 Preview","kind":"CHAT","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-robotics-er-2-preview","title":"Gemini Robotics-ER 2 Preview","abstract":"Gemini Robotics-ER 2 Preview (gemini-robotics-er-2-preview) is a chat model from gemini with a 131.1K-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini Robotics-ER 2 Preview (gemini-robotics-er-2-preview) is a chat model from gemini with a 131.1K-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: gemini. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-robotics-er-2-preview.html"}
{"id":"gemma-4-26b-a4b-it","label":"Gemma 4 26B A4B IT","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-04-02","sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemma-4-26b-a4b-it","title":"Gemma 4 26B A4B IT","abstract":"Gemma 4 26B A4B IT (gemma-4-26b-a4b-it) is a chat model from gemini with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Gemma 4 26B A4B IT (gemma-4-26b-a4b-it) is a chat model from gemini with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: gemini. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-04-02. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemma-4-26b-a4b-it.html"}
{"id":"gemma-4-31b-it","label":"Gemma 4 31B IT","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-04-02","sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemma-4-31b-it","title":"Gemma 4 31B IT","abstract":"Gemma 4 31B IT (gemma-4-31b-it) is a chat model from gemini with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Gemma 4 31B IT (gemma-4-31b-it) is a chat model from gemini with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: gemini. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-04-02. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemma-4-31b-it.html"}
{"id":"lyria-3-clip-preview","label":"Lyria 3 Clip Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["audio","text"]},"releaseDate":"2026-03-25","sources":["gemini-api","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/lyria-3-clip-preview","title":"Lyria 3 Clip Preview","abstract":"Lyria 3 Clip Preview (lyria-3-clip-preview) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities vision; input image, text; output audio, text.","text":"Lyria 3 Clip Preview (lyria-3-clip-preview) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities vision; input image, text; output audio, text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Input modalities: image, text. Output modalities: audio, text. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-03-25. Sources: gemini-api, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/lyria-3-clip-preview.html"}
{"id":"lyria-3-pro-preview","label":"Lyria 3 Pro Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["audio","text"]},"releaseDate":"2026-03-25","sources":["gemini-api","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/lyria-3-pro-preview","title":"Lyria 3 Pro Preview","abstract":"Lyria 3 Pro Preview (lyria-3-pro-preview) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities vision; input image, text; output audio, text.","text":"Lyria 3 Pro Preview (lyria-3-pro-preview) is a chat model from gemini with a 1.0M-token context window; proprietary (API-only); capabilities vision; input image, text; output audio, text. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Input modalities: image, text. Output modalities: audio, text. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-03-25. Sources: gemini-api, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/lyria-3-pro-preview.html"}
{"id":"lyria-3.5","label":"Lyria 3.5","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"modalities":{"input":["text"],"output":["audio"]},"sources":["gemini-api"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/lyria-3.5","title":"Lyria 3.5","abstract":"Lyria 3.5 (lyria-3.5) is a chat model from gemini with a 1.0M-token context window; input text; output audio.","text":"Lyria 3.5 (lyria-3.5) is a chat model from gemini with a 1.0M-token context window; input text; output audio. Vendor: gemini. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Input modalities: text. Output modalities: audio. Sources: gemini-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/lyria-3.5.html"}
{"id":"nano-banana-pro-preview","label":"Nano Banana Pro","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["vision"],"modalities":{"input":["image","text"],"output":["image","text"]},"pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/nano-banana-pro-preview","title":"Nano Banana Pro","abstract":"Nano Banana Pro (nano-banana-pro-preview) is a chat model from gemini with a 131.1K-token context window; capabilities vision; input image, text; output image, text.","text":"Nano Banana Pro (nano-banana-pro-preview) is a chat model from gemini with a 131.1K-token context window; capabilities vision; input image, text; output image, text. Vendor: gemini. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: vision. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/nano-banana-pro-preview.html"}
{"id":"gemini-embedding-001","label":"Gemini Embedding 001","kind":"EMBEDDING","contextWindow":2048,"maxOutputTokens":1,"embeddingDimensions":3072,"openWeights":false,"modalities":{"input":["text"],"output":["embedding"]},"knowledgeCutoff":"2025-05","releaseDate":"2025-05-20","pricing":{"inputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-embedding-001","title":"Gemini Embedding 001","abstract":"Gemini Embedding 001 (gemini-embedding-001) is a embedding model from gemini with a 2.0K-token context window; proprietary (API-only); 3,072-dimensional embeddings; input text; output embedding.","text":"Gemini Embedding 001 (gemini-embedding-001) is a embedding model from gemini with a 2.0K-token context window; proprietary (API-only); 3,072-dimensional embeddings; input text; output embedding. Vendor: gemini. Kind: EMBEDDING. Context window: 2,048 tokens. Max output tokens: 1 tokens. Embedding dimensions: 3,072. Indicative price (US list): $0.15 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Weights: Proprietary (API-only). Knowledge cutoff: 2025-05. Release date: 2025-05-20. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-embedding-001.html"}
{"id":"gemini-embedding-2","label":"Gemini Embedding 2","kind":"EMBEDDING","contextWindow":8192,"maxOutputTokens":1,"embeddingDimensions":3072,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["audio","image","text"],"output":["embedding"]},"knowledgeCutoff":"2025-11","releaseDate":"2026-04-22","pricing":{"inputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-embedding-2","title":"Gemini Embedding 2","abstract":"Gemini Embedding 2 (gemini-embedding-2) is a embedding model from gemini with a 8.2K-token context window; proprietary (API-only); 3,072-dimensional embeddings; capabilities vision; input audio, image, text; output embedding.","text":"Gemini Embedding 2 (gemini-embedding-2) is a embedding model from gemini with a 8.2K-token context window; proprietary (API-only); 3,072-dimensional embeddings; capabilities vision; input audio, image, text; output embedding. Vendor: gemini. Kind: EMBEDDING. Context window: 8,192 tokens. Max output tokens: 1 tokens. Embedding dimensions: 3,072. Indicative price (US list): $0.2 in per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: embedding. Capabilities: vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-11. Release date: 2026-04-22. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-embedding-2.html"}
{"id":"gemini-embedding-2-preview","label":"Gemini Embedding 2 Preview","kind":"EMBEDDING","contextWindow":8192,"maxOutputTokens":1,"embeddingDimensions":3072,"capabilities":["vision"],"modalities":{"input":["audio","image","text"],"output":["embedding"]},"pricing":{"inputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-embedding-2-preview","title":"Gemini Embedding 2 Preview","abstract":"Gemini Embedding 2 Preview (gemini-embedding-2-preview) is a embedding model from gemini with a 8.2K-token context window; 3,072-dimensional embeddings; capabilities vision; input audio, image, text; output embedding.","text":"Gemini Embedding 2 Preview (gemini-embedding-2-preview) is a embedding model from gemini with a 8.2K-token context window; 3,072-dimensional embeddings; capabilities vision; input audio, image, text; output embedding. Vendor: gemini. Kind: EMBEDDING. Context window: 8,192 tokens. Max output tokens: 1 tokens. Embedding dimensions: 3,072. Indicative price (US list): $0.2 in per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: embedding. Capabilities: vision. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-embedding-2-preview.html"}
{"id":"veo-3.1-fast-generate-001","label":"veo-3.1-fast-generate-001","kind":"VIDEO","contextWindow":1024,"modalities":{"input":["text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/veo-3.1-fast-generate-001","title":"veo-3.1-fast-generate-001","abstract":"veo-3.1-fast-generate-001 (veo-3.1-fast-generate-001) is a video model from gemini with a 1.0K-token context window; input text; output video.","text":"veo-3.1-fast-generate-001 (veo-3.1-fast-generate-001) is a video model from gemini with a 1.0K-token context window; input text; output video. Vendor: gemini. Kind: VIDEO. Context window: 1,024 tokens. Input modalities: text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/veo-3.1-fast-generate-001.html"}
{"id":"veo-3.1-fast-generate-preview","label":"Veo 3.1 fast","kind":"VIDEO","contextWindow":480,"maxOutputTokens":8192,"modalities":{"input":["text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/veo-3.1-fast-generate-preview","title":"Veo 3.1 fast","abstract":"Veo 3.1 fast (veo-3.1-fast-generate-preview) is a video model from gemini with a 480-token context window; input text; output video.","text":"Veo 3.1 fast (veo-3.1-fast-generate-preview) is a video model from gemini with a 480-token context window; input text; output video. Vendor: gemini. Kind: VIDEO. Context window: 480 tokens. Max output tokens: 8,192 tokens. Input modalities: text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/veo-3.1-fast-generate-preview.html"}
{"id":"veo-3.1-generate-001","label":"veo-3.1-generate-001","kind":"VIDEO","contextWindow":1024,"modalities":{"input":["text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/veo-3.1-generate-001","title":"veo-3.1-generate-001","abstract":"veo-3.1-generate-001 (veo-3.1-generate-001) is a video model from gemini with a 1.0K-token context window; input text; output video.","text":"veo-3.1-generate-001 (veo-3.1-generate-001) is a video model from gemini with a 1.0K-token context window; input text; output video. Vendor: gemini. Kind: VIDEO. Context window: 1,024 tokens. Input modalities: text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/veo-3.1-generate-001.html"}
{"id":"veo-3.1-generate-preview","label":"Veo 3.1","kind":"VIDEO","contextWindow":480,"maxOutputTokens":8192,"modalities":{"input":["text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/veo-3.1-generate-preview","title":"Veo 3.1","abstract":"Veo 3.1 (veo-3.1-generate-preview) is a video model from gemini with a 480-token context window; input text; output video.","text":"Veo 3.1 (veo-3.1-generate-preview) is a video model from gemini with a 480-token context window; input text; output video. Vendor: gemini. Kind: VIDEO. Context window: 480 tokens. Max output tokens: 8,192 tokens. Input modalities: text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/veo-3.1-generate-preview.html"}
{"id":"veo-3.1-lite-generate-preview","label":"Veo 3.1 lite","kind":"VIDEO","contextWindow":480,"maxOutputTokens":8192,"modalities":{"input":["text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/veo-3.1-lite-generate-preview","title":"Veo 3.1 lite","abstract":"Veo 3.1 lite (veo-3.1-lite-generate-preview) is a video model from gemini with a 480-token context window; input text; output video.","text":"Veo 3.1 lite (veo-3.1-lite-generate-preview) is a video model from gemini with a 480-token context window; input text; output video. Vendor: gemini. Kind: VIDEO. Context window: 480 tokens. Max output tokens: 8,192 tokens. Input modalities: text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/veo-3.1-lite-generate-preview.html"}
{"id":"aqa","label":"Model that performs Attributed Question Answering.","kind":"UNKNOWN","contextWindow":7168,"maxOutputTokens":1024,"sources":["gemini-api"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/aqa","title":"Model that performs Attributed Question Answering.","abstract":"Model that performs Attributed Question Answering. (aqa) is a unknown model from gemini with a 7.2K-token context window.","text":"Model that performs Attributed Question Answering. (aqa) is a unknown model from gemini with a 7.2K-token context window. Vendor: gemini. Kind: UNKNOWN. Context window: 7,168 tokens. Max output tokens: 1,024 tokens. Sources: gemini-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/aqa.html"}
{"id":"gemini-2.5-flash-native-audio-latest","label":"Gemini 2.5 Flash Native Audio Latest","kind":"UNKNOWN","contextWindow":131072,"maxOutputTokens":8192,"modalities":{"input":["audio","text"],"output":["audio","text"]},"pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-2.5-flash-native-audio-latest","title":"Gemini 2.5 Flash Native Audio Latest","abstract":"Gemini 2.5 Flash Native Audio Latest (gemini-2.5-flash-native-audio-latest) is a unknown model from gemini with a 131.1K-token context window; input audio, text; output audio, text.","text":"Gemini 2.5 Flash Native Audio Latest (gemini-2.5-flash-native-audio-latest) is a unknown model from gemini with a 131.1K-token context window; input audio, text; output audio, text. Vendor: gemini. Kind: UNKNOWN. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio, text. Sources: committed, gemini-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-2.5-flash-native-audio-latest.html"}
{"id":"gemini-2.5-flash-native-audio-preview-09-2025","label":"Gemini 2.5 Flash Native Audio Preview 09-2025","kind":"UNKNOWN","contextWindow":131072,"maxOutputTokens":8192,"modalities":{"input":["audio","text"],"output":["audio","text"]},"pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-2.5-flash-native-audio-preview-09-2025","title":"Gemini 2.5 Flash Native Audio Preview 09-2025","abstract":"Gemini 2.5 Flash Native Audio Preview 09-2025 (gemini-2.5-flash-native-audio-preview-09-2025) is a unknown model from gemini with a 131.1K-token context window; input audio, text; output audio, text.","text":"Gemini 2.5 Flash Native Audio Preview 09-2025 (gemini-2.5-flash-native-audio-preview-09-2025) is a unknown model from gemini with a 131.1K-token context window; input audio, text; output audio, text. Vendor: gemini. Kind: UNKNOWN. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio, text. Sources: committed, gemini-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-2.5-flash-native-audio-preview-09-2025.html"}
{"id":"gemini-2.5-flash-native-audio-preview-12-2025","label":"Gemini 2.5 Flash Native Audio Preview 12-2025","kind":"UNKNOWN","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","text"],"output":["audio","text"]},"pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-2.5-flash-native-audio-preview-12-2025","title":"Gemini 2.5 Flash Native Audio Preview 12-2025","abstract":"Gemini 2.5 Flash Native Audio Preview 12-2025 (gemini-2.5-flash-native-audio-preview-12-2025) is a unknown model from gemini with a 131.1K-token context window; capabilities tools, vision, reasoning; input audio, image, text; output audio, text.","text":"Gemini 2.5 Flash Native Audio Preview 12-2025 (gemini-2.5-flash-native-audio-preview-12-2025) is a unknown model from gemini with a 131.1K-token context window; capabilities tools, vision, reasoning; input audio, image, text; output audio, text. Vendor: gemini. Kind: UNKNOWN. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: audio, text. Capabilities: tools, vision, reasoning. Sources: committed, gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-2.5-flash-native-audio-preview-12-2025.html"}
{"id":"gemini-3.1-flash-live-preview","label":"Gemini 3.1 Flash Live Preview","kind":"UNKNOWN","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","text","video"],"output":["audio","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-03-26","pricing":{"inputPer1M":0.75,"outputPer1M":4.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.1-flash-live-preview","title":"Gemini 3.1 Flash Live Preview","abstract":"Gemini 3.1 Flash Live Preview (gemini-3.1-flash-live-preview) is a unknown model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text, video; output audio, text.","text":"Gemini 3.1 Flash Live Preview (gemini-3.1-flash-live-preview) is a unknown model from gemini with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text, video; output audio, text. Vendor: gemini. Kind: UNKNOWN. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.75 in / $4.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: audio, text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-03-26. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.1-flash-live-preview.html"}
{"id":"gemini-3.5-live-translate-preview","label":"Gemini 3.5 Live Translate Preview","kind":"UNKNOWN","contextWindow":16384,"maxOutputTokens":32768,"openWeights":false,"modalities":{"input":["audio","text"],"output":["audio","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-06-09","pricing":{"inputPer1M":3.5,"outputPer1M":21,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.5-live-translate-preview","title":"Gemini 3.5 Live Translate Preview","abstract":"Gemini 3.5 Live Translate Preview (gemini-3.5-live-translate-preview) is a unknown model from gemini with a 16.4K-token context window; proprietary (API-only); input audio, text; output audio, text.","text":"Gemini 3.5 Live Translate Preview (gemini-3.5-live-translate-preview) is a unknown model from gemini with a 16.4K-token context window; proprietary (API-only); input audio, text; output audio, text. Vendor: gemini. Kind: UNKNOWN. Context window: 16,384 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $3.5 in / $21 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio, text. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-06-09. Sources: gemini-api, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.5-live-translate-preview.html"}
{"id":"gemini-3.5-transcribe-live","label":"Gemini 3.5 Transcribe Live","kind":"UNKNOWN","contextWindow":131072,"maxOutputTokens":65536,"modalities":{"input":["audio","text"],"output":["text"]},"pricing":{"inputPer1M":3.5,"outputPer1M":21,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.5-transcribe-live","title":"Gemini 3.5 Transcribe Live","abstract":"Gemini 3.5 Transcribe Live (gemini-3.5-transcribe-live) is a unknown model from gemini with a 131.1K-token context window; input audio, text; output text.","text":"Gemini 3.5 Transcribe Live (gemini-3.5-transcribe-live) is a unknown model from gemini with a 131.1K-token context window; input audio, text; output text. Vendor: gemini. Kind: UNKNOWN. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $3.5 in / $21 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: text. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.5-transcribe-live.html"}
{"id":"gemini-3.8-live","label":"Gemini 3.8 Live","kind":"UNKNOWN","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","text","video"],"output":["audio","text"]},"pricing":{"inputPer1M":0.75,"outputPer1M":4.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.8-live","title":"Gemini 3.8 Live","abstract":"Gemini 3.8 Live (gemini-3.8-live) is a unknown model from gemini with a 131.1K-token context window; capabilities tools, vision, reasoning; input audio, image, text, video; output audio, text.","text":"Gemini 3.8 Live (gemini-3.8-live) is a unknown model from gemini with a 131.1K-token context window; capabilities tools, vision, reasoning; input audio, image, text, video; output audio, text. Vendor: gemini. Kind: UNKNOWN. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.75 in / $4.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: audio, text. Capabilities: tools, vision, reasoning. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.8-live.html"}
{"id":"gemini-3.8-live-extended-thinking","label":"Gemini 3.8 Live Extended Thinking","kind":"UNKNOWN","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","text","video"],"output":["audio","text"]},"pricing":{"inputPer1M":0.75,"outputPer1M":4.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-3.8-live-extended-thinking","title":"Gemini 3.8 Live Extended Thinking","abstract":"Gemini 3.8 Live Extended Thinking (gemini-3.8-live-extended-thinking) is a unknown model from gemini with a 131.1K-token context window; capabilities tools, vision, reasoning; input audio, image, text, video; output audio, text.","text":"Gemini 3.8 Live Extended Thinking (gemini-3.8-live-extended-thinking) is a unknown model from gemini with a 131.1K-token context window; capabilities tools, vision, reasoning; input audio, image, text, video; output audio, text. Vendor: gemini. Kind: UNKNOWN. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.75 in / $4.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: audio, text. Capabilities: tools, vision, reasoning. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-3.8-live-extended-thinking.html"}
{"id":"gemini-robotics-er-2-streaming-preview","label":"Gemini Robotics-ER 2 Streaming Preview","kind":"UNKNOWN","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","text","video"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["gemini-api","litellm"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/gemini-robotics-er-2-streaming-preview","title":"Gemini Robotics-ER 2 Streaming Preview","abstract":"Gemini Robotics-ER 2 Streaming Preview (gemini-robotics-er-2-streaming-preview) is a unknown model from gemini with a 131.1K-token context window; capabilities tools, vision, reasoning; input audio, image, text, video; output text.","text":"Gemini Robotics-ER 2 Streaming Preview (gemini-robotics-er-2-streaming-preview) is a unknown model from gemini with a 131.1K-token context window; capabilities tools, vision, reasoning; input audio, image, text, video; output text. Vendor: gemini. Kind: UNKNOWN. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: gemini-api, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/gemini-robotics-er-2-streaming-preview.html"}
{"id":"lyria-realtime-exp","label":"Lyria Realtime Experimental","kind":"UNKNOWN","contextWindow":1048576,"maxOutputTokens":65536,"modalities":{"input":["text"],"output":["audio"]},"sources":["gemini-api"],"lastVerified":"2026-11-05","vendor":"gemini","ref":"gemini/lyria-realtime-exp","title":"Lyria Realtime Experimental","abstract":"Lyria Realtime Experimental (lyria-realtime-exp) is a unknown model from gemini with a 1.0M-token context window; input text; output audio.","text":"Lyria Realtime Experimental (lyria-realtime-exp) is a unknown model from gemini with a 1.0M-token context window; input text; output audio. Vendor: gemini. Kind: UNKNOWN. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Input modalities: text. Output modalities: audio. Sources: gemini-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini/lyria-realtime-exp.html"}
{"id":"gemini-1.5-flash","label":"Gemini 1.5 Flash","kind":"CHAT","contextWindow":1048576,"capabilities":["vision","tools"],"sources":["committed"],"lastVerified":"2026-11-05","vendor":"gemini-openai","ref":"gemini-openai/gemini-1.5-flash","title":"Gemini 1.5 Flash","abstract":"Gemini 1.5 Flash (gemini-1.5-flash) is a chat model from gemini-openai with a 1.0M-token context window; capabilities vision, tools.","text":"Gemini 1.5 Flash (gemini-1.5-flash) is a chat model from gemini-openai with a 1.0M-token context window; capabilities vision, tools. Vendor: gemini-openai. Kind: CHAT. Context window: 1,048,576 tokens. Capabilities: vision, tools. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini-openai/gemini-1.5-flash.html"}
{"id":"gemini-1.5-pro","label":"Gemini 1.5 Pro","kind":"CHAT","contextWindow":2097152,"capabilities":["vision","tools"],"sources":["committed"],"lastVerified":"2026-11-05","vendor":"gemini-openai","ref":"gemini-openai/gemini-1.5-pro","title":"Gemini 1.5 Pro","abstract":"Gemini 1.5 Pro (gemini-1.5-pro) is a chat model from gemini-openai with a 2.1M-token context window; capabilities vision, tools.","text":"Gemini 1.5 Pro (gemini-1.5-pro) is a chat model from gemini-openai with a 2.1M-token context window; capabilities vision, tools. Vendor: gemini-openai. Kind: CHAT. Context window: 2,097,152 tokens. Capabilities: vision, tools. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini-openai/gemini-1.5-pro.html"}
{"id":"gemini-2.0-flash","label":"Gemini 2.0 Flash","kind":"CHAT","contextWindow":1048576,"capabilities":["vision","tools"],"sources":["committed"],"lastVerified":"2026-11-05","vendor":"gemini-openai","ref":"gemini-openai/gemini-2.0-flash","title":"Gemini 2.0 Flash","abstract":"Gemini 2.0 Flash (gemini-2.0-flash) is a chat model from gemini-openai with a 1.0M-token context window; capabilities vision, tools.","text":"Gemini 2.0 Flash (gemini-2.0-flash) is a chat model from gemini-openai with a 1.0M-token context window; capabilities vision, tools. Vendor: gemini-openai. Kind: CHAT. Context window: 1,048,576 tokens. Capabilities: vision, tools. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini-openai/gemini-2.0-flash.html"}
{"id":"gemini-2.5-flash","label":"Gemini 2.5 Flash","kind":"CHAT","contextWindow":1048576,"capabilities":["vision","tools"],"sources":["committed"],"lastVerified":"2026-11-05","vendor":"gemini-openai","ref":"gemini-openai/gemini-2.5-flash","title":"Gemini 2.5 Flash","abstract":"Gemini 2.5 Flash (gemini-2.5-flash) is a chat model from gemini-openai with a 1.0M-token context window; capabilities vision, tools.","text":"Gemini 2.5 Flash (gemini-2.5-flash) is a chat model from gemini-openai with a 1.0M-token context window; capabilities vision, tools. Vendor: gemini-openai. Kind: CHAT. Context window: 1,048,576 tokens. Capabilities: vision, tools. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini-openai/gemini-2.5-flash.html"}
{"id":"gemini-2.5-pro","label":"Gemini 2.5 Pro","kind":"CHAT","contextWindow":1048576,"capabilities":["vision","tools"],"sources":["committed"],"lastVerified":"2026-11-05","vendor":"gemini-openai","ref":"gemini-openai/gemini-2.5-pro","title":"Gemini 2.5 Pro","abstract":"Gemini 2.5 Pro (gemini-2.5-pro) is a chat model from gemini-openai with a 1.0M-token context window; capabilities vision, tools.","text":"Gemini 2.5 Pro (gemini-2.5-pro) is a chat model from gemini-openai with a 1.0M-token context window; capabilities vision, tools. Vendor: gemini-openai. Kind: CHAT. Context window: 1,048,576 tokens. Capabilities: vision, tools. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/gemini-openai/gemini-2.5-pro.html"}
{"id":"llama-3.1-8b-instant","label":"Llama 3.1 8B Instant","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8192,"capabilities":["tools"],"openWeights":true,"parameters":8000000000,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12","releaseDate":"2024-07-23","pricing":{"inputPer1M":0.05,"outputPer1M":0.08,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"groq","ref":"groq/llama-3.1-8b-instant","title":"Llama 3.1 8B Instant","abstract":"Llama 3.1 8B Instant (llama-3.1-8b-instant) is a chat model from groq with a 128K-token context window; open-weight (8B parameters); capabilities tools; input text; output text.","text":"Llama 3.1 8B Instant (llama-3.1-8b-instant) is a chat model from groq with a 128K-token context window; open-weight (8B parameters); capabilities tools; input text; output text. Vendor: groq. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.05 in / $0.08 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Parameters: 8B. Knowledge cutoff: 2023-12. Release date: 2024-07-23. Sources: committed, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/groq/llama-3.1-8b-instant.html"}
{"id":"llama-3.3-70b-versatile","label":"Llama 3.3 70B Versatile","kind":"CHAT","contextWindow":128000,"maxOutputTokens":32768,"capabilities":["tools"],"openWeights":true,"parameters":70000000000,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12","releaseDate":"2024-12-06","pricing":{"inputPer1M":0.59,"outputPer1M":0.79,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"groq","ref":"groq/llama-3.3-70b-versatile","title":"Llama 3.3 70B Versatile","abstract":"Llama 3.3 70B Versatile (llama-3.3-70b-versatile) is a chat model from groq with a 128K-token context window; open-weight (70B parameters); capabilities tools; input text; output text.","text":"Llama 3.3 70B Versatile (llama-3.3-70b-versatile) is a chat model from groq with a 128K-token context window; open-weight (70B parameters); capabilities tools; input text; output text. Vendor: groq. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.59 in / $0.79 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Parameters: 70B. Knowledge cutoff: 2023-12. Release date: 2024-12-06. Sources: committed, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/groq/llama-3.3-70b-versatile.html"}
{"id":"meta-llama/llama-4-maverick-17b-128e-instruct","label":"Llama 4 Maverick 17B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools","vision"],"openWeights":true,"parameters":400000000000,"modalities":{"input":["image","text"]},"pricing":{"inputPer1M":0.2,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"groq","ref":"groq/meta-llama/llama-4-maverick-17b-128e-instruct","title":"Llama 4 Maverick 17B","abstract":"Llama 4 Maverick 17B (meta-llama/llama-4-maverick-17b-128e-instruct) is a chat model from groq with a 131.1K-token context window; open-weight (400B parameters); capabilities tools, vision; input image, text.","text":"Llama 4 Maverick 17B (meta-llama/llama-4-maverick-17b-128e-instruct) is a chat model from groq with a 131.1K-token context window; open-weight (400B parameters); capabilities tools, vision; input image, text. Vendor: groq. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.2 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Capabilities: tools, vision. Weights: Open-weight. Parameters: 400B. Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/groq/meta-llama-llama-4-maverick-17b-128e-instruct.html"}
{"id":"meta-llama/llama-4-scout-17b-16e-instruct","label":"Llama 4 Scout 17B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools","vision"],"openWeights":true,"parameters":109000000000,"modalities":{"input":["image","text"]},"pricing":{"inputPer1M":0.11,"outputPer1M":0.34,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"groq","ref":"groq/meta-llama/llama-4-scout-17b-16e-instruct","title":"Llama 4 Scout 17B","abstract":"Llama 4 Scout 17B (meta-llama/llama-4-scout-17b-16e-instruct) is a chat model from groq with a 131.1K-token context window; open-weight (109B parameters); capabilities tools, vision; input image, text.","text":"Llama 4 Scout 17B (meta-llama/llama-4-scout-17b-16e-instruct) is a chat model from groq with a 131.1K-token context window; open-weight (109B parameters); capabilities tools, vision; input image, text. Vendor: groq. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.11 in / $0.34 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Capabilities: tools, vision. Weights: Open-weight. Parameters: 109B. Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/groq/meta-llama-llama-4-scout-17b-16e-instruct.html"}
{"id":"moonshotai/kimi-k2-instruct-0905","label":"Kimi K2 Instruct","kind":"CHAT","contextWindow":262144,"maxOutputTokens":16384,"capabilities":["tools"],"openWeights":true,"parameters":1000000000000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"groq","ref":"groq/moonshotai/kimi-k2-instruct-0905","title":"Kimi K2 Instruct","abstract":"Kimi K2 Instruct (moonshotai/kimi-k2-instruct-0905) is a chat model from groq with a 262.1K-token context window; open-weight (1000B parameters); capabilities tools; input text.","text":"Kimi K2 Instruct (moonshotai/kimi-k2-instruct-0905) is a chat model from groq with a 262.1K-token context window; open-weight (1000B parameters); capabilities tools; input text. Vendor: groq. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $1 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools. Weights: Open-weight. Parameters: 1000B. Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/groq/moonshotai-kimi-k2-instruct-0905.html"}
{"id":"openai/gpt-oss-120b","label":"GPT-OSS 120B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32766,"capabilities":["tools","reasoning"],"openWeights":true,"parameters":117000000000,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06","releaseDate":"2025-08-05","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"groq","ref":"groq/openai/gpt-oss-120b","title":"GPT-OSS 120B","abstract":"GPT-OSS 120B (openai/gpt-oss-120b) is a chat model from groq with a 131.1K-token context window; open-weight (117B parameters); capabilities tools, reasoning; input text; output text.","text":"GPT-OSS 120B (openai/gpt-oss-120b) is a chat model from groq with a 131.1K-token context window; open-weight (117B parameters); capabilities tools, reasoning; input text; output text. Vendor: groq. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,766 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Parameters: 117B. Knowledge cutoff: 2024-06. Release date: 2025-08-05. Sources: committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/groq/openai-gpt-oss-120b.html"}
{"id":"openai/gpt-oss-20b","label":"GPT-OSS 20B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":true,"parameters":21000000000,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06","releaseDate":"2025-08-05","pricing":{"inputPer1M":0.075,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":14.9,"scores":{"coding":{"value":20.7},"math":{"value":89.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":245.179,"latencyTtftSec":0.422,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"groq","ref":"groq/openai/gpt-oss-20b","title":"GPT-OSS 20B","abstract":"GPT-OSS 20B (openai/gpt-oss-20b) is a chat model from groq with a 131.1K-token context window; open-weight (21B parameters); capabilities tools, reasoning; input text; output text.","text":"GPT-OSS 20B (openai/gpt-oss-20b) is a chat model from groq with a 131.1K-token context window; open-weight (21B parameters); capabilities tools, reasoning; input text; output text. Vendor: groq. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.075 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 14.9 · coding 20.7 · math 89.3 (cited from Artificial Analysis — verify at the source). Cited speed: 245.179 tokens/s · 0.422s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Parameters: 21B. Knowledge cutoff: 2024-06. Release date: 2025-08-05. Sources: committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/groq/openai-gpt-oss-20b.html"}
{"id":"qwen/qwen3-32b","label":"Qwen3 32B","kind":"CHAT","contextWindow":131000,"maxOutputTokens":131000,"capabilities":["tools","reasoning"],"openWeights":true,"parameters":32000000000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.29,"outputPer1M":0.59,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"groq","ref":"groq/qwen/qwen3-32b","title":"Qwen3 32B","abstract":"Qwen3 32B (qwen/qwen3-32b) is a chat model from groq with a 131K-token context window; open-weight (32B parameters); capabilities tools, reasoning; input text.","text":"Qwen3 32B (qwen/qwen3-32b) is a chat model from groq with a 131K-token context window; open-weight (32B parameters); capabilities tools, reasoning; input text. Vendor: groq. Kind: CHAT. Context window: 131,000 tokens. Max output tokens: 131,000 tokens. Indicative price (US list): $0.29 in / $0.59 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Parameters: 32B. Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/groq/qwen-qwen3-32b.html"}
{"id":"muse-spark-1.1","label":"Muse Spark 1.1","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-04-08","pricing":{"inputPer1M":1.25,"outputPer1M":4.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":201.22,"latencyTtftSec":12.75,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"meta","ref":"meta/muse-spark-1.1","title":"Muse Spark 1.1","abstract":"Muse Spark 1.1 (muse-spark-1.1) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text, video; output text.","text":"Muse Spark 1.1 (muse-spark-1.1) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text, video; output text. Vendor: meta. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.25 in / $4.25 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 201.22 tokens/s · 12.75s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-04-08. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/meta/muse-spark-1.1.html"}
{"id":"muse-spark-1.2","label":"Muse Spark 1.2","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-08-05","pricing":{"inputPer1M":1.25,"outputPer1M":4.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":227.82,"latencyTtftSec":12.41,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"meta","ref":"meta/muse-spark-1.2","title":"Muse Spark 1.2","abstract":"Muse Spark 1.2 (muse-spark-1.2) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Muse Spark 1.2 (muse-spark-1.2) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: meta. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.25 in / $4.25 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 227.82 tokens/s · 12.41s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-08-05. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/meta/muse-spark-1.2.html"}
{"id":"muse-spark-1.2-contributor","label":"Muse Spark 1.2 Contributor","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-08-05","pricing":{"inputPer1M":0.1,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"meta","ref":"meta/muse-spark-1.2-contributor","title":"Muse Spark 1.2 Contributor","abstract":"Muse Spark 1.2 Contributor (muse-spark-1.2-contributor) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Muse Spark 1.2 Contributor (muse-spark-1.2-contributor) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: meta. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.1 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-08-05. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/meta/muse-spark-1.2-contributor.html"}
{"id":"muse-spark-1.3","label":"Muse Spark 1.3","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-09-02","pricing":{"inputPer1M":1.25,"outputPer1M":4.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":36.6,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":123.9,"latencyTtftSec":42.09,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"meta","ref":"meta/muse-spark-1.3","title":"Muse Spark 1.3","abstract":"Muse Spark 1.3 (muse-spark-1.3) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Muse Spark 1.3 (muse-spark-1.3) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: meta. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.25 in / $4.25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 36.6 (cited from Artificial Analysis — verify at the source). Cited speed: 123.9 tokens/s · 42.09s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-02. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/meta/muse-spark-1.3.html"}
{"id":"muse-spark-1.3-contributor","label":"Muse Spark 1.3 Contributor","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-09-02","pricing":{"inputPer1M":0.1,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"meta","ref":"meta/muse-spark-1.3-contributor","title":"Muse Spark 1.3 Contributor","abstract":"Muse Spark 1.3 Contributor (muse-spark-1.3-contributor) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Muse Spark 1.3 Contributor (muse-spark-1.3-contributor) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: meta. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.1 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-02. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/meta/muse-spark-1.3-contributor.html"}
{"id":"muse-wonder-1.0","label":"Muse Wonder","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-10-12","pricing":{"inputPer1M":4,"outputPer1M":20,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"meta","ref":"meta/muse-wonder-1.0","title":"Muse Wonder","abstract":"Muse Wonder (muse-wonder-1.0) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Muse Wonder (muse-wonder-1.0) is a chat model from meta with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: meta. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $4 in / $20 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-10-12. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/meta/muse-wonder-1.0.html"}
{"id":"MiniMax-M2","label":"MiniMax M2","kind":"CHAT","contextWindow":200000,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-10-27","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":28.3,"scores":{"math":{"value":78.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":101.85,"latencyTtftSec":1.43,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"minimax","ref":"minimax/MiniMax-M2","title":"MiniMax M2","abstract":"MiniMax M2 (MiniMax-M2) is a chat model from minimax with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"MiniMax M2 (MiniMax-M2) is a chat model from minimax with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: minimax. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 28.3 · math 78.3 (cited from Artificial Analysis — verify at the source). Cited speed: 101.85 tokens/s · 1.43s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2025-10-27. Sources: artificial-analysis, committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/minimax/minimax-m2.html"}
{"id":"MiniMax-M2.1","label":"MiniMax-M2.1","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-12-23","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":44.36,"latencyTtftSec":1.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"minimax","ref":"minimax/MiniMax-M2.1","title":"MiniMax-M2.1","abstract":"MiniMax-M2.1 (MiniMax-M2.1) is a chat model from minimax with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"MiniMax-M2.1 (MiniMax-M2.1) is a chat model from minimax with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: minimax. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 44.36 tokens/s · 1.7s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2025-12-23. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/minimax/minimax-m2.1.html"}
{"id":"MiniMax-M2.5","label":"MiniMax-M2.5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-02-12","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":43.45,"latencyTtftSec":1.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"minimax","ref":"minimax/MiniMax-M2.5","title":"MiniMax-M2.5","abstract":"MiniMax-M2.5 (MiniMax-M2.5) is a chat model from minimax with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"MiniMax-M2.5 (MiniMax-M2.5) is a chat model from minimax with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: minimax. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 43.45 tokens/s · 1.7s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-02-12. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/minimax/minimax-m2.5.html"}
{"id":"MiniMax-M2.5-highspeed","label":"MiniMax-M2.5-highspeed","kind":"CHAT","contextWindow":204800,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-02-13","pricing":{"inputPer1M":0.6,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"minimax","ref":"minimax/MiniMax-M2.5-highspeed","title":"MiniMax-M2.5-highspeed","abstract":"MiniMax-M2.5-highspeed (MiniMax-M2.5-highspeed) is a chat model from minimax with a 204.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"MiniMax-M2.5-highspeed (MiniMax-M2.5-highspeed) is a chat model from minimax with a 204.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: minimax. Kind: CHAT. Context window: 204,800 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.6 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-02-13. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/minimax/minimax-m2.5-highspeed.html"}
{"id":"MiniMax-M2.7","label":"MiniMax-M2.7","kind":"CHAT","contextWindow":204800,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-03-18","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":47.82,"latencyTtftSec":1.69,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"minimax","ref":"minimax/MiniMax-M2.7","title":"MiniMax-M2.7","abstract":"MiniMax-M2.7 (MiniMax-M2.7) is a chat model from minimax with a 204.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"MiniMax-M2.7 (MiniMax-M2.7) is a chat model from minimax with a 204.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: minimax. Kind: CHAT. Context window: 204,800 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 47.82 tokens/s · 1.69s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-03-18. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/minimax/minimax-m2.7.html"}
{"id":"MiniMax-M2.7-highspeed","label":"MiniMax-M2.7-highspeed","kind":"CHAT","contextWindow":204800,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-03-18","pricing":{"inputPer1M":0.6,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"minimax","ref":"minimax/MiniMax-M2.7-highspeed","title":"MiniMax-M2.7-highspeed","abstract":"MiniMax-M2.7-highspeed (MiniMax-M2.7-highspeed) is a chat model from minimax with a 204.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"MiniMax-M2.7-highspeed (MiniMax-M2.7-highspeed) is a chat model from minimax with a 204.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: minimax. Kind: CHAT. Context window: 204,800 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.6 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-03-18. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/minimax/minimax-m2.7-highspeed.html"}
{"id":"MiniMax-M3","label":"MiniMax M3","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-06-01","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":18.9,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":106.4,"latencyTtftSec":0.82,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"minimax","ref":"minimax/MiniMax-M3","title":"MiniMax M3","abstract":"MiniMax M3 (MiniMax-M3) is a chat model from minimax with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"MiniMax M3 (MiniMax-M3) is a chat model from minimax with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: minimax. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 18.9 (cited from Artificial Analysis — verify at the source). Cited speed: 106.4 tokens/s · 0.82s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-06-01. Sources: artificial-analysis, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/minimax/minimax-m3.html"}
{"id":"MiniMax-M3.1-Flash","label":"MiniMax-M3.1-Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":524288,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-10-19","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":29.1,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":138.01,"latencyTtftSec":1.11,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev"],"lastVerified":"2026-11-05","vendor":"minimax","ref":"minimax/MiniMax-M3.1-Flash","title":"MiniMax-M3.1-Flash","abstract":"MiniMax-M3.1-Flash (MiniMax-M3.1-Flash) is a chat model from minimax with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"MiniMax-M3.1-Flash (MiniMax-M3.1-Flash) is a chat model from minimax with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: minimax. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 524,288 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 29.1 (cited from Artificial Analysis — verify at the source). Cited speed: 138.01 tokens/s · 1.11s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-10-19. Sources: artificial-analysis, committed, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/minimax/minimax-m3.1-flash.html"}
{"id":"MiniMax-H3","label":"MiniMax-H3","kind":"VIDEO","modalities":{"input":["audio","image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"minimax","ref":"minimax/MiniMax-H3","title":"MiniMax-H3","abstract":"MiniMax-H3 (MiniMax-H3) is a video model from minimax; input audio, image, text; output video.","text":"MiniMax-H3 (MiniMax-H3) is a video model from minimax; input audio, image, text; output video. Vendor: minimax. Kind: VIDEO. Input modalities: audio, image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/minimax/minimax-h3.html"}
{"id":"MiniMax-H3-Max","label":"MiniMax-H3-Max","kind":"VIDEO","modalities":{"input":["audio","image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"minimax","ref":"minimax/MiniMax-H3-Max","title":"MiniMax-H3-Max","abstract":"MiniMax-H3-Max (MiniMax-H3-Max) is a video model from minimax; input audio, image, text; output video.","text":"MiniMax-H3-Max (MiniMax-H3-Max) is a video model from minimax; input audio, image, text; output video. Vendor: minimax. Kind: VIDEO. Input modalities: audio, image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/minimax/minimax-h3-max.html"}
{"id":"codestral-2508","label":"Codestral 25.08","kind":"CHAT","contextWindow":128000,"maxOutputTokens":128000,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["pdf","text"],"output":["text"]},"releaseDate":"2025-07-30","pricing":{"inputPer1M":0.3,"outputPer1M":0.9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/codestral-2508","title":"Codestral 25.08","abstract":"Codestral 25.08 (codestral-2508) is a chat model from mistral with a 128K-token context window; proprietary (API-only); capabilities tools; input pdf, text; output text.","text":"Codestral 25.08 (codestral-2508) is a chat model from mistral with a 128K-token context window; proprietary (API-only); capabilities tools; input pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.3 in / $0.9 out per 1M tokens (indicative US list — verify with vendor). Input modalities: pdf, text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Release date: 2025-07-30. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/codestral-2508.html"}
{"id":"codestral-latest","label":"Codestral","kind":"CHAT","contextWindow":256000,"maxOutputTokens":8191,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-10","pricing":{"inputPer1M":1,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/codestral-latest","title":"Codestral","abstract":"Codestral (codestral-latest) is a chat model from mistral with a 256K-token context window; open-weight; capabilities tools; input pdf, text; output text.","text":"Codestral (codestral-latest) is a chat model from mistral with a 256K-token context window; open-weight; capabilities tools; input pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 8,191 tokens. Indicative price (US list): $1 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: pdf, text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-10. Sources: committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/codestral-latest.html"}
{"id":"deepseek-v4-1-flash-1017","label":"DeepSeek V4.1 Flash 1017","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2026-10-17","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/deepseek-v4-1-flash-1017","title":"DeepSeek V4.1 Flash 1017","abstract":"DeepSeek V4.1 Flash 1017 (deepseek-v4-1-flash-1017) is a chat model from mistral with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek V4.1 Flash 1017 (deepseek-v4-1-flash-1017) is a chat model from mistral with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: mistral. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-05. Release date: 2026-10-17. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/deepseek-v4-1-flash-1017.html"}
{"id":"devstral-2512","label":"Devstral 2","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-12","releaseDate":"2025-12-09","pricing":{"inputPer1M":0.4,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/devstral-2512","title":"Devstral 2","abstract":"Devstral 2 (devstral-2512) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Devstral 2 (devstral-2512) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.4 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-12. Release date: 2025-12-09. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/devstral-2512.html"}
{"id":"devstral-latest","label":"Devstral 2","kind":"CHAT","contextWindow":256000,"maxOutputTokens":256000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-12","pricing":{"inputPer1M":0.4,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/devstral-latest","title":"Devstral 2","abstract":"Devstral 2 (devstral-latest) is a chat model from mistral with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Devstral 2 (devstral-latest) is a chat model from mistral with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: mistral. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 256,000 tokens. Indicative price (US list): $0.4 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-12. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/devstral-latest.html"}
{"id":"devstral-medium-latest","label":"Devstral 2 (latest)","kind":"CHAT","contextWindow":256000,"maxOutputTokens":256000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-12","pricing":{"inputPer1M":0.4,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/devstral-medium-latest","title":"Devstral 2 (latest)","abstract":"Devstral 2 (latest) (devstral-medium-latest) is a chat model from mistral with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Devstral 2 (latest) (devstral-medium-latest) is a chat model from mistral with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: mistral. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 256,000 tokens. Indicative price (US list): $0.4 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-12. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/devstral-medium-latest.html"}
{"id":"glm-5-2","label":"GLM-5.2","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-06-13","pricing":{"inputPer1M":1.4,"outputPer1M":4.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/glm-5-2","title":"GLM-5.2","abstract":"GLM-5.2 (glm-5-2) is a chat model from mistral with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-5.2 (glm-5-2) is a chat model from mistral with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: mistral. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.4 in / $4.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-06-13. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/glm-5-2.html"}
{"id":"labs-devstral-small-2512","label":"Devstral Small 2","kind":"CHAT","contextWindow":256000,"maxOutputTokens":256000,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-12","releaseDate":"2025-12-09","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/labs-devstral-small-2512","title":"Devstral Small 2","abstract":"Devstral Small 2 (labs-devstral-small-2512) is a chat model from mistral with a 256K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Devstral Small 2 (labs-devstral-small-2512) is a chat model from mistral with a 256K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: mistral. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 256,000 tokens. Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2025-12. Release date: 2025-12-09. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/labs-devstral-small-2512.html"}
{"id":"labs-leanstral-1-5-1","label":"Leanstral 1.5","kind":"CHAT","contextWindow":262144,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-06-30","sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/labs-leanstral-1-5-1","title":"Leanstral 1.5","abstract":"Leanstral 1.5 (labs-leanstral-1-5-1) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Leanstral 1.5 (labs-leanstral-1-5-1) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 131,072 tokens. Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-06-30. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/labs-leanstral-1-5-1.html"}
{"id":"magistral-medium-latest","label":"Magistral Medium (latest)","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-06","pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/magistral-medium-latest","title":"Magistral Medium (latest)","abstract":"Magistral Medium (latest) (magistral-medium-latest) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Magistral Medium (latest) (magistral-medium-latest) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-06. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/magistral-medium-latest.html"}
{"id":"ministral-14b-2512","label":"Ministral 3 14B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2025-12-02","pricing":{"inputPer1M":0.2,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/ministral-14b-2512","title":"Ministral 3 14B","abstract":"Ministral 3 14B (ministral-14b-2512) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text.","text":"Ministral 3 14B (ministral-14b-2512) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.2 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Release date: 2025-12-02. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/ministral-14b-2512.html"}
{"id":"ministral-3b-2512","label":"Ministral 3 3B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2025-12-02","pricing":{"inputPer1M":0.1,"outputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/ministral-3b-2512","title":"Ministral 3 3B","abstract":"Ministral 3 3B (ministral-3b-2512) is a chat model from mistral with a 131.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text.","text":"Ministral 3 3B (ministral-3b-2512) is a chat model from mistral with a 131.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.1 in / $0.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Release date: 2025-12-02. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/ministral-3b-2512.html"}
{"id":"ministral-3b-latest","label":"Ministral 3B (latest)","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-10","pricing":{"inputPer1M":0.1,"outputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/ministral-3b-latest","title":"Ministral 3B (latest)","abstract":"Ministral 3B (latest) (ministral-3b-latest) is a chat model from mistral with a 131.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text.","text":"Ministral 3B (latest) (ministral-3b-latest) is a chat model from mistral with a 131.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.1 in / $0.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-10. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/ministral-3b-latest.html"}
{"id":"ministral-8b-2512","label":"Ministral 3 8B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2025-12-02","pricing":{"inputPer1M":0.15,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/ministral-8b-2512","title":"Ministral 3 8B","abstract":"Ministral 3 8B (ministral-8b-2512) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text.","text":"Ministral 3 8B (ministral-8b-2512) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.15 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Release date: 2025-12-02. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/ministral-8b-2512.html"}
{"id":"ministral-8b-latest","label":"Ministral 8B (latest)","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-10","pricing":{"inputPer1M":0.15,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/ministral-8b-latest","title":"Ministral 8B (latest)","abstract":"Ministral 8B (latest) (ministral-8b-latest) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text.","text":"Ministral 8B (latest) (ministral-8b-latest) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.15 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-10. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/ministral-8b-latest.html"}
{"id":"mistral-large-2512","label":"Mistral Large 3","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-11","releaseDate":"2024-11-01","pricing":{"inputPer1M":0.5,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-large-2512","title":"Mistral Large 3","abstract":"Mistral Large 3 (mistral-large-2512) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text.","text":"Mistral Large 3 (mistral-large-2512) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.5 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-11. Release date: 2024-11-01. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-large-2512.html"}
{"id":"mistral-large-4","label":"Mistral Large 4","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":1048576,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-10-06","pricing":{"inputPer1M":1.36,"outputPer1M":4.18,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":26.1,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-large-4","title":"Mistral Large 4","abstract":"Mistral Large 4 (mistral-large-4) is a chat model from mistral with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Mistral Large 4 (mistral-large-4) is a chat model from mistral with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 1,048,576 tokens. Indicative price (US list): $1.36 in / $4.18 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 26.1 (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-10-06. Sources: artificial-analysis, committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-large-4.html"}
{"id":"mistral-large-4-0-8","label":"Mistral Large 4.0.8","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":262144,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-10-06","pricing":{"inputPer1M":0.7,"outputPer1M":2.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-large-4-0-8","title":"Mistral Large 4.0.8","abstract":"Mistral Large 4.0.8 (mistral-large-4-0-8) is a chat model from mistral with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Mistral Large 4.0.8 (mistral-large-4-0-8) is a chat model from mistral with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.7 in / $2.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-10-06. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-large-4-0-8.html"}
{"id":"mistral-large-latest","label":"Mistral Large","kind":"CHAT","contextWindow":128000,"maxOutputTokens":262144,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-11","pricing":{"inputPer1M":0.5,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-large-latest","title":"Mistral Large","abstract":"Mistral Large (mistral-large-latest) is a chat model from mistral with a 128K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text.","text":"Mistral Large (mistral-large-latest) is a chat model from mistral with a 128K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.5 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-11. Sources: committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-large-latest.html"}
{"id":"mistral-medium-2505","label":"Mistral Medium 3","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2025-05-07","pricing":{"inputPer1M":0.4,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-medium-2505","title":"Mistral Medium 3","abstract":"Mistral Medium 3 (mistral-medium-2505) is a chat model from mistral with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text.","text":"Mistral Medium 3 (mistral-medium-2505) is a chat model from mistral with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text. Vendor: mistral. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.4 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-05. Release date: 2025-05-07. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-medium-2505.html"}
{"id":"mistral-medium-2508","label":"Mistral Medium 3.1","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2025-08-12","pricing":{"inputPer1M":0.4,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-medium-2508","title":"Mistral Medium 3.1","abstract":"Mistral Medium 3.1 (mistral-medium-2508) is a chat model from mistral with a 262.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text.","text":"Mistral Medium 3.1 (mistral-medium-2508) is a chat model from mistral with a 262.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.4 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-05. Release date: 2025-08-12. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-medium-2508.html"}
{"id":"mistral-medium-2604","label":"Mistral Medium 3.5","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-04-29","pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-medium-2604","title":"Mistral Medium 3.5","abstract":"Mistral Medium 3.5 (mistral-medium-2604) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Mistral Medium 3.5 (mistral-medium-2604) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-04-29. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-medium-2604.html"}
{"id":"mistral-medium-latest","label":"Mistral Medium (latest)","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-medium-latest","title":"Mistral Medium (latest)","abstract":"Mistral Medium (latest) (mistral-medium-latest) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Mistral Medium (latest) (mistral-medium-latest) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-medium-latest.html"}
{"id":"mistral-small-2506","label":"Mistral Small 3.2","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-03","releaseDate":"2025-06-20","pricing":{"inputPer1M":0.1,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-small-2506","title":"Mistral Small 3.2","abstract":"Mistral Small 3.2 (mistral-small-2506) is a chat model from mistral with a 128K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Mistral Small 3.2 (mistral-small-2506) is a chat model from mistral with a 128K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: mistral. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.1 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2025-03. Release date: 2025-06-20. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-small-2506.html"}
{"id":"mistral-small-2603","label":"Mistral Small 4","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-06","releaseDate":"2026-03-16","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-small-2603","title":"Mistral Small 4","abstract":"Mistral Small 4 (mistral-small-2603) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Mistral Small 4 (mistral-small-2603) is a chat model from mistral with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-06. Release date: 2026-03-16. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-small-2603.html"}
{"id":"mistral-small-latest","label":"Mistral Small","kind":"CHAT","contextWindow":128000,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-06","pricing":{"inputPer1M":0.06,"outputPer1M":0.18,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-small-latest","title":"Mistral Small","abstract":"Mistral Small (mistral-small-latest) is a chat model from mistral with a 128K-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Mistral Small (mistral-small-latest) is a chat model from mistral with a 128K-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.06 in / $0.18 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-06. Sources: committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-small-latest.html"}
{"id":"open-mistral-nemo","label":"Mistral Nemo","kind":"CHAT","contextWindow":128000,"maxOutputTokens":128000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-07","releaseDate":"2024-07-01","pricing":{"inputPer1M":0.3,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/open-mistral-nemo","title":"Mistral Nemo","abstract":"Mistral Nemo (open-mistral-nemo) is a chat model from mistral with a 128K-token context window; open-weight; capabilities tools; input text; output text.","text":"Mistral Nemo (open-mistral-nemo) is a chat model from mistral with a 128K-token context window; open-weight; capabilities tools; input text; output text. Vendor: mistral. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.3 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-07. Release date: 2024-07-01. Sources: committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/open-mistral-nemo.html"}
{"id":"pixtral-12b","label":"Pixtral 12B","kind":"CHAT","contextWindow":128000,"maxOutputTokens":128000,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-09","releaseDate":"2024-09-01","pricing":{"inputPer1M":0.15,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/pixtral-12b","title":"Pixtral 12B","abstract":"Pixtral 12B (pixtral-12b) is a chat model from mistral with a 128K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Pixtral 12B (pixtral-12b) is a chat model from mistral with a 128K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: mistral. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.15 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-09. Release date: 2024-09-01. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/pixtral-12b.html"}
{"id":"voxtral-small-2507","label":"Voxtral Small","kind":"CHAT","contextWindow":32768,"maxOutputTokens":32768,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["audio","pdf","text"],"output":["text"]},"releaseDate":"2025-07-15","pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/voxtral-small-2507","title":"Voxtral Small","abstract":"Voxtral Small (voxtral-small-2507) is a chat model from mistral with a 32.8K-token context window; open-weight; capabilities tools; input audio, pdf, text; output text.","text":"Voxtral Small (voxtral-small-2507) is a chat model from mistral with a 32.8K-token context window; open-weight; capabilities tools; input audio, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, pdf, text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Release date: 2025-07-15. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/voxtral-small-2507.html"}
{"id":"voxtral-small-latest","label":"Voxtral Small (latest)","kind":"CHAT","contextWindow":32768,"maxOutputTokens":32768,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["audio","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/voxtral-small-latest","title":"Voxtral Small (latest)","abstract":"Voxtral Small (latest) (voxtral-small-latest) is a chat model from mistral with a 32.8K-token context window; open-weight; capabilities tools; input audio, pdf, text; output text.","text":"Voxtral Small (latest) (voxtral-small-latest) is a chat model from mistral with a 32.8K-token context window; open-weight; capabilities tools; input audio, pdf, text; output text. Vendor: mistral. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, pdf, text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/voxtral-small-latest.html"}
{"id":"zai-glm-5-2","label":"GLM-5.2","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-06-13","pricing":{"inputPer1M":1.4,"outputPer1M":4.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/zai-glm-5-2","title":"GLM-5.2","abstract":"GLM-5.2 (zai-glm-5-2) is a chat model from mistral with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-5.2 (zai-glm-5-2) is a chat model from mistral with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: mistral. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.4 in / $4.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-06-13. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/zai-glm-5-2.html"}
{"id":"zai-glm-5-3","label":"GLM-5.3","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-14","pricing":{"inputPer1M":1.4,"outputPer1M":4.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/zai-glm-5-3","title":"GLM-5.3","abstract":"GLM-5.3 (zai-glm-5-3) is a chat model from mistral with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-5.3 (zai-glm-5-3) is a chat model from mistral with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: mistral. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.4 in / $4.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-14. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/zai-glm-5-3.html"}
{"id":"zai-glm-5-3-flash","label":"GLM-5.3-Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-08-26","pricing":{"inputPer1M":0.15,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/zai-glm-5-3-flash","title":"GLM-5.3-Flash","abstract":"GLM-5.3-Flash (zai-glm-5-3-flash) is a chat model from mistral with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text, video; output text.","text":"GLM-5.3-Flash (zai-glm-5-3-flash) is a chat model from mistral with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text, video; output text. Vendor: mistral. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.15 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-08-26. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/zai-glm-5-3-flash.html"}
{"id":"mistral-embed","label":"Mistral Embed","kind":"EMBEDDING","contextWindow":8192,"embeddingDimensions":1024,"openWeights":false,"modalities":{"input":["text"],"output":["embedding"]},"releaseDate":"2023-12-11","pricing":{"inputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/mistral-embed","title":"Mistral Embed","abstract":"Mistral Embed (mistral-embed) is a embedding model from mistral with a 8.2K-token context window; proprietary (API-only); 1,024-dimensional embeddings; input text; output embedding.","text":"Mistral Embed (mistral-embed) is a embedding model from mistral with a 8.2K-token context window; proprietary (API-only); 1,024-dimensional embeddings; input text; output embedding. Vendor: mistral. Kind: EMBEDDING. Context window: 8,192 tokens. Embedding dimensions: 1,024. Indicative price (US list): $0.1 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Weights: Proprietary (API-only). Release date: 2023-12-11. Sources: committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/mistral-embed.html"}
{"id":"voxtral-mini-latest","label":"Voxtral Mini (latest)","kind":"TRANSCRIPTION","openWeights":false,"modalities":{"input":["audio","text"],"output":["text"]},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/voxtral-mini-latest","title":"Voxtral Mini (latest)","abstract":"Voxtral Mini (latest) (voxtral-mini-latest) is a transcription model from mistral; proprietary (API-only); input audio, text; output text.","text":"Voxtral Mini (latest) (voxtral-mini-latest) is a transcription model from mistral; proprietary (API-only); input audio, text; output text. Vendor: mistral. Kind: TRANSCRIPTION. Input modalities: audio, text. Output modalities: text. Weights: Proprietary (API-only). Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/voxtral-mini-latest.html"}
{"id":"voxtral-mini-tts-latest","label":"Voxtral Mini TTS (latest)","kind":"SPEECH","openWeights":true,"modalities":{"input":["text"],"output":["audio"]},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"mistral","ref":"mistral/voxtral-mini-tts-latest","title":"Voxtral Mini TTS (latest)","abstract":"Voxtral Mini TTS (latest) (voxtral-mini-tts-latest) is a speech model from mistral; open-weight; input text; output audio.","text":"Voxtral Mini TTS (latest) (voxtral-mini-tts-latest) is a speech model from mistral; open-weight; input text; output audio. Vendor: mistral. Kind: SPEECH. Input modalities: text. Output modalities: audio. Weights: Open-weight. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/mistral/voxtral-mini-tts-latest.html"}
{"id":"kimi-k2.6","label":"Kimi K2.6","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-04-20","pricing":{"inputPer1M":0.95,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":43.37,"latencyTtftSec":2.89,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"moonshot","ref":"moonshot/kimi-k2.6","title":"Kimi K2.6","abstract":"Kimi K2.6 (kimi-k2.6) is a chat model from moonshot with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Kimi K2.6 (kimi-k2.6) is a chat model from moonshot with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: moonshot. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.95 in / $4 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 43.37 tokens/s · 2.89s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-04-20. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/moonshot/kimi-k2.6.html"}
{"id":"kimi-k2.7-code","label":"Kimi K2.7 Code","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-06-12","pricing":{"inputPer1M":0.95,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":43.93,"latencyTtftSec":2.75,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"moonshot","ref":"moonshot/kimi-k2.7-code","title":"Kimi K2.7 Code","abstract":"Kimi K2.7 Code (kimi-k2.7-code) is a chat model from moonshot with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Kimi K2.7 Code (kimi-k2.7-code) is a chat model from moonshot with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: moonshot. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.95 in / $4 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 43.93 tokens/s · 2.75s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-06-12. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/moonshot/kimi-k2.7-code.html"}
{"id":"kimi-k2.7-code-highspeed","label":"Kimi K2.7 Code HighSpeed","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-06-12","pricing":{"inputPer1M":1.9,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"moonshot","ref":"moonshot/kimi-k2.7-code-highspeed","title":"Kimi K2.7 Code HighSpeed","abstract":"Kimi K2.7 Code HighSpeed (kimi-k2.7-code-highspeed) is a chat model from moonshot with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Kimi K2.7 Code HighSpeed (kimi-k2.7-code-highspeed) is a chat model from moonshot with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: moonshot. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $1.9 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-06-12. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/moonshot/kimi-k2.7-code-highspeed.html"}
{"id":"kimi-k3","label":"Kimi K3","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":1048576,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-07-16","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":46.41,"latencyTtftSec":3.81,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"moonshot","ref":"moonshot/kimi-k3","title":"Kimi K3","abstract":"Kimi K3 (kimi-k3) is a chat model from moonshot with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Kimi K3 (kimi-k3) is a chat model from moonshot with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: moonshot. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 1,048,576 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 46.41 tokens/s · 3.81s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-07-16. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/moonshot/kimi-k3.html"}
{"id":"kimi-k3.1-pro","label":"Kimi K3.1 Pro","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":1048576,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-10-23","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":46.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":27.53,"latencyTtftSec":3.23,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"moonshot","ref":"moonshot/kimi-k3.1-pro","title":"Kimi K3.1 Pro","abstract":"Kimi K3.1 Pro (kimi-k3.1-pro) is a chat model from moonshot with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Kimi K3.1 Pro (kimi-k3.1-pro) is a chat model from moonshot with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: moonshot. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 1,048,576 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 46.5 (cited from Artificial Analysis — verify at the source). Cited speed: 27.53 tokens/s · 3.23s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-10-23. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/moonshot/kimi-k3.1-pro.html"}
{"id":"kimi-k3.1-pro-highspeed","label":"Kimi K3.1 Pro Highspeed","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":1048576,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-10-23","pricing":{"inputPer1M":4,"outputPer1M":20,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"moonshot","ref":"moonshot/kimi-k3.1-pro-highspeed","title":"Kimi K3.1 Pro Highspeed","abstract":"Kimi K3.1 Pro Highspeed (kimi-k3.1-pro-highspeed) is a chat model from moonshot with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Kimi K3.1 Pro Highspeed (kimi-k3.1-pro-highspeed) is a chat model from moonshot with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: moonshot. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 1,048,576 tokens. Indicative price (US list): $4 in / $20 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-10-23. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/moonshot/kimi-k3.1-pro-highspeed.html"}
{"id":"alfred","label":"alfred","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/alfred","title":"alfred","abstract":"alfred (alfred) is a chat model from ollama; open-weight; input text.","text":"alfred (alfred) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/alfred.html"}
{"id":"athene-v2","label":"athene-v2","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/athene-v2","title":"athene-v2","abstract":"athene-v2 (athene-v2) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"athene-v2 (athene-v2) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/athene-v2.html"}
{"id":"autotrust-jev","label":"autotrust-jev","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/autotrust-jev","title":"autotrust-jev","abstract":"autotrust-jev (autotrust-jev) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"autotrust-jev (autotrust-jev) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/autotrust-jev.html"}
{"id":"aya","label":"aya","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/aya","title":"aya","abstract":"aya (aya) is a chat model from ollama; open-weight; input text.","text":"aya (aya) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/aya.html"}
{"id":"aya-expanse","label":"aya-expanse","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/aya-expanse","title":"aya-expanse","abstract":"aya-expanse (aya-expanse) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"aya-expanse (aya-expanse) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/aya-expanse.html"}
{"id":"bakllava","label":"bakllava","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/bakllava","title":"bakllava","abstract":"bakllava (bakllava) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"bakllava (bakllava) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/bakllava.html"}
{"id":"beam","label":"beam","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/beam","title":"beam","abstract":"beam (beam) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"beam (beam) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/beam.html"}
{"id":"bespoke-minicheck","label":"bespoke-minicheck","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/bespoke-minicheck","title":"bespoke-minicheck","abstract":"bespoke-minicheck (bespoke-minicheck) is a chat model from ollama; open-weight; input text.","text":"bespoke-minicheck (bespoke-minicheck) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/bespoke-minicheck.html"}
{"id":"bonsai-2","label":"bonsai-2","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/bonsai-2","title":"bonsai-2","abstract":"bonsai-2 (bonsai-2) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"bonsai-2 (bonsai-2) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/bonsai-2.html"}
{"id":"clef","label":"clef","kind":"CHAT","capabilities":["vision"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/clef","title":"clef","abstract":"clef (clef) is a chat model from ollama; capabilities vision; input image, text.","text":"clef (clef) is a chat model from ollama; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/clef.html"}
{"id":"clef-flash","label":"clef-flash","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/clef-flash","title":"clef-flash","abstract":"clef-flash (clef-flash) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"clef-flash (clef-flash) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/clef-flash.html"}
{"id":"codebooga","label":"codebooga","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/codebooga","title":"codebooga","abstract":"codebooga (codebooga) is a chat model from ollama; open-weight; input text.","text":"codebooga (codebooga) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/codebooga.html"}
{"id":"codegeex4","label":"codegeex4","kind":"CHAT","contextWindow":32768,"maxOutputTokens":8192,"openWeights":true,"modalities":{"input":["text"]},"sources":["litellm","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/codegeex4","title":"codegeex4","abstract":"codegeex4 (codegeex4) is a chat model from ollama with a 32.8K-token context window; open-weight; input text.","text":"codegeex4 (codegeex4) is a chat model from ollama with a 32.8K-token context window; open-weight; input text. Vendor: ollama. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 8,192 tokens. Input modalities: text. Weights: Open-weight. Sources: litellm, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/codegeex4.html"}
{"id":"codegemma","label":"codegemma","kind":"CHAT","contextWindow":8192,"maxOutputTokens":8192,"openWeights":true,"modalities":{"input":["text"]},"sources":["litellm","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/codegemma","title":"codegemma","abstract":"codegemma (codegemma) is a chat model from ollama with a 8.2K-token context window; open-weight; input text.","text":"codegemma (codegemma) is a chat model from ollama with a 8.2K-token context window; open-weight; input text. Vendor: ollama. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 8,192 tokens. Input modalities: text. Weights: Open-weight. Sources: litellm, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/codegemma.html"}
{"id":"codellama","label":"codellama","kind":"CHAT","contextWindow":4096,"maxOutputTokens":4096,"openWeights":true,"modalities":{"input":["text"]},"sources":["litellm","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/codellama","title":"codellama","abstract":"codellama (codellama) is a chat model from ollama with a 4.1K-token context window; open-weight; input text.","text":"codellama (codellama) is a chat model from ollama with a 4.1K-token context window; open-weight; input text. Vendor: ollama. Kind: CHAT. Context window: 4,096 tokens. Max output tokens: 4,096 tokens. Input modalities: text. Weights: Open-weight. Sources: litellm, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/codellama.html"}
{"id":"codeqwen","label":"codeqwen","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/codeqwen","title":"codeqwen","abstract":"codeqwen (codeqwen) is a chat model from ollama; open-weight; input text.","text":"codeqwen (codeqwen) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/codeqwen.html"}
{"id":"codestral","label":"codestral","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/codestral","title":"codestral","abstract":"codestral (codestral) is a chat model from ollama; open-weight; input text.","text":"codestral (codestral) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/codestral.html"}
{"id":"codeup","label":"codeup","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/codeup","title":"codeup","abstract":"codeup (codeup) is a chat model from ollama; open-weight; input text.","text":"codeup (codeup) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/codeup.html"}
{"id":"cogito","label":"cogito","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/cogito","title":"cogito","abstract":"cogito (cogito) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"cogito (cogito) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/cogito.html"}
{"id":"cogito-2.1","label":"cogito-2.1","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/cogito-2.1","title":"cogito-2.1","abstract":"cogito-2.1 (cogito-2.1) is a chat model from ollama; open-weight; input text.","text":"cogito-2.1 (cogito-2.1) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/cogito-2.1.html"}
{"id":"command-a","label":"command-a","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/command-a","title":"command-a","abstract":"command-a (command-a) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"command-a (command-a) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/command-a.html"}
{"id":"command-r","label":"command-r","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/command-r","title":"command-r","abstract":"command-r (command-r) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"command-r (command-r) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/command-r.html"}
{"id":"command-r-plus","label":"command-r-plus","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/command-r-plus","title":"command-r-plus","abstract":"command-r-plus (command-r-plus) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"command-r-plus (command-r-plus) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/command-r-plus.html"}
{"id":"command-r7b","label":"command-r7b","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/command-r7b","title":"command-r7b","abstract":"command-r7b (command-r7b) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"command-r7b (command-r7b) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/command-r7b.html"}
{"id":"command-r7b-arabic","label":"command-r7b-arabic","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/command-r7b-arabic","title":"command-r7b-arabic","abstract":"command-r7b-arabic (command-r7b-arabic) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"command-r7b-arabic (command-r7b-arabic) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/command-r7b-arabic.html"}
{"id":"d1","label":"d1","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/d1","title":"d1","abstract":"d1 (d1) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"d1 (d1) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/d1.html"}
{"id":"d1-omni","label":"d1-omni","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["audio","image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/d1-omni","title":"d1-omni","abstract":"d1-omni (d1-omni) is a chat model from ollama; open-weight; capabilities vision; input audio, image, text.","text":"d1-omni (d1-omni) is a chat model from ollama; open-weight; capabilities vision; input audio, image, text. Vendor: ollama. Kind: CHAT. Input modalities: audio, image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/d1-omni.html"}
{"id":"d3","label":"d3","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/d3","title":"d3","abstract":"d3 (d3) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"d3 (d3) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/d3.html"}
{"id":"dbrx","label":"dbrx","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"benchmarks":{"intelligenceIndex":5.3,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/dbrx","title":"dbrx","abstract":"dbrx (dbrx) is a chat model from ollama; open-weight; input text.","text":"dbrx (dbrx) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 5.3 (cited from Artificial Analysis — verify at the source). Input modalities: text. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/dbrx.html"}
{"id":"deepcoder","label":"deepcoder","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepcoder","title":"deepcoder","abstract":"deepcoder (deepcoder) is a chat model from ollama; open-weight; input text.","text":"deepcoder (deepcoder) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepcoder.html"}
{"id":"deepscaler","label":"deepscaler","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepscaler","title":"deepscaler","abstract":"deepscaler (deepscaler) is a chat model from ollama; open-weight; input text.","text":"deepscaler (deepscaler) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepscaler.html"}
{"id":"deepseek-coder","label":"deepseek-coder","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-coder","title":"deepseek-coder","abstract":"deepseek-coder (deepseek-coder) is a chat model from ollama; open-weight; input text.","text":"deepseek-coder (deepseek-coder) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-coder.html"}
{"id":"deepseek-coder-v2","label":"deepseek-coder-v2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"benchmarks":{"intelligenceIndex":6,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-coder-v2","title":"deepseek-coder-v2","abstract":"deepseek-coder-v2 (deepseek-coder-v2) is a chat model from ollama; open-weight; input text.","text":"deepseek-coder-v2 (deepseek-coder-v2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 6 (cited from Artificial Analysis — verify at the source). Input modalities: text. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-coder-v2.html"}
{"id":"deepseek-llm","label":"deepseek-llm","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-llm","title":"deepseek-llm","abstract":"deepseek-llm (deepseek-llm) is a chat model from ollama; open-weight; input text.","text":"deepseek-llm (deepseek-llm) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-llm.html"}
{"id":"deepseek-ocr","label":"deepseek-ocr","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-ocr","title":"deepseek-ocr","abstract":"deepseek-ocr (deepseek-ocr) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"deepseek-ocr (deepseek-ocr) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-ocr.html"}
{"id":"deepseek-r1","label":"deepseek-r1","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-r1","title":"deepseek-r1","abstract":"deepseek-r1 (deepseek-r1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"deepseek-r1 (deepseek-r1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-r1.html"}
{"id":"deepseek-v2","label":"deepseek-v2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"benchmarks":{"intelligenceIndex":5.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-v2","title":"deepseek-v2","abstract":"deepseek-v2 (deepseek-v2) is a chat model from ollama; open-weight; input text.","text":"deepseek-v2 (deepseek-v2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 5.5 (cited from Artificial Analysis — verify at the source). Input modalities: text. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-v2.html"}
{"id":"deepseek-v2.5","label":"deepseek-v2.5","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"benchmarks":{"intelligenceIndex":6.6,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-v2.5","title":"deepseek-v2.5","abstract":"deepseek-v2.5 (deepseek-v2.5) is a chat model from ollama; open-weight; input text.","text":"deepseek-v2.5 (deepseek-v2.5) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 6.6 (cited from Artificial Analysis — verify at the source). Input modalities: text. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-v2.5.html"}
{"id":"deepseek-v3","label":"deepseek-v3","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-v3","title":"deepseek-v3","abstract":"deepseek-v3 (deepseek-v3) is a chat model from ollama; open-weight; input text.","text":"deepseek-v3 (deepseek-v3) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-v3.html"}
{"id":"deepseek-v3.1","label":"deepseek-v3.1","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"benchmarks":{"intelligenceIndex":13.7,"scores":{"math":{"value":49.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":96.14,"latencyTtftSec":1.32,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-v3.1","title":"deepseek-v3.1","abstract":"deepseek-v3.1 (deepseek-v3.1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"deepseek-v3.1 (deepseek-v3.1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 13.7 · math 49.7 (cited from Artificial Analysis — verify at the source). Cited speed: 96.14 tokens/s · 1.32s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: artificial-analysis, committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-v3.1.html"}
{"id":"deepseek-v4-flash","label":"deepseek-v4-flash","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["committed"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-v4-flash","title":"deepseek-v4-flash","abstract":"deepseek-v4-flash (deepseek-v4-flash) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"deepseek-v4-flash (deepseek-v4-flash) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-v4-flash.html"}
{"id":"deepseek-v4-pro","label":"deepseek-v4-pro","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-v4-pro","title":"deepseek-v4-pro","abstract":"deepseek-v4-pro (deepseek-v4-pro) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"deepseek-v4-pro (deepseek-v4-pro) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-v4-pro.html"}
{"id":"deepseek-v4.1-flash","label":"deepseek-v4.1-flash","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/deepseek-v4.1-flash","title":"deepseek-v4.1-flash","abstract":"deepseek-v4.1-flash (deepseek-v4.1-flash) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"deepseek-v4.1-flash (deepseek-v4.1-flash) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/deepseek-v4.1-flash.html"}
{"id":"devstral","label":"devstral","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/devstral","title":"devstral","abstract":"devstral (devstral) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"devstral (devstral) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/devstral.html"}
{"id":"devstral-2","label":"devstral-2","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"benchmarks":{"intelligenceIndex":8.6,"scores":{"coding":{"value":31.3},"math":{"value":36.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":58.329,"latencyTtftSec":0.781,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/devstral-2","title":"devstral-2","abstract":"devstral-2 (devstral-2) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"devstral-2 (devstral-2) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 8.6 · coding 31.3 · math 36.7 (cited from Artificial Analysis — verify at the source). Cited speed: 58.329 tokens/s · 0.781s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/devstral-2.html"}
{"id":"devstral-small-2","label":"devstral-small-2","kind":"CHAT","capabilities":["vision","tools"],"openWeights":true,"modalities":{"input":["image","text"]},"benchmarks":{"intelligenceIndex":7.5,"scores":{"coding":{"value":29.3},"math":{"value":34.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":30.239,"latencyTtftSec":0.654,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/devstral-small-2","title":"devstral-small-2","abstract":"devstral-small-2 (devstral-small-2) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text.","text":"devstral-small-2 (devstral-small-2) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 7.5 · coding 29.3 · math 34.3 (cited from Artificial Analysis — verify at the source). Cited speed: 30.239 tokens/s · 0.654s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Capabilities: vision, tools. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/devstral-small-2.html"}
{"id":"dolphin-llama3","label":"dolphin-llama3","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/dolphin-llama3","title":"dolphin-llama3","abstract":"dolphin-llama3 (dolphin-llama3) is a chat model from ollama; open-weight; input text.","text":"dolphin-llama3 (dolphin-llama3) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/dolphin-llama3.html"}
{"id":"dolphin-mistral","label":"dolphin-mistral","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/dolphin-mistral","title":"dolphin-mistral","abstract":"dolphin-mistral (dolphin-mistral) is a chat model from ollama; open-weight; input text.","text":"dolphin-mistral (dolphin-mistral) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/dolphin-mistral.html"}
{"id":"dolphin-mixtral","label":"dolphin-mixtral","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/dolphin-mixtral","title":"dolphin-mixtral","abstract":"dolphin-mixtral (dolphin-mixtral) is a chat model from ollama; open-weight; input text.","text":"dolphin-mixtral (dolphin-mixtral) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/dolphin-mixtral.html"}
{"id":"dolphin-phi","label":"dolphin-phi","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/dolphin-phi","title":"dolphin-phi","abstract":"dolphin-phi (dolphin-phi) is a chat model from ollama; open-weight; input text.","text":"dolphin-phi (dolphin-phi) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/dolphin-phi.html"}
{"id":"dolphin3","label":"dolphin3","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/dolphin3","title":"dolphin3","abstract":"dolphin3 (dolphin3) is a chat model from ollama; open-weight; input text.","text":"dolphin3 (dolphin3) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/dolphin3.html"}
{"id":"dolphincoder","label":"dolphincoder","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/dolphincoder","title":"dolphincoder","abstract":"dolphincoder (dolphincoder) is a chat model from ollama; open-weight; input text.","text":"dolphincoder (dolphincoder) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/dolphincoder.html"}
{"id":"duckdb-nsql","label":"duckdb-nsql","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/duckdb-nsql","title":"duckdb-nsql","abstract":"duckdb-nsql (duckdb-nsql) is a chat model from ollama; open-weight; input text.","text":"duckdb-nsql (duckdb-nsql) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/duckdb-nsql.html"}
{"id":"everythinglm","label":"everythinglm","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/everythinglm","title":"everythinglm","abstract":"everythinglm (everythinglm) is a chat model from ollama; open-weight; input text.","text":"everythinglm (everythinglm) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/everythinglm.html"}
{"id":"exaone-deep","label":"exaone-deep","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/exaone-deep","title":"exaone-deep","abstract":"exaone-deep (exaone-deep) is a chat model from ollama; open-weight; input text.","text":"exaone-deep (exaone-deep) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/exaone-deep.html"}
{"id":"exaone3.5","label":"exaone3.5","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/exaone3.5","title":"exaone3.5","abstract":"exaone3.5 (exaone3.5) is a chat model from ollama; open-weight; input text.","text":"exaone3.5 (exaone3.5) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/exaone3.5.html"}
{"id":"falcon","label":"falcon","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/falcon","title":"falcon","abstract":"falcon (falcon) is a chat model from ollama; open-weight; input text.","text":"falcon (falcon) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/falcon.html"}
{"id":"falcon2","label":"falcon2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/falcon2","title":"falcon2","abstract":"falcon2 (falcon2) is a chat model from ollama; open-weight; input text.","text":"falcon2 (falcon2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/falcon2.html"}
{"id":"falcon3","label":"falcon3","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/falcon3","title":"falcon3","abstract":"falcon3 (falcon3) is a chat model from ollama; open-weight; input text.","text":"falcon3 (falcon3) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/falcon3.html"}
{"id":"firefunction-v2","label":"firefunction-v2","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/firefunction-v2","title":"firefunction-v2","abstract":"firefunction-v2 (firefunction-v2) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"firefunction-v2 (firefunction-v2) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/firefunction-v2.html"}
{"id":"flint","label":"flint","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/flint","title":"flint","abstract":"flint (flint) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"flint (flint) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/flint.html"}
{"id":"functiongemma","label":"functiongemma","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/functiongemma","title":"functiongemma","abstract":"functiongemma (functiongemma) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"functiongemma (functiongemma) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/functiongemma.html"}
{"id":"gemini-3-flash-preview","label":"gemini-3-flash-preview","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["committed"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/gemini-3-flash-preview","title":"gemini-3-flash-preview","abstract":"gemini-3-flash-preview (gemini-3-flash-preview) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"gemini-3-flash-preview (gemini-3-flash-preview) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/gemini-3-flash-preview.html"}
{"id":"gemma","label":"gemma","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/gemma","title":"gemma","abstract":"gemma (gemma) is a chat model from ollama; open-weight; input text.","text":"gemma (gemma) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/gemma.html"}
{"id":"gemma2","label":"Gemma 2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/gemma2","title":"Gemma 2","abstract":"Gemma 2 (gemma2) is a chat model from ollama; open-weight; input text.","text":"Gemma 2 (gemma2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/gemma2.html"}
{"id":"gemma3","label":"gemma3","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/gemma3","title":"gemma3","abstract":"gemma3 (gemma3) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"gemma3 (gemma3) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/gemma3.html"}
{"id":"gemma3n","label":"gemma3n","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/gemma3n","title":"gemma3n","abstract":"gemma3n (gemma3n) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"gemma3n (gemma3n) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/gemma3n.html"}
{"id":"gemma4","label":"gemma4","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["audio","image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/gemma4","title":"gemma4","abstract":"gemma4 (gemma4) is a chat model from ollama; capabilities vision, tools, reasoning; input audio, image, text.","text":"gemma4 (gemma4) is a chat model from ollama; capabilities vision, tools, reasoning; input audio, image, text. Vendor: ollama. Kind: CHAT. Input modalities: audio, image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/gemma4.html"}
{"id":"glm-4.7-flash","label":"glm-4.7-flash","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/glm-4.7-flash","title":"glm-4.7-flash","abstract":"glm-4.7-flash (glm-4.7-flash) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"glm-4.7-flash (glm-4.7-flash) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/glm-4.7-flash.html"}
{"id":"glm-5.1","label":"glm-5.1","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["committed"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/glm-5.1","title":"glm-5.1","abstract":"glm-5.1 (glm-5.1) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"glm-5.1 (glm-5.1) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/glm-5.1.html"}
{"id":"glm-5.2","label":"glm-5.2","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/glm-5.2","title":"glm-5.2","abstract":"glm-5.2 (glm-5.2) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"glm-5.2 (glm-5.2) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/glm-5.2.html"}
{"id":"glm-5.3","label":"glm-5.3","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/glm-5.3","title":"glm-5.3","abstract":"glm-5.3 (glm-5.3) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"glm-5.3 (glm-5.3) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/glm-5.3.html"}
{"id":"glm-5.3-flash","label":"glm-5.3-flash","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/glm-5.3-flash","title":"glm-5.3-flash","abstract":"glm-5.3-flash (glm-5.3-flash) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"glm-5.3-flash (glm-5.3-flash) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/glm-5.3-flash.html"}
{"id":"glm-ocr","label":"glm-ocr","kind":"CHAT","capabilities":["vision","tools"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/glm-ocr","title":"glm-ocr","abstract":"glm-ocr (glm-ocr) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text.","text":"glm-ocr (glm-ocr) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/glm-ocr.html"}
{"id":"glm4","label":"glm4","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/glm4","title":"glm4","abstract":"glm4 (glm4) is a chat model from ollama; open-weight; input text.","text":"glm4 (glm4) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/glm4.html"}
{"id":"goliath","label":"goliath","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/goliath","title":"goliath","abstract":"goliath (goliath) is a chat model from ollama; open-weight; input text.","text":"goliath (goliath) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/goliath.html"}
{"id":"gpt-oss","label":"gpt-oss","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/gpt-oss","title":"gpt-oss","abstract":"gpt-oss (gpt-oss) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"gpt-oss (gpt-oss) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/gpt-oss.html"}
{"id":"gpt-oss-safeguard","label":"gpt-oss-safeguard","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/gpt-oss-safeguard","title":"gpt-oss-safeguard","abstract":"gpt-oss-safeguard (gpt-oss-safeguard) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"gpt-oss-safeguard (gpt-oss-safeguard) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/gpt-oss-safeguard.html"}
{"id":"granite-code","label":"granite-code","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite-code","title":"granite-code","abstract":"granite-code (granite-code) is a chat model from ollama; open-weight; input text.","text":"granite-code (granite-code) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite-code.html"}
{"id":"granite3-dense","label":"granite3-dense","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite3-dense","title":"granite3-dense","abstract":"granite3-dense (granite3-dense) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"granite3-dense (granite3-dense) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite3-dense.html"}
{"id":"granite3-guardian","label":"granite3-guardian","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite3-guardian","title":"granite3-guardian","abstract":"granite3-guardian (granite3-guardian) is a chat model from ollama; open-weight; input text.","text":"granite3-guardian (granite3-guardian) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite3-guardian.html"}
{"id":"granite3-moe","label":"granite3-moe","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite3-moe","title":"granite3-moe","abstract":"granite3-moe (granite3-moe) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"granite3-moe (granite3-moe) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite3-moe.html"}
{"id":"granite3.1-dense","label":"granite3.1-dense","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite3.1-dense","title":"granite3.1-dense","abstract":"granite3.1-dense (granite3.1-dense) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"granite3.1-dense (granite3.1-dense) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite3.1-dense.html"}
{"id":"granite3.1-moe","label":"granite3.1-moe","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite3.1-moe","title":"granite3.1-moe","abstract":"granite3.1-moe (granite3.1-moe) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"granite3.1-moe (granite3.1-moe) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite3.1-moe.html"}
{"id":"granite3.2","label":"granite3.2","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite3.2","title":"granite3.2","abstract":"granite3.2 (granite3.2) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"granite3.2 (granite3.2) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite3.2.html"}
{"id":"granite3.2-vision","label":"granite3.2-vision","kind":"CHAT","capabilities":["vision","tools"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite3.2-vision","title":"granite3.2-vision","abstract":"granite3.2-vision (granite3.2-vision) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text.","text":"granite3.2-vision (granite3.2-vision) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite3.2-vision.html"}
{"id":"granite3.3","label":"granite3.3","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite3.3","title":"granite3.3","abstract":"granite3.3 (granite3.3) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"granite3.3 (granite3.3) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite3.3.html"}
{"id":"granite4","label":"granite4","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite4","title":"granite4","abstract":"granite4 (granite4) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"granite4 (granite4) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite4.html"}
{"id":"granite4.1","label":"granite4.1","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite4.1","title":"granite4.1","abstract":"granite4.1 (granite4.1) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"granite4.1 (granite4.1) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite4.1.html"}
{"id":"granite4.1-guardian","label":"granite4.1-guardian","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite4.1-guardian","title":"granite4.1-guardian","abstract":"granite4.1-guardian (granite4.1-guardian) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"granite4.1-guardian (granite4.1-guardian) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite4.1-guardian.html"}
{"id":"granite4.2","label":"granite4.2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite4.2","title":"granite4.2","abstract":"granite4.2 (granite4.2) is a chat model from ollama; open-weight; input text.","text":"granite4.2 (granite4.2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite4.2.html"}
{"id":"hermes3","label":"hermes3","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/hermes3","title":"hermes3","abstract":"hermes3 (hermes3) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"hermes3 (hermes3) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/hermes3.html"}
{"id":"internlm2","label":"internlm2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/internlm2","title":"internlm2","abstract":"internlm2 (internlm2) is a chat model from ollama; open-weight; input text.","text":"internlm2 (internlm2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/internlm2.html"}
{"id":"kev","label":"kev","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/kev","title":"kev","abstract":"kev (kev) is a chat model from ollama; open-weight; input text.","text":"kev (kev) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/kev.html"}
{"id":"kimi-k2.5","label":"kimi-k2.5","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["committed"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/kimi-k2.5","title":"kimi-k2.5","abstract":"kimi-k2.5 (kimi-k2.5) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"kimi-k2.5 (kimi-k2.5) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/kimi-k2.5.html"}
{"id":"kimi-k2.6","label":"kimi-k2.6","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/kimi-k2.6","title":"kimi-k2.6","abstract":"kimi-k2.6 (kimi-k2.6) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"kimi-k2.6 (kimi-k2.6) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/kimi-k2.6.html"}
{"id":"kimi-k2.7-code","label":"kimi-k2.7-code","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/kimi-k2.7-code","title":"kimi-k2.7-code","abstract":"kimi-k2.7-code (kimi-k2.7-code) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"kimi-k2.7-code (kimi-k2.7-code) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/kimi-k2.7-code.html"}
{"id":"kimi-k3","label":"kimi-k3","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/kimi-k3","title":"kimi-k3","abstract":"kimi-k3 (kimi-k3) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"kimi-k3 (kimi-k3) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/kimi-k3.html"}
{"id":"kimi-k3.1-pro","label":"kimi-k3.1-pro","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/kimi-k3.1-pro","title":"kimi-k3.1-pro","abstract":"kimi-k3.1-pro (kimi-k3.1-pro) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"kimi-k3.1-pro (kimi-k3.1-pro) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/kimi-k3.1-pro.html"}
{"id":"laguna-s-2.1","label":"laguna-s-2.1","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/laguna-s-2.1","title":"laguna-s-2.1","abstract":"laguna-s-2.1 (laguna-s-2.1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"laguna-s-2.1 (laguna-s-2.1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/laguna-s-2.1.html"}
{"id":"laguna-xs-2.1","label":"laguna-xs-2.1","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/laguna-xs-2.1","title":"laguna-xs-2.1","abstract":"laguna-xs-2.1 (laguna-xs-2.1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"laguna-xs-2.1 (laguna-xs-2.1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/laguna-xs-2.1.html"}
{"id":"laguna-xs.2","label":"laguna-xs.2","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/laguna-xs.2","title":"laguna-xs.2","abstract":"laguna-xs.2 (laguna-xs.2) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"laguna-xs.2 (laguna-xs.2) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/laguna-xs.2.html"}
{"id":"lfm2","label":"lfm2","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/lfm2","title":"lfm2","abstract":"lfm2 (lfm2) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"lfm2 (lfm2) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/lfm2.html"}
{"id":"lfm2.5","label":"lfm2.5","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/lfm2.5","title":"lfm2.5","abstract":"lfm2.5 (lfm2.5) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"lfm2.5 (lfm2.5) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/lfm2.5.html"}
{"id":"lfm2.5-thinking","label":"lfm2.5-thinking","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/lfm2.5-thinking","title":"lfm2.5-thinking","abstract":"lfm2.5-thinking (lfm2.5-thinking) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"lfm2.5-thinking (lfm2.5-thinking) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/lfm2.5-thinking.html"}
{"id":"lfm3","label":"lfm3","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/lfm3","title":"lfm3","abstract":"lfm3 (lfm3) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"lfm3 (lfm3) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/lfm3.html"}
{"id":"lfm3-audio","label":"lfm3-audio","kind":"CHAT","capabilities":["vision","tools"],"openWeights":true,"modalities":{"input":["audio","image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/lfm3-audio","title":"lfm3-audio","abstract":"lfm3-audio (lfm3-audio) is a chat model from ollama; open-weight; capabilities vision, tools; input audio, image, text.","text":"lfm3-audio (lfm3-audio) is a chat model from ollama; open-weight; capabilities vision, tools; input audio, image, text. Vendor: ollama. Kind: CHAT. Input modalities: audio, image, text. Capabilities: vision, tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/lfm3-audio.html"}
{"id":"lfm3-omni","label":"lfm3-omni","kind":"CHAT","capabilities":["vision","tools"],"openWeights":true,"modalities":{"input":["audio","image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/lfm3-omni","title":"lfm3-omni","abstract":"lfm3-omni (lfm3-omni) is a chat model from ollama; open-weight; capabilities vision, tools; input audio, image, text.","text":"lfm3-omni (lfm3-omni) is a chat model from ollama; open-weight; capabilities vision, tools; input audio, image, text. Vendor: ollama. Kind: CHAT. Input modalities: audio, image, text. Capabilities: vision, tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/lfm3-omni.html"}
{"id":"lfm3-vl","label":"lfm3-vl","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/lfm3-vl","title":"lfm3-vl","abstract":"lfm3-vl (lfm3-vl) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"lfm3-vl (lfm3-vl) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/lfm3-vl.html"}
{"id":"llama-guard3","label":"llama-guard3","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama-guard3","title":"llama-guard3","abstract":"llama-guard3 (llama-guard3) is a chat model from ollama; open-weight; input text.","text":"llama-guard3 (llama-guard3) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama-guard3.html"}
{"id":"llama-pro","label":"llama-pro","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama-pro","title":"llama-pro","abstract":"llama-pro (llama-pro) is a chat model from ollama; open-weight; input text.","text":"llama-pro (llama-pro) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama-pro.html"}
{"id":"llama2","label":"llama2","kind":"CHAT","contextWindow":4096,"maxOutputTokens":4096,"openWeights":true,"modalities":{"input":["text"]},"sources":["litellm","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama2","title":"llama2","abstract":"llama2 (llama2) is a chat model from ollama with a 4.1K-token context window; open-weight; input text.","text":"llama2 (llama2) is a chat model from ollama with a 4.1K-token context window; open-weight; input text. Vendor: ollama. Kind: CHAT. Context window: 4,096 tokens. Max output tokens: 4,096 tokens. Input modalities: text. Weights: Open-weight. Sources: litellm, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama2.html"}
{"id":"llama2-chinese","label":"llama2-chinese","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama2-chinese","title":"llama2-chinese","abstract":"llama2-chinese (llama2-chinese) is a chat model from ollama; open-weight; input text.","text":"llama2-chinese (llama2-chinese) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama2-chinese.html"}
{"id":"llama2-uncensored","label":"llama2-uncensored","kind":"CHAT","contextWindow":4096,"maxOutputTokens":4096,"openWeights":true,"modalities":{"input":["text"]},"sources":["litellm","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama2-uncensored","title":"llama2-uncensored","abstract":"llama2-uncensored (llama2-uncensored) is a chat model from ollama with a 4.1K-token context window; open-weight; input text.","text":"llama2-uncensored (llama2-uncensored) is a chat model from ollama with a 4.1K-token context window; open-weight; input text. Vendor: ollama. Kind: CHAT. Context window: 4,096 tokens. Max output tokens: 4,096 tokens. Input modalities: text. Weights: Open-weight. Sources: litellm, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama2-uncensored.html"}
{"id":"llama3","label":"llama3","kind":"CHAT","contextWindow":8192,"maxOutputTokens":8192,"openWeights":true,"modalities":{"input":["text"]},"sources":["litellm","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama3","title":"llama3","abstract":"llama3 (llama3) is a chat model from ollama with a 8.2K-token context window; open-weight; input text.","text":"llama3 (llama3) is a chat model from ollama with a 8.2K-token context window; open-weight; input text. Vendor: ollama. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 8,192 tokens. Input modalities: text. Weights: Open-weight. Sources: litellm, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama3.html"}
{"id":"llama3-chatqa","label":"llama3-chatqa","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama3-chatqa","title":"llama3-chatqa","abstract":"llama3-chatqa (llama3-chatqa) is a chat model from ollama; open-weight; input text.","text":"llama3-chatqa (llama3-chatqa) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama3-chatqa.html"}
{"id":"llama3-gradient","label":"llama3-gradient","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama3-gradient","title":"llama3-gradient","abstract":"llama3-gradient (llama3-gradient) is a chat model from ollama; open-weight; input text.","text":"llama3-gradient (llama3-gradient) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama3-gradient.html"}
{"id":"llama3-groq-tool-use","label":"llama3-groq-tool-use","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama3-groq-tool-use","title":"llama3-groq-tool-use","abstract":"llama3-groq-tool-use (llama3-groq-tool-use) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"llama3-groq-tool-use (llama3-groq-tool-use) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama3-groq-tool-use.html"}
{"id":"llama3.1","label":"Llama 3.1","kind":"CHAT","contextWindow":8192,"maxOutputTokens":8192,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["committed","litellm","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama3.1","title":"Llama 3.1","abstract":"Llama 3.1 (llama3.1) is a chat model from ollama with a 8.2K-token context window; open-weight; capabilities tools; input text.","text":"Llama 3.1 (llama3.1) is a chat model from ollama with a 8.2K-token context window; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 8,192 tokens. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: committed, litellm, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama3.1.html"}
{"id":"llama3.2","label":"Llama 3.2","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama3.2","title":"Llama 3.2","abstract":"Llama 3.2 (llama3.2) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"Llama 3.2 (llama3.2) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama3.2.html"}
{"id":"llama3.2-vision","label":"llama3.2-vision","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama3.2-vision","title":"llama3.2-vision","abstract":"llama3.2-vision (llama3.2-vision) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"llama3.2-vision (llama3.2-vision) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama3.2-vision.html"}
{"id":"llama3.3","label":"llama3.3","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama3.3","title":"llama3.3","abstract":"llama3.3 (llama3.3) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"llama3.3 (llama3.3) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama3.3.html"}
{"id":"llama4","label":"llama4","kind":"CHAT","capabilities":["vision","tools"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llama4","title":"llama4","abstract":"llama4 (llama4) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text.","text":"llama4 (llama4) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llama4.html"}
{"id":"llava","label":"llava","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llava","title":"llava","abstract":"llava (llava) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"llava (llava) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llava.html"}
{"id":"llava-llama3","label":"llava-llama3","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llava-llama3","title":"llava-llama3","abstract":"llava-llama3 (llava-llama3) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"llava-llama3 (llava-llama3) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llava-llama3.html"}
{"id":"llava-phi3","label":"llava-phi3","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/llava-phi3","title":"llava-phi3","abstract":"llava-phi3 (llava-phi3) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"llava-phi3 (llava-phi3) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/llava-phi3.html"}
{"id":"magicoder","label":"magicoder","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/magicoder","title":"magicoder","abstract":"magicoder (magicoder) is a chat model from ollama; open-weight; input text.","text":"magicoder (magicoder) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/magicoder.html"}
{"id":"magistral","label":"magistral","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/magistral","title":"magistral","abstract":"magistral (magistral) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"magistral (magistral) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/magistral.html"}
{"id":"marco-o1","label":"marco-o1","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/marco-o1","title":"marco-o1","abstract":"marco-o1 (marco-o1) is a chat model from ollama; open-weight; input text.","text":"marco-o1 (marco-o1) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/marco-o1.html"}
{"id":"mathstral","label":"mathstral","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mathstral","title":"mathstral","abstract":"mathstral (mathstral) is a chat model from ollama; open-weight; input text.","text":"mathstral (mathstral) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mathstral.html"}
{"id":"medgemma","label":"medgemma","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/medgemma","title":"medgemma","abstract":"medgemma (medgemma) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"medgemma (medgemma) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/medgemma.html"}
{"id":"medgemma1.5","label":"medgemma1.5","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/medgemma1.5","title":"medgemma1.5","abstract":"medgemma1.5 (medgemma1.5) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"medgemma1.5 (medgemma1.5) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/medgemma1.5.html"}
{"id":"meditron","label":"meditron","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/meditron","title":"meditron","abstract":"meditron (meditron) is a chat model from ollama; open-weight; input text.","text":"meditron (meditron) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/meditron.html"}
{"id":"medllama2","label":"medllama2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/medllama2","title":"medllama2","abstract":"medllama2 (medllama2) is a chat model from ollama; open-weight; input text.","text":"medllama2 (medllama2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/medllama2.html"}
{"id":"megadolphin","label":"megadolphin","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/megadolphin","title":"megadolphin","abstract":"megadolphin (megadolphin) is a chat model from ollama; open-weight; input text.","text":"megadolphin (megadolphin) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/megadolphin.html"}
{"id":"mimo-v2.6","label":"mimo-v2.6","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mimo-v2.6","title":"mimo-v2.6","abstract":"mimo-v2.6 (mimo-v2.6) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"mimo-v2.6 (mimo-v2.6) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mimo-v2.6.html"}
{"id":"mimo-v2.6-flash","label":"mimo-v2.6-flash","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mimo-v2.6-flash","title":"mimo-v2.6-flash","abstract":"mimo-v2.6-flash (mimo-v2.6-flash) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"mimo-v2.6-flash (mimo-v2.6-flash) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mimo-v2.6-flash.html"}
{"id":"mimo-v2.6-pro","label":"mimo-v2.6-pro","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mimo-v2.6-pro","title":"mimo-v2.6-pro","abstract":"mimo-v2.6-pro (mimo-v2.6-pro) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"mimo-v2.6-pro (mimo-v2.6-pro) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mimo-v2.6-pro.html"}
{"id":"minicpm-v","label":"minicpm-v","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/minicpm-v","title":"minicpm-v","abstract":"minicpm-v (minicpm-v) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"minicpm-v (minicpm-v) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/minicpm-v.html"}
{"id":"minicpm-v4.5","label":"minicpm-v4.5","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/minicpm-v4.5","title":"minicpm-v4.5","abstract":"minicpm-v4.5 (minicpm-v4.5) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"minicpm-v4.5 (minicpm-v4.5) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/minicpm-v4.5.html"}
{"id":"minicpm-v4.6","label":"minicpm-v4.6","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/minicpm-v4.6","title":"minicpm-v4.6","abstract":"minicpm-v4.6 (minicpm-v4.6) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"minicpm-v4.6 (minicpm-v4.6) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/minicpm-v4.6.html"}
{"id":"minimax-m2.5","label":"minimax-m2.5","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["committed"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/minimax-m2.5","title":"minimax-m2.5","abstract":"minimax-m2.5 (minimax-m2.5) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"minimax-m2.5 (minimax-m2.5) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/minimax-m2.5.html"}
{"id":"minimax-m2.7","label":"minimax-m2.7","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/minimax-m2.7","title":"minimax-m2.7","abstract":"minimax-m2.7 (minimax-m2.7) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"minimax-m2.7 (minimax-m2.7) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/minimax-m2.7.html"}
{"id":"minimax-m3","label":"minimax-m3","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/minimax-m3","title":"minimax-m3","abstract":"minimax-m3 (minimax-m3) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"minimax-m3 (minimax-m3) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/minimax-m3.html"}
{"id":"minimax-m3.1-flash","label":"minimax-m3.1-flash","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/minimax-m3.1-flash","title":"minimax-m3.1-flash","abstract":"minimax-m3.1-flash (minimax-m3.1-flash) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"minimax-m3.1-flash (minimax-m3.1-flash) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/minimax-m3.1-flash.html"}
{"id":"ministral-3","label":"ministral-3","kind":"CHAT","capabilities":["vision","tools"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/ministral-3","title":"ministral-3","abstract":"ministral-3 (ministral-3) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text.","text":"ministral-3 (ministral-3) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/ministral-3.html"}
{"id":"mistral","label":"Mistral","kind":"CHAT","contextWindow":8192,"maxOutputTokens":8192,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["committed","litellm","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistral","title":"Mistral","abstract":"Mistral (mistral) is a chat model from ollama with a 8.2K-token context window; open-weight; capabilities tools; input text.","text":"Mistral (mistral) is a chat model from ollama with a 8.2K-token context window; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 8,192 tokens. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: committed, litellm, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistral.html"}
{"id":"mistral-large","label":"mistral-large","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistral-large","title":"mistral-large","abstract":"mistral-large (mistral-large) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"mistral-large (mistral-large) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistral-large.html"}
{"id":"mistral-large-3","label":"mistral-large-3","kind":"CHAT","capabilities":["vision","tools"],"modalities":{"input":["image","text"]},"benchmarks":{"intelligenceIndex":9.3,"scores":{"coding":{"value":20.1},"math":{"value":38}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":89.08,"latencyTtftSec":1.07,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistral-large-3","title":"mistral-large-3","abstract":"mistral-large-3 (mistral-large-3) is a chat model from ollama; capabilities vision, tools; input image, text.","text":"mistral-large-3 (mistral-large-3) is a chat model from ollama; capabilities vision, tools; input image, text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 9.3 · coding 20.1 · math 38 (cited from Artificial Analysis — verify at the source). Cited speed: 89.08 tokens/s · 1.07s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Capabilities: vision, tools. Sources: artificial-analysis, committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistral-large-3.html"}
{"id":"mistral-large-4","label":"mistral-large-4","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"benchmarks":{"intelligenceIndex":26,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"performance":{"throughputTps":169.058,"latencyTtftSec":2.881,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistral-large-4","title":"mistral-large-4","abstract":"mistral-large-4 (mistral-large-4) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"mistral-large-4 (mistral-large-4) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 26 (cited from Artificial Analysis — verify at the source). Cited speed: 169.058 tokens/s · 2.881s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistral-large-4.html"}
{"id":"mistral-medium-3.5","label":"mistral-medium-3.5","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistral-medium-3.5","title":"mistral-medium-3.5","abstract":"mistral-medium-3.5 (mistral-medium-3.5) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"mistral-medium-3.5 (mistral-medium-3.5) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistral-medium-3.5.html"}
{"id":"mistral-nemo","label":"mistral-nemo","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistral-nemo","title":"mistral-nemo","abstract":"mistral-nemo (mistral-nemo) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"mistral-nemo (mistral-nemo) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistral-nemo.html"}
{"id":"mistral-openorca","label":"mistral-openorca","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistral-openorca","title":"mistral-openorca","abstract":"mistral-openorca (mistral-openorca) is a chat model from ollama; open-weight; input text.","text":"mistral-openorca (mistral-openorca) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistral-openorca.html"}
{"id":"mistral-small","label":"mistral-small","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"benchmarks":{"intelligenceIndex":5.8,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistral-small","title":"mistral-small","abstract":"mistral-small (mistral-small) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"mistral-small (mistral-small) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 5.8 (cited from Artificial Analysis — verify at the source). Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistral-small.html"}
{"id":"mistral-small3.1","label":"mistral-small3.1","kind":"CHAT","capabilities":["vision","tools"],"openWeights":true,"modalities":{"input":["image","text"]},"benchmarks":{"intelligenceIndex":7.1,"scores":{"coding":{"value":26.3},"math":{"value":3.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":60.25,"latencyTtftSec":0.98,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistral-small3.1","title":"mistral-small3.1","abstract":"mistral-small3.1 (mistral-small3.1) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text.","text":"mistral-small3.1 (mistral-small3.1) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 7.1 · coding 26.3 · math 3.7 (cited from Artificial Analysis — verify at the source). Cited speed: 60.25 tokens/s · 0.98s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Capabilities: vision, tools. Weights: Open-weight. Sources: artificial-analysis, committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistral-small3.1.html"}
{"id":"mistral-small3.2","label":"mistral-small3.2","kind":"CHAT","capabilities":["vision","tools"],"openWeights":true,"modalities":{"input":["image","text"]},"benchmarks":{"intelligenceIndex":8.2,"scores":{"coding":{"value":12.5},"math":{"value":27}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":47.24,"latencyTtftSec":0.89,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistral-small3.2","title":"mistral-small3.2","abstract":"mistral-small3.2 (mistral-small3.2) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text.","text":"mistral-small3.2 (mistral-small3.2) is a chat model from ollama; open-weight; capabilities vision, tools; input image, text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 8.2 · coding 12.5 · math 27 (cited from Artificial Analysis — verify at the source). Cited speed: 47.24 tokens/s · 0.89s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Capabilities: vision, tools. Weights: Open-weight. Sources: artificial-analysis, committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistral-small3.2.html"}
{"id":"mistrallite","label":"mistrallite","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mistrallite","title":"mistrallite","abstract":"mistrallite (mistrallite) is a chat model from ollama; open-weight; input text.","text":"mistrallite (mistrallite) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mistrallite.html"}
{"id":"mixtral","label":"mixtral","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mixtral","title":"mixtral","abstract":"mixtral (mixtral) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"mixtral (mixtral) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mixtral.html"}
{"id":"moondream","label":"moondream","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/moondream","title":"moondream","abstract":"moondream (moondream) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"moondream (moondream) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/moondream.html"}
{"id":"muse-glimmer","label":"muse-glimmer","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"benchmarks":{"intelligenceIndex":6.3,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":111,"latencyTtftSec":1.09,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/muse-glimmer","title":"muse-glimmer","abstract":"muse-glimmer (muse-glimmer) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"muse-glimmer (muse-glimmer) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 6.3 (cited from Artificial Analysis — verify at the source). Cited speed: 111 tokens/s · 1.09s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: artificial-analysis, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/muse-glimmer.html"}
{"id":"muse-spark-open","label":"muse-spark-open","kind":"CHAT","capabilities":["vision","tools","reasoning"],"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/muse-spark-open","title":"muse-spark-open","abstract":"muse-spark-open (muse-spark-open) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text.","text":"muse-spark-open (muse-spark-open) is a chat model from ollama; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/muse-spark-open.html"}
{"id":"nemotron","label":"nemotron","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nemotron","title":"nemotron","abstract":"nemotron (nemotron) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"nemotron (nemotron) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nemotron.html"}
{"id":"nemotron-3-nano","label":"nemotron-3-nano","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nemotron-3-nano","title":"nemotron-3-nano","abstract":"nemotron-3-nano (nemotron-3-nano) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"nemotron-3-nano (nemotron-3-nano) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nemotron-3-nano.html"}
{"id":"nemotron-3-super","label":"nemotron-3-super","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nemotron-3-super","title":"nemotron-3-super","abstract":"nemotron-3-super (nemotron-3-super) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"nemotron-3-super (nemotron-3-super) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nemotron-3-super.html"}
{"id":"nemotron-3-ultra","label":"nemotron-3-ultra","kind":"CHAT","capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nemotron-3-ultra","title":"nemotron-3-ultra","abstract":"nemotron-3-ultra (nemotron-3-ultra) is a chat model from ollama; capabilities tools, reasoning; input text.","text":"nemotron-3-ultra (nemotron-3-ultra) is a chat model from ollama; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nemotron-3-ultra.html"}
{"id":"nemotron-3.5-bolt","label":"nemotron-3.5-bolt","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["audio","image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nemotron-3.5-bolt","title":"nemotron-3.5-bolt","abstract":"nemotron-3.5-bolt (nemotron-3.5-bolt) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input audio, image, text.","text":"nemotron-3.5-bolt (nemotron-3.5-bolt) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input audio, image, text. Vendor: ollama. Kind: CHAT. Input modalities: audio, image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nemotron-3.5-bolt.html"}
{"id":"nemotron-3.5-lightning","label":"nemotron-3.5-lightning","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nemotron-3.5-lightning","title":"nemotron-3.5-lightning","abstract":"nemotron-3.5-lightning (nemotron-3.5-lightning) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"nemotron-3.5-lightning (nemotron-3.5-lightning) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nemotron-3.5-lightning.html"}
{"id":"nemotron-3.5-super","label":"nemotron-3.5-super","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nemotron-3.5-super","title":"nemotron-3.5-super","abstract":"nemotron-3.5-super (nemotron-3.5-super) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"nemotron-3.5-super (nemotron-3.5-super) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nemotron-3.5-super.html"}
{"id":"nemotron-cascade-2","label":"nemotron-cascade-2","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nemotron-cascade-2","title":"nemotron-cascade-2","abstract":"nemotron-cascade-2 (nemotron-cascade-2) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"nemotron-cascade-2 (nemotron-cascade-2) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nemotron-cascade-2.html"}
{"id":"nemotron-mini","label":"nemotron-mini","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nemotron-mini","title":"nemotron-mini","abstract":"nemotron-mini (nemotron-mini) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"nemotron-mini (nemotron-mini) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nemotron-mini.html"}
{"id":"nemotron3","label":"nemotron3","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["audio","image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nemotron3","title":"nemotron3","abstract":"nemotron3 (nemotron3) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input audio, image, text.","text":"nemotron3 (nemotron3) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input audio, image, text. Vendor: ollama. Kind: CHAT. Input modalities: audio, image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nemotron3.html"}
{"id":"neural-chat","label":"neural-chat","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/neural-chat","title":"neural-chat","abstract":"neural-chat (neural-chat) is a chat model from ollama; open-weight; input text.","text":"neural-chat (neural-chat) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/neural-chat.html"}
{"id":"nexusraven","label":"nexusraven","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nexusraven","title":"nexusraven","abstract":"nexusraven (nexusraven) is a chat model from ollama; open-weight; input text.","text":"nexusraven (nexusraven) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nexusraven.html"}
{"id":"nimble","label":"nimble","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nimble","title":"nimble","abstract":"nimble (nimble) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"nimble (nimble) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nimble.html"}
{"id":"nimble-v3","label":"nimble-v3","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nimble-v3","title":"nimble-v3","abstract":"nimble-v3 (nimble-v3) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"nimble-v3 (nimble-v3) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nimble-v3.html"}
{"id":"north-mini-code-1.0","label":"north-mini-code-1.0","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/north-mini-code-1.0","title":"north-mini-code-1.0","abstract":"north-mini-code-1.0 (north-mini-code-1.0) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"north-mini-code-1.0 (north-mini-code-1.0) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/north-mini-code-1.0.html"}
{"id":"notus","label":"notus","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/notus","title":"notus","abstract":"notus (notus) is a chat model from ollama; open-weight; input text.","text":"notus (notus) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/notus.html"}
{"id":"notux","label":"notux","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/notux","title":"notux","abstract":"notux (notux) is a chat model from ollama; open-weight; input text.","text":"notux (notux) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/notux.html"}
{"id":"nous-hermes","label":"nous-hermes","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nous-hermes","title":"nous-hermes","abstract":"nous-hermes (nous-hermes) is a chat model from ollama; open-weight; input text.","text":"nous-hermes (nous-hermes) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nous-hermes.html"}
{"id":"nous-hermes2","label":"nous-hermes2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nous-hermes2","title":"nous-hermes2","abstract":"nous-hermes2 (nous-hermes2) is a chat model from ollama; open-weight; input text.","text":"nous-hermes2 (nous-hermes2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nous-hermes2.html"}
{"id":"nous-hermes2-mixtral","label":"nous-hermes2-mixtral","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nous-hermes2-mixtral","title":"nous-hermes2-mixtral","abstract":"nous-hermes2-mixtral (nous-hermes2-mixtral) is a chat model from ollama; open-weight; input text.","text":"nous-hermes2-mixtral (nous-hermes2-mixtral) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nous-hermes2-mixtral.html"}
{"id":"nuextract","label":"nuextract","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nuextract","title":"nuextract","abstract":"nuextract (nuextract) is a chat model from ollama; open-weight; input text.","text":"nuextract (nuextract) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nuextract.html"}
{"id":"olmo-3","label":"olmo-3","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/olmo-3","title":"olmo-3","abstract":"olmo-3 (olmo-3) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"olmo-3 (olmo-3) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/olmo-3.html"}
{"id":"olmo-3.1","label":"olmo-3.1","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/olmo-3.1","title":"olmo-3.1","abstract":"olmo-3.1 (olmo-3.1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"olmo-3.1 (olmo-3.1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/olmo-3.1.html"}
{"id":"olmo2","label":"olmo2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/olmo2","title":"olmo2","abstract":"olmo2 (olmo2) is a chat model from ollama; open-weight; input text.","text":"olmo2 (olmo2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/olmo2.html"}
{"id":"open-orca-platypus2","label":"open-orca-platypus2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/open-orca-platypus2","title":"open-orca-platypus2","abstract":"open-orca-platypus2 (open-orca-platypus2) is a chat model from ollama; open-weight; input text.","text":"open-orca-platypus2 (open-orca-platypus2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/open-orca-platypus2.html"}
{"id":"openchat","label":"openchat","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/openchat","title":"openchat","abstract":"openchat (openchat) is a chat model from ollama; open-weight; input text.","text":"openchat (openchat) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/openchat.html"}
{"id":"opencoder","label":"opencoder","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/opencoder","title":"opencoder","abstract":"opencoder (opencoder) is a chat model from ollama; open-weight; input text.","text":"opencoder (opencoder) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/opencoder.html"}
{"id":"openhermes","label":"openhermes","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/openhermes","title":"openhermes","abstract":"openhermes (openhermes) is a chat model from ollama; open-weight; input text.","text":"openhermes (openhermes) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/openhermes.html"}
{"id":"openthinker","label":"openthinker","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/openthinker","title":"openthinker","abstract":"openthinker (openthinker) is a chat model from ollama; open-weight; input text.","text":"openthinker (openthinker) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/openthinker.html"}
{"id":"orca-mini","label":"orca-mini","kind":"CHAT","contextWindow":4096,"maxOutputTokens":4096,"openWeights":true,"modalities":{"input":["text"]},"sources":["litellm","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/orca-mini","title":"orca-mini","abstract":"orca-mini (orca-mini) is a chat model from ollama with a 4.1K-token context window; open-weight; input text.","text":"orca-mini (orca-mini) is a chat model from ollama with a 4.1K-token context window; open-weight; input text. Vendor: ollama. Kind: CHAT. Context window: 4,096 tokens. Max output tokens: 4,096 tokens. Input modalities: text. Weights: Open-weight. Sources: litellm, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/orca-mini.html"}
{"id":"orca2","label":"orca2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/orca2","title":"orca2","abstract":"orca2 (orca2) is a chat model from ollama; open-weight; input text.","text":"orca2 (orca2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/orca2.html"}
{"id":"ornith","label":"ornith","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/ornith","title":"ornith","abstract":"ornith (ornith) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"ornith (ornith) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/ornith.html"}
{"id":"ornith-1.5","label":"ornith-1.5","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/ornith-1.5","title":"ornith-1.5","abstract":"ornith-1.5 (ornith-1.5) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"ornith-1.5 (ornith-1.5) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/ornith-1.5.html"}
{"id":"phi","label":"phi","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/phi","title":"phi","abstract":"phi (phi) is a chat model from ollama; open-weight; input text.","text":"phi (phi) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/phi.html"}
{"id":"phi3","label":"Phi-3","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/phi3","title":"Phi-3","abstract":"Phi-3 (phi3) is a chat model from ollama; open-weight; input text.","text":"Phi-3 (phi3) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/phi3.html"}
{"id":"phi3.5","label":"phi3.5","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/phi3.5","title":"phi3.5","abstract":"phi3.5 (phi3.5) is a chat model from ollama; open-weight; input text.","text":"phi3.5 (phi3.5) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/phi3.5.html"}
{"id":"phi4","label":"phi4","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/phi4","title":"phi4","abstract":"phi4 (phi4) is a chat model from ollama; open-weight; input text.","text":"phi4 (phi4) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/phi4.html"}
{"id":"phi4-mini","label":"phi4-mini","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"benchmarks":{"intelligenceIndex":6.3,"scores":{"coding":{"value":3.8},"math":{"value":6.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":44.94,"latencyTtftSec":0.86,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/phi4-mini","title":"phi4-mini","abstract":"phi4-mini (phi4-mini) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"phi4-mini (phi4-mini) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 6.3 · coding 3.8 · math 6.7 (cited from Artificial Analysis — verify at the source). Cited speed: 44.94 tokens/s · 0.86s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: artificial-analysis, committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/phi4-mini.html"}
{"id":"phi4-mini-reasoning","label":"phi4-mini-reasoning","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/phi4-mini-reasoning","title":"phi4-mini-reasoning","abstract":"phi4-mini-reasoning (phi4-mini-reasoning) is a chat model from ollama; open-weight; input text.","text":"phi4-mini-reasoning (phi4-mini-reasoning) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/phi4-mini-reasoning.html"}
{"id":"phi4-reasoning","label":"phi4-reasoning","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/phi4-reasoning","title":"phi4-reasoning","abstract":"phi4-reasoning (phi4-reasoning) is a chat model from ollama; open-weight; input text.","text":"phi4-reasoning (phi4-reasoning) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/phi4-reasoning.html"}
{"id":"phind-codellama","label":"phind-codellama","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/phind-codellama","title":"phind-codellama","abstract":"phind-codellama (phind-codellama) is a chat model from ollama; open-weight; input text.","text":"phind-codellama (phind-codellama) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/phind-codellama.html"}
{"id":"phonon","label":"phonon","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/phonon","title":"phonon","abstract":"phonon (phonon) is a chat model from ollama; open-weight; input text.","text":"phonon (phonon) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/phonon.html"}
{"id":"pplx-decider","label":"pplx-decider","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/pplx-decider","title":"pplx-decider","abstract":"pplx-decider (pplx-decider) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"pplx-decider (pplx-decider) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/pplx-decider.html"}
{"id":"pplx-decider-flash","label":"pplx-decider-flash","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/pplx-decider-flash","title":"pplx-decider-flash","abstract":"pplx-decider-flash (pplx-decider-flash) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"pplx-decider-flash (pplx-decider-flash) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/pplx-decider-flash.html"}
{"id":"qwen","label":"qwen","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen","title":"qwen","abstract":"qwen (qwen) is a chat model from ollama; open-weight; input text.","text":"qwen (qwen) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen.html"}
{"id":"qwen2","label":"qwen2","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen2","title":"qwen2","abstract":"qwen2 (qwen2) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"qwen2 (qwen2) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen2.html"}
{"id":"qwen2-math","label":"qwen2-math","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen2-math","title":"qwen2-math","abstract":"qwen2-math (qwen2-math) is a chat model from ollama; open-weight; input text.","text":"qwen2-math (qwen2-math) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen2-math.html"}
{"id":"qwen2.5","label":"Qwen 2.5","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen2.5","title":"Qwen 2.5","abstract":"Qwen 2.5 (qwen2.5) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"Qwen 2.5 (qwen2.5) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen2.5.html"}
{"id":"qwen2.5-coder","label":"qwen2.5-coder","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen2.5-coder","title":"qwen2.5-coder","abstract":"qwen2.5-coder (qwen2.5-coder) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"qwen2.5-coder (qwen2.5-coder) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen2.5-coder.html"}
{"id":"qwen2.5vl","label":"qwen2.5vl","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen2.5vl","title":"qwen2.5vl","abstract":"qwen2.5vl (qwen2.5vl) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"qwen2.5vl (qwen2.5vl) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen2.5vl.html"}
{"id":"qwen3","label":"qwen3","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen3","title":"qwen3","abstract":"qwen3 (qwen3) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"qwen3 (qwen3) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen3.html"}
{"id":"qwen3-coder","label":"qwen3-coder","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen3-coder","title":"qwen3-coder","abstract":"qwen3-coder (qwen3-coder) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"qwen3-coder (qwen3-coder) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen3-coder.html"}
{"id":"qwen3-coder-next","label":"qwen3-coder-next","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen3-coder-next","title":"qwen3-coder-next","abstract":"qwen3-coder-next (qwen3-coder-next) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"qwen3-coder-next (qwen3-coder-next) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen3-coder-next.html"}
{"id":"qwen3-next","label":"qwen3-next","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen3-next","title":"qwen3-next","abstract":"qwen3-next (qwen3-next) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"qwen3-next (qwen3-next) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen3-next.html"}
{"id":"qwen3-vl","label":"qwen3-vl","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen3-vl","title":"qwen3-vl","abstract":"qwen3-vl (qwen3-vl) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"qwen3-vl (qwen3-vl) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen3-vl.html"}
{"id":"qwen3.5","label":"qwen3.5","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen3.5","title":"qwen3.5","abstract":"qwen3.5 (qwen3.5) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"qwen3.5 (qwen3.5) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen3.5.html"}
{"id":"qwen3.6","label":"qwen3.6","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen3.6","title":"qwen3.6","abstract":"qwen3.6 (qwen3.6) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"qwen3.6 (qwen3.6) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen3.6.html"}
{"id":"qwen3.8","label":"qwen3.8","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen3.8","title":"qwen3.8","abstract":"qwen3.8 (qwen3.8) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"qwen3.8 (qwen3.8) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen3.8.html"}
{"id":"qwen3.8-flash-next","label":"qwen3.8-flash-next","kind":"CHAT","capabilities":["vision","tools","reasoning"],"openWeights":true,"modalities":{"input":["image","text"]},"performance":{"throughputTps":51.06,"latencyTtftSec":2.33,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen3.8-flash-next","title":"qwen3.8-flash-next","abstract":"qwen3.8-flash-next (qwen3.8-flash-next) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text.","text":"qwen3.8-flash-next (qwen3.8-flash-next) is a chat model from ollama; open-weight; capabilities vision, tools, reasoning; input image, text. Vendor: ollama. Kind: CHAT. Cited speed: 51.06 tokens/s · 2.33s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Capabilities: vision, tools, reasoning. Weights: Open-weight. Sources: artificial-analysis, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen3.8-flash-next.html"}
{"id":"qwq","label":"qwq","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwq","title":"qwq","abstract":"qwq (qwq) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"qwq (qwq) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwq.html"}
{"id":"r1-1776","label":"r1-1776","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"benchmarks":{"intelligenceIndex":6.4,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/r1-1776","title":"r1-1776","abstract":"r1-1776 (r1-1776) is a chat model from ollama; open-weight; input text.","text":"r1-1776 (r1-1776) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Cited capability index: intelligence index 6.4 (cited from Artificial Analysis — verify at the source). Input modalities: text. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/r1-1776.html"}
{"id":"reader-lm","label":"reader-lm","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/reader-lm","title":"reader-lm","abstract":"reader-lm (reader-lm) is a chat model from ollama; open-weight; input text.","text":"reader-lm (reader-lm) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/reader-lm.html"}
{"id":"reflection","label":"reflection","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/reflection","title":"reflection","abstract":"reflection (reflection) is a chat model from ollama; open-weight; input text.","text":"reflection (reflection) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/reflection.html"}
{"id":"rnj-1","label":"rnj-1","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/rnj-1","title":"rnj-1","abstract":"rnj-1 (rnj-1) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"rnj-1 (rnj-1) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/rnj-1.html"}
{"id":"sailor2","label":"sailor2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/sailor2","title":"sailor2","abstract":"sailor2 (sailor2) is a chat model from ollama; open-weight; input text.","text":"sailor2 (sailor2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/sailor2.html"}
{"id":"samantha-mistral","label":"samantha-mistral","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/samantha-mistral","title":"samantha-mistral","abstract":"samantha-mistral (samantha-mistral) is a chat model from ollama; open-weight; input text.","text":"samantha-mistral (samantha-mistral) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/samantha-mistral.html"}
{"id":"shieldgemma","label":"shieldgemma","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/shieldgemma","title":"shieldgemma","abstract":"shieldgemma (shieldgemma) is a chat model from ollama; open-weight; input text.","text":"shieldgemma (shieldgemma) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/shieldgemma.html"}
{"id":"smallthinker","label":"smallthinker","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/smallthinker","title":"smallthinker","abstract":"smallthinker (smallthinker) is a chat model from ollama; open-weight; input text.","text":"smallthinker (smallthinker) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/smallthinker.html"}
{"id":"smollm","label":"smollm","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/smollm","title":"smollm","abstract":"smollm (smollm) is a chat model from ollama; open-weight; input text.","text":"smollm (smollm) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/smollm.html"}
{"id":"smollm2","label":"smollm2","kind":"CHAT","capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/smollm2","title":"smollm2","abstract":"smollm2 (smollm2) is a chat model from ollama; open-weight; capabilities tools; input text.","text":"smollm2 (smollm2) is a chat model from ollama; open-weight; capabilities tools; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/smollm2.html"}
{"id":"solar","label":"solar","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/solar","title":"solar","abstract":"solar (solar) is a chat model from ollama; open-weight; input text.","text":"solar (solar) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/solar.html"}
{"id":"solar-pro","label":"solar-pro","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/solar-pro","title":"solar-pro","abstract":"solar-pro (solar-pro) is a chat model from ollama; open-weight; input text.","text":"solar-pro (solar-pro) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/solar-pro.html"}
{"id":"sqlcoder","label":"sqlcoder","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/sqlcoder","title":"sqlcoder","abstract":"sqlcoder (sqlcoder) is a chat model from ollama; open-weight; input text.","text":"sqlcoder (sqlcoder) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/sqlcoder.html"}
{"id":"stable-beluga","label":"stable-beluga","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/stable-beluga","title":"stable-beluga","abstract":"stable-beluga (stable-beluga) is a chat model from ollama; open-weight; input text.","text":"stable-beluga (stable-beluga) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/stable-beluga.html"}
{"id":"stable-code","label":"stable-code","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/stable-code","title":"stable-code","abstract":"stable-code (stable-code) is a chat model from ollama; open-weight; input text.","text":"stable-code (stable-code) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/stable-code.html"}
{"id":"stablelm-zephyr","label":"stablelm-zephyr","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/stablelm-zephyr","title":"stablelm-zephyr","abstract":"stablelm-zephyr (stablelm-zephyr) is a chat model from ollama; open-weight; input text.","text":"stablelm-zephyr (stablelm-zephyr) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/stablelm-zephyr.html"}
{"id":"stablelm2","label":"stablelm2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/stablelm2","title":"stablelm2","abstract":"stablelm2 (stablelm2) is a chat model from ollama; open-weight; input text.","text":"stablelm2 (stablelm2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/stablelm2.html"}
{"id":"starcoder","label":"starcoder","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/starcoder","title":"starcoder","abstract":"starcoder (starcoder) is a chat model from ollama; open-weight; input text.","text":"starcoder (starcoder) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/starcoder.html"}
{"id":"starcoder2","label":"starcoder2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/starcoder2","title":"starcoder2","abstract":"starcoder2 (starcoder2) is a chat model from ollama; open-weight; input text.","text":"starcoder2 (starcoder2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/starcoder2.html"}
{"id":"starling-lm","label":"starling-lm","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/starling-lm","title":"starling-lm","abstract":"starling-lm (starling-lm) is a chat model from ollama; open-weight; input text.","text":"starling-lm (starling-lm) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/starling-lm.html"}
{"id":"strands-decider","label":"strands-decider","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/strands-decider","title":"strands-decider","abstract":"strands-decider (strands-decider) is a chat model from ollama; open-weight; input text.","text":"strands-decider (strands-decider) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/strands-decider.html"}
{"id":"tev1","label":"tev1","kind":"CHAT","capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/tev1","title":"tev1","abstract":"tev1 (tev1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text.","text":"tev1 (tev1) is a chat model from ollama; open-weight; capabilities tools, reasoning; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/tev1.html"}
{"id":"tinydolphin","label":"tinydolphin","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/tinydolphin","title":"tinydolphin","abstract":"tinydolphin (tinydolphin) is a chat model from ollama; open-weight; input text.","text":"tinydolphin (tinydolphin) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/tinydolphin.html"}
{"id":"tinyllama","label":"tinyllama","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/tinyllama","title":"tinyllama","abstract":"tinyllama (tinyllama) is a chat model from ollama; open-weight; input text.","text":"tinyllama (tinyllama) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/tinyllama.html"}
{"id":"translategemma","label":"translategemma","kind":"CHAT","capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/translategemma","title":"translategemma","abstract":"translategemma (translategemma) is a chat model from ollama; open-weight; capabilities vision; input image, text.","text":"translategemma (translategemma) is a chat model from ollama; open-weight; capabilities vision; input image, text. Vendor: ollama. Kind: CHAT. Input modalities: image, text. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/translategemma.html"}
{"id":"tulu3","label":"tulu3","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/tulu3","title":"tulu3","abstract":"tulu3 (tulu3) is a chat model from ollama; open-weight; input text.","text":"tulu3 (tulu3) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/tulu3.html"}
{"id":"vicuna","label":"vicuna","kind":"CHAT","contextWindow":2048,"maxOutputTokens":2048,"openWeights":true,"modalities":{"input":["text"]},"sources":["litellm","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/vicuna","title":"vicuna","abstract":"vicuna (vicuna) is a chat model from ollama with a 2.0K-token context window; open-weight; input text.","text":"vicuna (vicuna) is a chat model from ollama with a 2.0K-token context window; open-weight; input text. Vendor: ollama. Kind: CHAT. Context window: 2,048 tokens. Max output tokens: 2,048 tokens. Input modalities: text. Weights: Open-weight. Sources: litellm, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/vicuna.html"}
{"id":"wizard-math","label":"wizard-math","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/wizard-math","title":"wizard-math","abstract":"wizard-math (wizard-math) is a chat model from ollama; open-weight; input text.","text":"wizard-math (wizard-math) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/wizard-math.html"}
{"id":"wizard-vicuna","label":"wizard-vicuna","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/wizard-vicuna","title":"wizard-vicuna","abstract":"wizard-vicuna (wizard-vicuna) is a chat model from ollama; open-weight; input text.","text":"wizard-vicuna (wizard-vicuna) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/wizard-vicuna.html"}
{"id":"wizard-vicuna-uncensored","label":"wizard-vicuna-uncensored","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/wizard-vicuna-uncensored","title":"wizard-vicuna-uncensored","abstract":"wizard-vicuna-uncensored (wizard-vicuna-uncensored) is a chat model from ollama; open-weight; input text.","text":"wizard-vicuna-uncensored (wizard-vicuna-uncensored) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/wizard-vicuna-uncensored.html"}
{"id":"wizardcoder","label":"wizardcoder","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/wizardcoder","title":"wizardcoder","abstract":"wizardcoder (wizardcoder) is a chat model from ollama; open-weight; input text.","text":"wizardcoder (wizardcoder) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/wizardcoder.html"}
{"id":"wizardlm","label":"wizardlm","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/wizardlm","title":"wizardlm","abstract":"wizardlm (wizardlm) is a chat model from ollama; open-weight; input text.","text":"wizardlm (wizardlm) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/wizardlm.html"}
{"id":"wizardlm-uncensored","label":"wizardlm-uncensored","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/wizardlm-uncensored","title":"wizardlm-uncensored","abstract":"wizardlm-uncensored (wizardlm-uncensored) is a chat model from ollama; open-weight; input text.","text":"wizardlm-uncensored (wizardlm-uncensored) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/wizardlm-uncensored.html"}
{"id":"wizardlm2","label":"wizardlm2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/wizardlm2","title":"wizardlm2","abstract":"wizardlm2 (wizardlm2) is a chat model from ollama; open-weight; input text.","text":"wizardlm2 (wizardlm2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/wizardlm2.html"}
{"id":"xwinlm","label":"xwinlm","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/xwinlm","title":"xwinlm","abstract":"xwinlm (xwinlm) is a chat model from ollama; open-weight; input text.","text":"xwinlm (xwinlm) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/xwinlm.html"}
{"id":"yarn-llama2","label":"yarn-llama2","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/yarn-llama2","title":"yarn-llama2","abstract":"yarn-llama2 (yarn-llama2) is a chat model from ollama; open-weight; input text.","text":"yarn-llama2 (yarn-llama2) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/yarn-llama2.html"}
{"id":"yarn-mistral","label":"yarn-mistral","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/yarn-mistral","title":"yarn-mistral","abstract":"yarn-mistral (yarn-mistral) is a chat model from ollama; open-weight; input text.","text":"yarn-mistral (yarn-mistral) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/yarn-mistral.html"}
{"id":"yi","label":"yi","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/yi","title":"yi","abstract":"yi (yi) is a chat model from ollama; open-weight; input text.","text":"yi (yi) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/yi.html"}
{"id":"yi-coder","label":"yi-coder","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/yi-coder","title":"yi-coder","abstract":"yi-coder (yi-coder) is a chat model from ollama; open-weight; input text.","text":"yi-coder (yi-coder) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/yi-coder.html"}
{"id":"zephyr","label":"zephyr","kind":"CHAT","openWeights":true,"modalities":{"input":["text"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/zephyr","title":"zephyr","abstract":"zephyr (zephyr) is a chat model from ollama; open-weight; input text.","text":"zephyr (zephyr) is a chat model from ollama; open-weight; input text. Vendor: ollama. Kind: CHAT. Input modalities: text. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/zephyr.html"}
{"id":"all-minilm","label":"all-minilm","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/all-minilm","title":"all-minilm","abstract":"all-minilm (all-minilm) is a embedding model from ollama; open-weight; input text; output embedding.","text":"all-minilm (all-minilm) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/all-minilm.html"}
{"id":"bge-large","label":"bge-large","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/bge-large","title":"bge-large","abstract":"bge-large (bge-large) is a embedding model from ollama; open-weight; input text; output embedding.","text":"bge-large (bge-large) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/bge-large.html"}
{"id":"bge-m3","label":"bge-m3","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/bge-m3","title":"bge-m3","abstract":"bge-m3 (bge-m3) is a embedding model from ollama; open-weight; input text; output embedding.","text":"bge-m3 (bge-m3) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/bge-m3.html"}
{"id":"embeddinggemma","label":"embeddinggemma","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/embeddinggemma","title":"embeddinggemma","abstract":"embeddinggemma (embeddinggemma) is a embedding model from ollama; open-weight; input text; output embedding.","text":"embeddinggemma (embeddinggemma) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/embeddinggemma.html"}
{"id":"embeddinggemma-2","label":"embeddinggemma-2","kind":"EMBEDDING","capabilities":["vision"],"openWeights":true,"modalities":{"input":["audio","image","text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/embeddinggemma-2","title":"embeddinggemma-2","abstract":"embeddinggemma-2 (embeddinggemma-2) is a embedding model from ollama; open-weight; capabilities vision; input audio, image, text; output embedding.","text":"embeddinggemma-2 (embeddinggemma-2) is a embedding model from ollama; open-weight; capabilities vision; input audio, image, text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: audio, image, text. Output modalities: embedding. Capabilities: vision. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/embeddinggemma-2.html"}
{"id":"granite-embedding","label":"granite-embedding","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/granite-embedding","title":"granite-embedding","abstract":"granite-embedding (granite-embedding) is a embedding model from ollama; open-weight; input text; output embedding.","text":"granite-embedding (granite-embedding) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/granite-embedding.html"}
{"id":"laya","label":"laya","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/laya","title":"laya","abstract":"laya (laya) is a embedding model from ollama; open-weight; input text; output embedding.","text":"laya (laya) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/laya.html"}
{"id":"mxbai-embed-large","label":"mxbai-embed-large","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/mxbai-embed-large","title":"mxbai-embed-large","abstract":"mxbai-embed-large (mxbai-embed-large) is a embedding model from ollama; open-weight; input text; output embedding.","text":"mxbai-embed-large (mxbai-embed-large) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/mxbai-embed-large.html"}
{"id":"nomic-embed-text","label":"nomic-embed-text","kind":"EMBEDDING","embeddingDimensions":768,"openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["committed","ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nomic-embed-text","title":"nomic-embed-text","abstract":"nomic-embed-text (nomic-embed-text) is a embedding model from ollama; open-weight; 768-dimensional embeddings; input text; output embedding.","text":"nomic-embed-text (nomic-embed-text) is a embedding model from ollama; open-weight; 768-dimensional embeddings; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Embedding dimensions: 768. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: committed, ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nomic-embed-text.html"}
{"id":"nomic-embed-text-v2-moe","label":"nomic-embed-text-v2-moe","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/nomic-embed-text-v2-moe","title":"nomic-embed-text-v2-moe","abstract":"nomic-embed-text-v2-moe (nomic-embed-text-v2-moe) is a embedding model from ollama; open-weight; input text; output embedding.","text":"nomic-embed-text-v2-moe (nomic-embed-text-v2-moe) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/nomic-embed-text-v2-moe.html"}
{"id":"paraphrase-multilingual","label":"paraphrase-multilingual","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/paraphrase-multilingual","title":"paraphrase-multilingual","abstract":"paraphrase-multilingual (paraphrase-multilingual) is a embedding model from ollama; open-weight; input text; output embedding.","text":"paraphrase-multilingual (paraphrase-multilingual) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/paraphrase-multilingual.html"}
{"id":"qwen3-embedding","label":"qwen3-embedding","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/qwen3-embedding","title":"qwen3-embedding","abstract":"qwen3-embedding (qwen3-embedding) is a embedding model from ollama; open-weight; input text; output embedding.","text":"qwen3-embedding (qwen3-embedding) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/qwen3-embedding.html"}
{"id":"snowflake-arctic-embed","label":"snowflake-arctic-embed","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/snowflake-arctic-embed","title":"snowflake-arctic-embed","abstract":"snowflake-arctic-embed (snowflake-arctic-embed) is a embedding model from ollama; open-weight; input text; output embedding.","text":"snowflake-arctic-embed (snowflake-arctic-embed) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/snowflake-arctic-embed.html"}
{"id":"snowflake-arctic-embed2","label":"snowflake-arctic-embed2","kind":"EMBEDDING","openWeights":true,"modalities":{"input":["text"],"output":["embedding"]},"sources":["ollama-library"],"lastVerified":"2026-11-05","vendor":"ollama","ref":"ollama/snowflake-arctic-embed2","title":"snowflake-arctic-embed2","abstract":"snowflake-arctic-embed2 (snowflake-arctic-embed2) is a embedding model from ollama; open-weight; input text; output embedding.","text":"snowflake-arctic-embed2 (snowflake-arctic-embed2) is a embedding model from ollama; open-weight; input text; output embedding. Vendor: ollama. Kind: EMBEDDING. Input modalities: text. Output modalities: embedding. Weights: Open-weight. Sources: ollama-library. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/ollama/snowflake-arctic-embed2.html"}
{"id":"chat-latest","label":"chat-latest","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":5,"outputPer1M":30,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/chat-latest","title":"chat-latest","abstract":"chat-latest (chat-latest) is a chat model from openai with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"chat-latest (chat-latest) is a chat model from openai with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $30 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/chat-latest.html"}
{"id":"gpt-4.1","label":"GPT-4.1","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["vision","tools"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-04-14","pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"performance":{"throughputTps":151.52,"latencyTtftSec":1.09,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4.1","title":"GPT-4.1","abstract":"GPT-4.1 (gpt-4.1) is a chat model from openai with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools; input image, pdf, text; output text.","text":"GPT-4.1 (gpt-4.1) is a chat model from openai with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 151.52 tokens/s · 1.09s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: vision, tools. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-04-14. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4.1.html"}
{"id":"gpt-4.1-2025-04-14","label":"gpt-4.1-2025-04-14","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4.1-2025-04-14","title":"gpt-4.1-2025-04-14","abstract":"gpt-4.1-2025-04-14 (gpt-4.1-2025-04-14) is a chat model from openai with a 1.0M-token context window; capabilities tools, vision; input image, pdf, text; output text.","text":"gpt-4.1-2025-04-14 (gpt-4.1-2025-04-14) is a chat model from openai with a 1.0M-token context window; capabilities tools, vision; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4.1-2025-04-14.html"}
{"id":"gpt-4.1-mini","label":"GPT-4.1 mini","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["vision","tools"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-04-14","pricing":{"inputPer1M":0.4,"outputPer1M":1.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":14.8,"scores":{"coding":{"value":20.2},"math":{"value":46.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":140.4,"latencyTtftSec":0.81,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4.1-mini","title":"GPT-4.1 mini","abstract":"GPT-4.1 mini (gpt-4.1-mini) is a chat model from openai with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools; input image, pdf, text; output text.","text":"GPT-4.1 mini (gpt-4.1-mini) is a chat model from openai with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.4 in / $1.6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 14.8 · coding 20.2 · math 46.3 (cited from Artificial Analysis — verify at the source). Cited speed: 140.4 tokens/s · 0.81s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: vision, tools. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-04-14. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4.1-mini.html"}
{"id":"gpt-4.1-mini-2025-04-14","label":"gpt-4.1-mini-2025-04-14","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.4,"outputPer1M":1.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4.1-mini-2025-04-14","title":"gpt-4.1-mini-2025-04-14","abstract":"gpt-4.1-mini-2025-04-14 (gpt-4.1-mini-2025-04-14) is a chat model from openai with a 1.0M-token context window; capabilities tools, vision; input image, pdf, text; output text.","text":"gpt-4.1-mini-2025-04-14 (gpt-4.1-mini-2025-04-14) is a chat model from openai with a 1.0M-token context window; capabilities tools, vision; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.4 in / $1.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4.1-mini-2025-04-14.html"}
{"id":"gpt-4o","label":"GPT-4o","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["vision","tools"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-09","releaseDate":"2024-05-13","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":8.4,"scores":{"math":{"value":6}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":162.41,"latencyTtftSec":0.91,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o","title":"GPT-4o","abstract":"GPT-4o (gpt-4o) is a chat model from openai with a 128K-token context window; proprietary (API-only); capabilities vision, tools; input image, pdf, text; output text.","text":"GPT-4o (gpt-4o) is a chat model from openai with a 128K-token context window; proprietary (API-only); capabilities vision, tools; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 8.4 · math 6 (cited from Artificial Analysis — verify at the source). Cited speed: 162.41 tokens/s · 0.91s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: vision, tools. Weights: Proprietary (API-only). Knowledge cutoff: 2023-09. Release date: 2024-05-13. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o.html"}
{"id":"gpt-4o-2024-08-06","label":"gpt-4o-2024-08-06","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-09","releaseDate":"2024-08-06","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":7.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":121.69,"latencyTtftSec":1.17,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-2024-08-06","title":"gpt-4o-2024-08-06","abstract":"gpt-4o-2024-08-06 (gpt-4o-2024-08-06) is a chat model from openai with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"gpt-4o-2024-08-06 (gpt-4o-2024-08-06) is a chat model from openai with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 7.7 (cited from Artificial Analysis — verify at the source). Cited speed: 121.69 tokens/s · 1.17s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2023-09. Release date: 2024-08-06. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-2024-08-06.html"}
{"id":"gpt-4o-2024-11-20","label":"gpt-4o-2024-11-20","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-09","releaseDate":"2024-11-20","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-2024-11-20","title":"gpt-4o-2024-11-20","abstract":"gpt-4o-2024-11-20 (gpt-4o-2024-11-20) is a chat model from openai with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"gpt-4o-2024-11-20 (gpt-4o-2024-11-20) is a chat model from openai with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2023-09. Release date: 2024-11-20. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-2024-11-20.html"}
{"id":"gpt-4o-mini","label":"GPT-4o mini","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["vision","tools"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-09","releaseDate":"2024-07-18","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":6.7,"scores":{"coding":{"value":11.4},"math":{"value":14.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":96.27,"latencyTtftSec":1.09,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-mini","title":"GPT-4o mini","abstract":"GPT-4o mini (gpt-4o-mini) is a chat model from openai with a 128K-token context window; proprietary (API-only); capabilities vision, tools; input image, pdf, text; output text.","text":"GPT-4o mini (gpt-4o-mini) is a chat model from openai with a 128K-token context window; proprietary (API-only); capabilities vision, tools; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.7 · coding 11.4 · math 14.7 (cited from Artificial Analysis — verify at the source). Cited speed: 96.27 tokens/s · 1.09s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: vision, tools. Weights: Proprietary (API-only). Knowledge cutoff: 2023-09. Release date: 2024-07-18. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-mini.html"}
{"id":"gpt-4o-mini-2024-07-18","label":"gpt-4o-mini-2024-07-18","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-mini-2024-07-18","title":"gpt-4o-mini-2024-07-18","abstract":"gpt-4o-mini-2024-07-18 (gpt-4o-mini-2024-07-18) is a chat model from openai with a 128K-token context window; capabilities tools, vision; input image, pdf, text.","text":"gpt-4o-mini-2024-07-18 (gpt-4o-mini-2024-07-18) is a chat model from openai with a 128K-token context window; capabilities tools, vision; input image, pdf, text. Vendor: openai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: tools, vision. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-mini-2024-07-18.html"}
{"id":"gpt-5","label":"gpt-5","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-08-07","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":23,"scores":{"coding":{"value":37.8},"math":{"value":94.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":89.53,"latencyTtftSec":79.87,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5","title":"gpt-5","abstract":"gpt-5 (gpt-5) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5 (gpt-5) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 23 · coding 37.8 · math 94.3 (cited from Artificial Analysis — verify at the source). Cited speed: 89.53 tokens/s · 79.87s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-08-07. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.html"}
{"id":"gpt-5-2025-08-07","label":"gpt-5-2025-08-07","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5-2025-08-07","title":"gpt-5-2025-08-07","abstract":"gpt-5-2025-08-07 (gpt-5-2025-08-07) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5-2025-08-07 (gpt-5-2025-08-07) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5-2025-08-07.html"}
{"id":"gpt-5-mini","label":"gpt-5-mini","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-05-30","releaseDate":"2025-08-07","pricing":{"inputPer1M":0.25,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":16.8,"scores":{"coding":{"value":15.6},"math":{"value":90.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":93.68,"latencyTtftSec":59.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5-mini","title":"gpt-5-mini","abstract":"gpt-5-mini (gpt-5-mini) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5-mini (gpt-5-mini) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.25 in / $2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 16.8 · coding 15.6 · math 90.7 (cited from Artificial Analysis — verify at the source). Cited speed: 93.68 tokens/s · 59.5s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-05-30. Release date: 2025-08-07. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5-mini.html"}
{"id":"gpt-5-mini-2025-08-07","label":"gpt-5-mini-2025-08-07","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.25,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5-mini-2025-08-07","title":"gpt-5-mini-2025-08-07","abstract":"gpt-5-mini-2025-08-07 (gpt-5-mini-2025-08-07) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5-mini-2025-08-07 (gpt-5-mini-2025-08-07) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.25 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5-mini-2025-08-07.html"}
{"id":"gpt-5-nano","label":"gpt-5-nano","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-05-30","releaseDate":"2025-08-07","pricing":{"inputPer1M":0.05,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":13,"scores":{"math":{"value":83.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":145.66,"latencyTtftSec":75.09,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5-nano","title":"gpt-5-nano","abstract":"gpt-5-nano (gpt-5-nano) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5-nano (gpt-5-nano) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.05 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 13 · math 83.7 (cited from Artificial Analysis — verify at the source). Cited speed: 145.66 tokens/s · 75.09s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-05-30. Release date: 2025-08-07. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5-nano.html"}
{"id":"gpt-5-nano-2025-08-07","label":"gpt-5-nano-2025-08-07","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.05,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5-nano-2025-08-07","title":"gpt-5-nano-2025-08-07","abstract":"gpt-5-nano-2025-08-07 (gpt-5-nano-2025-08-07) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5-nano-2025-08-07 (gpt-5-nano-2025-08-07) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.05 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5-nano-2025-08-07.html"}
{"id":"gpt-5-pro","label":"gpt-5-pro","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-10-06","pricing":{"inputPer1M":15,"outputPer1M":120,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5-pro","title":"gpt-5-pro","abstract":"gpt-5-pro (gpt-5-pro) is a chat model from openai with a 400K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5-pro (gpt-5-pro) is a chat model from openai with a 400K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $15 in / $120 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-10-06. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5-pro.html"}
{"id":"gpt-5-pro-2025-10-06","label":"gpt-5-pro-2025-10-06","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":15,"outputPer1M":120,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5-pro-2025-10-06","title":"gpt-5-pro-2025-10-06","abstract":"gpt-5-pro-2025-10-06 (gpt-5-pro-2025-10-06) is a chat model from openai with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5-pro-2025-10-06 (gpt-5-pro-2025-10-06) is a chat model from openai with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $15 in / $120 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5-pro-2025-10-06.html"}
{"id":"gpt-5-search-api","label":"gpt-5-search-api","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5-search-api","title":"gpt-5-search-api","abstract":"gpt-5-search-api (gpt-5-search-api) is a chat model from openai with a 272K-token context window; capabilities tools, vision; input image, pdf, text.","text":"gpt-5-search-api (gpt-5-search-api) is a chat model from openai with a 272K-token context window; capabilities tools, vision; input image, pdf, text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: tools, vision. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5-search-api.html"}
{"id":"gpt-5-search-api-2025-10-14","label":"gpt-5-search-api-2025-10-14","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5-search-api-2025-10-14","title":"gpt-5-search-api-2025-10-14","abstract":"gpt-5-search-api-2025-10-14 (gpt-5-search-api-2025-10-14) is a chat model from openai with a 272K-token context window; capabilities tools, vision; input image, pdf, text.","text":"gpt-5-search-api-2025-10-14 (gpt-5-search-api-2025-10-14) is a chat model from openai with a 272K-token context window; capabilities tools, vision; input image, pdf, text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: tools, vision. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5-search-api-2025-10-14.html"}
{"id":"gpt-5.1","label":"gpt-5.1","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["image","text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-11-13","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":36.9,"scores":{"coding":{"value":49.4},"math":{"value":94}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":101.59,"latencyTtftSec":45.51,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.1","title":"gpt-5.1","abstract":"gpt-5.1 (gpt-5.1) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output image, text.","text":"gpt-5.1 (gpt-5.1) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output image, text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 36.9 · coding 49.4 · math 94 (cited from Artificial Analysis — verify at the source). Cited speed: 101.59 tokens/s · 45.51s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: image, text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-11-13. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.1.html"}
{"id":"gpt-5.1-2025-11-13","label":"gpt-5.1-2025-11-13","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["image","text"]},"pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.1-2025-11-13","title":"gpt-5.1-2025-11-13","abstract":"gpt-5.1-2025-11-13 (gpt-5.1-2025-11-13) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output image, text.","text":"gpt-5.1-2025-11-13 (gpt-5.1-2025-11-13) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output image, text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: image, text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.1-2025-11-13.html"}
{"id":"gpt-5.2","label":"gpt-5.2","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["image","text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2025-12-11","pricing":{"inputPer1M":1.75,"outputPer1M":14,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":42.2,"scores":{"math":{"value":99}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":67.18,"latencyTtftSec":162.63,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.2","title":"gpt-5.2","abstract":"gpt-5.2 (gpt-5.2) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output image, text.","text":"gpt-5.2 (gpt-5.2) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output image, text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.75 in / $14 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 42.2 · math 99 (cited from Artificial Analysis — verify at the source). Cited speed: 67.18 tokens/s · 162.63s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: image, text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2025-12-11. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.2.html"}
{"id":"gpt-5.2-2025-12-11","label":"gpt-5.2-2025-12-11","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["image","text"]},"pricing":{"inputPer1M":1.75,"outputPer1M":14,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.2-2025-12-11","title":"gpt-5.2-2025-12-11","abstract":"gpt-5.2-2025-12-11 (gpt-5.2-2025-12-11) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output image, text.","text":"gpt-5.2-2025-12-11 (gpt-5.2-2025-12-11) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output image, text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.75 in / $14 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: image, text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.2-2025-12-11.html"}
{"id":"gpt-5.2-pro","label":"gpt-5.2-pro","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2025-12-11","pricing":{"inputPer1M":21,"outputPer1M":168,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.2-pro","title":"gpt-5.2-pro","abstract":"gpt-5.2-pro (gpt-5.2-pro) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.2-pro (gpt-5.2-pro) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $21 in / $168 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2025-12-11. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.2-pro.html"}
{"id":"gpt-5.2-pro-2025-12-11","label":"gpt-5.2-pro-2025-12-11","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":21,"outputPer1M":168,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.2-pro-2025-12-11","title":"gpt-5.2-pro-2025-12-11","abstract":"gpt-5.2-pro-2025-12-11 (gpt-5.2-pro-2025-12-11) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.2-pro-2025-12-11 (gpt-5.2-pro-2025-12-11) is a chat model from openai with a 272K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $21 in / $168 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.2-pro-2025-12-11.html"}
{"id":"gpt-5.3-codex","label":"gpt-5.3-codex","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-02-05","pricing":{"inputPer1M":1.75,"outputPer1M":14,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":44.3,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":81.56,"latencyTtftSec":84.34,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.3-codex","title":"gpt-5.3-codex","abstract":"gpt-5.3-codex (gpt-5.3-codex) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.3-codex (gpt-5.3-codex) is a chat model from openai with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.75 in / $14 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 44.3 (cited from Artificial Analysis — verify at the source). Cited speed: 81.56 tokens/s · 84.34s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-02-05. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.3-codex.html"}
{"id":"gpt-5.4","label":"gpt-5.4","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-03-05","pricing":{"inputPer1M":2.5,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":51.4,"scores":{"coding":{"value":71.1}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":80.97,"latencyTtftSec":211.68,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.4","title":"gpt-5.4","abstract":"gpt-5.4 (gpt-5.4) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.4 (gpt-5.4) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 51.4 · coding 71.1 (cited from Artificial Analysis — verify at the source). Cited speed: 80.97 tokens/s · 211.68s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-03-05. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.4.html"}
{"id":"gpt-5.4-2026-03-05","label":"gpt-5.4-2026-03-05","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.4-2026-03-05","title":"gpt-5.4-2026-03-05","abstract":"gpt-5.4-2026-03-05 (gpt-5.4-2026-03-05) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.4-2026-03-05 (gpt-5.4-2026-03-05) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.4-2026-03-05.html"}
{"id":"gpt-5.4-mini","label":"gpt-5.4-mini","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-03-17","pricing":{"inputPer1M":0.75,"outputPer1M":4.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":40,"scores":{"coding":{"value":56.1}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":234.72,"latencyTtftSec":119.42,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.4-mini","title":"gpt-5.4-mini","abstract":"gpt-5.4-mini (gpt-5.4-mini) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.4-mini (gpt-5.4-mini) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.75 in / $4.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 40 · coding 56.1 (cited from Artificial Analysis — verify at the source). Cited speed: 234.72 tokens/s · 119.42s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-03-17. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.4-mini.html"}
{"id":"gpt-5.4-mini-2026-03-17","label":"gpt-5.4-mini-2026-03-17","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.75,"outputPer1M":4.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.4-mini-2026-03-17","title":"gpt-5.4-mini-2026-03-17","abstract":"gpt-5.4-mini-2026-03-17 (gpt-5.4-mini-2026-03-17) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.4-mini-2026-03-17 (gpt-5.4-mini-2026-03-17) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.75 in / $4.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.4-mini-2026-03-17.html"}
{"id":"gpt-5.4-nano","label":"gpt-5.4-nano","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-03-17","pricing":{"inputPer1M":0.2,"outputPer1M":1.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":38.2,"scores":{"coding":{"value":56.1}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":156.63,"latencyTtftSec":109.81,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.4-nano","title":"gpt-5.4-nano","abstract":"gpt-5.4-nano (gpt-5.4-nano) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.4-nano (gpt-5.4-nano) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.2 in / $1.25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 38.2 · coding 56.1 (cited from Artificial Analysis — verify at the source). Cited speed: 156.63 tokens/s · 109.81s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-03-17. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.4-nano.html"}
{"id":"gpt-5.4-nano-2026-03-17","label":"gpt-5.4-nano-2026-03-17","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.2,"outputPer1M":1.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.4-nano-2026-03-17","title":"gpt-5.4-nano-2026-03-17","abstract":"gpt-5.4-nano-2026-03-17 (gpt-5.4-nano-2026-03-17) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.4-nano-2026-03-17 (gpt-5.4-nano-2026-03-17) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.2 in / $1.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.4-nano-2026-03-17.html"}
{"id":"gpt-5.4-pro","label":"gpt-5.4-pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-03-05","pricing":{"inputPer1M":30,"outputPer1M":180,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.4-pro","title":"gpt-5.4-pro","abstract":"gpt-5.4-pro (gpt-5.4-pro) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.4-pro (gpt-5.4-pro) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $30 in / $180 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-03-05. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.4-pro.html"}
{"id":"gpt-5.4-pro-2026-03-05","label":"gpt-5.4-pro-2026-03-05","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":30,"outputPer1M":180,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.4-pro-2026-03-05","title":"gpt-5.4-pro-2026-03-05","abstract":"gpt-5.4-pro-2026-03-05 (gpt-5.4-pro-2026-03-05) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.4-pro-2026-03-05 (gpt-5.4-pro-2026-03-05) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $30 in / $180 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.4-pro-2026-03-05.html"}
{"id":"gpt-5.5","label":"gpt-5.5","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-12-01","releaseDate":"2026-04-23","pricing":{"inputPer1M":5,"outputPer1M":30,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":54.8,"scores":{"coding":{"value":74.9}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":72.7,"latencyTtftSec":54.4,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.5","title":"gpt-5.5","abstract":"gpt-5.5 (gpt-5.5) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.5 (gpt-5.5) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $30 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 54.8 · coding 74.9 (cited from Artificial Analysis — verify at the source). Cited speed: 72.7 tokens/s · 54.4s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-12-01. Release date: 2026-04-23. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.5.html"}
{"id":"gpt-5.5-2026-04-23","label":"gpt-5.5-2026-04-23","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":5,"outputPer1M":30,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.5-2026-04-23","title":"gpt-5.5-2026-04-23","abstract":"gpt-5.5-2026-04-23 (gpt-5.5-2026-04-23) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.5-2026-04-23 (gpt-5.5-2026-04-23) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $30 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.5-2026-04-23.html"}
{"id":"gpt-5.5-pro","label":"gpt-5.5-pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-12-01","releaseDate":"2026-04-23","pricing":{"inputPer1M":30,"outputPer1M":180,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.5-pro","title":"gpt-5.5-pro","abstract":"gpt-5.5-pro (gpt-5.5-pro) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.5-pro (gpt-5.5-pro) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $30 in / $180 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-12-01. Release date: 2026-04-23. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.5-pro.html"}
{"id":"gpt-5.5-pro-2026-04-23","label":"gpt-5.5-pro-2026-04-23","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":30,"outputPer1M":180,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.5-pro-2026-04-23","title":"gpt-5.5-pro-2026-04-23","abstract":"gpt-5.5-pro-2026-04-23 (gpt-5.5-pro-2026-04-23) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.5-pro-2026-04-23 (gpt-5.5-pro-2026-04-23) is a chat model from openai with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $30 in / $180 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.5-pro-2026-04-23.html"}
{"id":"gpt-5.6-luna","label":"gpt-5.6-luna","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","releaseDate":"2026-07-09","pricing":{"inputPer1M":1,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":23.8,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":113.31,"latencyTtftSec":110.62,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.6-luna","title":"gpt-5.6-luna","abstract":"gpt-5.6-luna (gpt-5.6-luna) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.6-luna (gpt-5.6-luna) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 23.8 (cited from Artificial Analysis — verify at the source). Cited speed: 113.31 tokens/s · 110.62s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Release date: 2026-07-09. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.6-luna.html"}
{"id":"gpt-5.6-sol","label":"gpt-5.6-sol","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","releaseDate":"2026-07-09","pricing":{"inputPer1M":5,"outputPer1M":30,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":58.9,"scores":{"coding":{"value":77.4}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":116.37,"latencyTtftSec":85.88,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.6-sol","title":"gpt-5.6-sol","abstract":"gpt-5.6-sol (gpt-5.6-sol) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.6-sol (gpt-5.6-sol) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $30 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 58.9 · coding 77.4 (cited from Artificial Analysis — verify at the source). Cited speed: 116.37 tokens/s · 85.88s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Release date: 2026-07-09. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.6-sol.html"}
{"id":"gpt-5.6-terra","label":"gpt-5.6-terra","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","releaseDate":"2026-07-09","pricing":{"inputPer1M":2.5,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":32.3,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":112.2,"latencyTtftSec":195.75,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-5.6-terra","title":"gpt-5.6-terra","abstract":"gpt-5.6-terra (gpt-5.6-terra) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-5.6-terra (gpt-5.6-terra) is a chat model from openai with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 32.3 (cited from Artificial Analysis — verify at the source). Cited speed: 112.2 tokens/s · 195.75s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Release date: 2026-07-09. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-5.6-terra.html"}
{"id":"gpt-6-astra","label":"gpt-6-astra","kind":"CHAT","contextWindow":922000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-04-30","releaseDate":"2026-09-04","pricing":{"inputPer1M":10,"outputPer1M":50,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":56.9,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":47.02,"latencyTtftSec":354.26,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-6-astra","title":"gpt-6-astra","abstract":"gpt-6-astra (gpt-6-astra) is a chat model from openai with a 922K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-6-astra (gpt-6-astra) is a chat model from openai with a 922K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 922,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10 in / $50 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 56.9 (cited from Artificial Analysis — verify at the source). Cited speed: 47.02 tokens/s · 354.26s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-04-30. Release date: 2026-09-04. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-6-astra.html"}
{"id":"gpt-6-luna","label":"gpt-6-luna","kind":"CHAT","contextWindow":922000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-05-18","releaseDate":"2026-09-22","pricing":{"inputPer1M":0.1,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":27.9,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":113.82,"latencyTtftSec":125.11,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-6-luna","title":"gpt-6-luna","abstract":"gpt-6-luna (gpt-6-luna) is a chat model from openai with a 922K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-6-luna (gpt-6-luna) is a chat model from openai with a 922K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 922,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 27.9 (cited from Artificial Analysis — verify at the source). Cited speed: 113.82 tokens/s · 125.11s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-05-18. Release date: 2026-09-22. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-6-luna.html"}
{"id":"gpt-6-sol","label":"gpt-6-sol","kind":"CHAT","contextWindow":922000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-04-20","releaseDate":"2026-09-22","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":44.2,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":130.28,"latencyTtftSec":91.17,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-6-sol","title":"gpt-6-sol","abstract":"gpt-6-sol (gpt-6-sol) is a chat model from openai with a 922K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-6-sol (gpt-6-sol) is a chat model from openai with a 922K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 922,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 44.2 (cited from Artificial Analysis — verify at the source). Cited speed: 130.28 tokens/s · 91.17s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-04-20. Release date: 2026-09-22. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-6-sol.html"}
{"id":"gpt-6.1-sol","label":"gpt-6.1-sol","kind":"CHAT","contextWindow":922000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-04-30","releaseDate":"2026-09-29","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":54.6,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":60.43,"latencyTtftSec":324.29,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-6.1-sol","title":"gpt-6.1-sol","abstract":"gpt-6.1-sol (gpt-6.1-sol) is a chat model from openai with a 922K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-6.1-sol (gpt-6.1-sol) is a chat model from openai with a 922K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 922,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 54.6 (cited from Artificial Analysis — verify at the source). Cited speed: 60.43 tokens/s · 324.29s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-04-30. Release date: 2026-09-29. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-6.1-sol.html"}
{"id":"gpt-6.1-terra","label":"gpt-6.1-terra","kind":"CHAT","contextWindow":922000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-06-01","releaseDate":"2026-10-26","pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":51.3,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":107.05,"latencyTtftSec":362.72,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-6.1-terra","title":"gpt-6.1-terra","abstract":"gpt-6.1-terra (gpt-6.1-terra) is a chat model from openai with a 922K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"gpt-6.1-terra (gpt-6.1-terra) is a chat model from openai with a 922K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 922,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 51.3 (cited from Artificial Analysis — verify at the source). Cited speed: 107.05 tokens/s · 362.72s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-06-01. Release date: 2026-10-26. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-6.1-terra.html"}
{"id":"gpt-audio","label":"gpt-audio","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools"],"modalities":{"input":["audio","text"],"output":["audio","text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-audio","title":"gpt-audio","abstract":"gpt-audio (gpt-audio) is a chat model from openai with a 128K-token context window; capabilities tools; input audio, text; output audio, text.","text":"gpt-audio (gpt-audio) is a chat model from openai with a 128K-token context window; capabilities tools; input audio, text; output audio, text. Vendor: openai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-audio.html"}
{"id":"gpt-live-1","label":"gpt-live-1","kind":"CHAT","capabilities":["tools"],"modalities":{"input":["audio","text"],"output":["audio","text"]},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-live-1","title":"gpt-live-1","abstract":"gpt-live-1 (gpt-live-1) is a chat model from openai; capabilities tools; input audio, text; output audio, text.","text":"gpt-live-1 (gpt-live-1) is a chat model from openai; capabilities tools; input audio, text; output audio, text. Vendor: openai. Kind: CHAT. Input modalities: audio, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-live-1.html"}
{"id":"o3","label":"o3","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-05","releaseDate":"2025-04-16","pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":20.2,"scores":{"math":{"value":88.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":122.75,"latencyTtftSec":7.87,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/o3","title":"o3","abstract":"o3 (o3) is a chat model from openai with a 200K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"o3 (o3) is a chat model from openai with a 200K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 20.2 · math 88.3 (cited from Artificial Analysis — verify at the source). Cited speed: 122.75 tokens/s · 7.87s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-05. Release date: 2025-04-16. Sources: artificial-analysis, committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/o3.html"}
{"id":"o3-2025-04-16","label":"o3-2025-04-16","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/o3-2025-04-16","title":"o3-2025-04-16","abstract":"o3-2025-04-16 (o3-2025-04-16) is a chat model from openai with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"o3-2025-04-16 (o3-2025-04-16) is a chat model from openai with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/o3-2025-04-16.html"}
{"id":"o3-pro","label":"o3-pro","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-05","releaseDate":"2025-06-10","pricing":{"inputPer1M":20,"outputPer1M":80,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":21.9,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/o3-pro","title":"o3-pro","abstract":"o3-pro (o3-pro) is a chat model from openai with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"o3-pro (o3-pro) is a chat model from openai with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $20 in / $80 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 21.9 (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-05. Release date: 2025-06-10. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/o3-pro.html"}
{"id":"o3-pro-2025-06-10","label":"o3-pro-2025-06-10","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":20,"outputPer1M":80,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/o3-pro-2025-06-10","title":"o3-pro-2025-06-10","abstract":"o3-pro-2025-06-10 (o3-pro-2025-06-10) is a chat model from openai with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"o3-pro-2025-06-10 (o3-pro-2025-06-10) is a chat model from openai with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $20 in / $80 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/o3-pro-2025-06-10.html"}
{"id":"text-embedding-3-large","label":"text-embedding-3-large","kind":"EMBEDDING","contextWindow":8191,"embeddingDimensions":3072,"openWeights":false,"modalities":{"input":["text"],"output":["embedding"]},"knowledgeCutoff":"2024-01","releaseDate":"2024-01-25","pricing":{"inputPer1M":0.13,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","openai-api","overrides"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/text-embedding-3-large","title":"text-embedding-3-large","abstract":"text-embedding-3-large (text-embedding-3-large) is a embedding model from openai with a 8.2K-token context window; proprietary (API-only); 3,072-dimensional embeddings; input text; output embedding.","text":"text-embedding-3-large (text-embedding-3-large) is a embedding model from openai with a 8.2K-token context window; proprietary (API-only); 3,072-dimensional embeddings; input text; output embedding. Vendor: openai. Kind: EMBEDDING. Context window: 8,191 tokens. Embedding dimensions: 3,072. Indicative price (US list): $0.13 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Weights: Proprietary (API-only). Knowledge cutoff: 2024-01. Release date: 2024-01-25. Sources: litellm, models-dev, openai-api, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/text-embedding-3-large.html"}
{"id":"text-embedding-3-small","label":"text-embedding-3-small","kind":"EMBEDDING","contextWindow":8191,"embeddingDimensions":1536,"openWeights":false,"modalities":{"input":["text"],"output":["embedding"]},"knowledgeCutoff":"2024-01","releaseDate":"2024-01-25","pricing":{"inputPer1M":0.02,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","openai-api","overrides"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/text-embedding-3-small","title":"text-embedding-3-small","abstract":"text-embedding-3-small (text-embedding-3-small) is a embedding model from openai with a 8.2K-token context window; proprietary (API-only); 1,536-dimensional embeddings; input text; output embedding.","text":"text-embedding-3-small (text-embedding-3-small) is a embedding model from openai with a 8.2K-token context window; proprietary (API-only); 1,536-dimensional embeddings; input text; output embedding. Vendor: openai. Kind: EMBEDDING. Context window: 8,191 tokens. Embedding dimensions: 1,536. Indicative price (US list): $0.02 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Weights: Proprietary (API-only). Knowledge cutoff: 2024-01. Release date: 2024-01-25. Sources: litellm, models-dev, openai-api, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/text-embedding-3-small.html"}
{"id":"text-embedding-ada-002","label":"text-embedding-ada-002","kind":"EMBEDDING","contextWindow":8191,"embeddingDimensions":1536,"openWeights":false,"modalities":{"input":["text"],"output":["embedding"]},"knowledgeCutoff":"2022-12","releaseDate":"2022-12-15","pricing":{"inputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/text-embedding-ada-002","title":"text-embedding-ada-002","abstract":"text-embedding-ada-002 (text-embedding-ada-002) is a embedding model from openai with a 8.2K-token context window; proprietary (API-only); 1,536-dimensional embeddings; input text; output embedding.","text":"text-embedding-ada-002 (text-embedding-ada-002) is a embedding model from openai with a 8.2K-token context window; proprietary (API-only); 1,536-dimensional embeddings; input text; output embedding. Vendor: openai. Kind: EMBEDDING. Context window: 8,191 tokens. Embedding dimensions: 1,536. Indicative price (US list): $0.1 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Weights: Proprietary (API-only). Knowledge cutoff: 2022-12. Release date: 2022-12-15. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/text-embedding-ada-002.html"}
{"id":"chatgpt-image-latest","label":"chatgpt-image-latest","kind":"IMAGE","capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image","text"]},"pricing":{"inputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/chatgpt-image-latest","title":"chatgpt-image-latest","abstract":"chatgpt-image-latest (chatgpt-image-latest) is a image model from openai; proprietary (API-only); capabilities vision; input image, text; output image, text.","text":"chatgpt-image-latest (chatgpt-image-latest) is a image model from openai; proprietary (API-only); capabilities vision; input image, text; output image, text. Vendor: openai. Kind: IMAGE. Indicative price (US list): $5 in per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: vision. Weights: Proprietary (API-only). Sources: committed, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/chatgpt-image-latest.html"}
{"id":"gpt-image-1-mini","label":"gpt-image-1-mini","kind":"IMAGE","capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image","text"]},"releaseDate":"2025-09-26","pricing":{"inputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-image-1-mini","title":"gpt-image-1-mini","abstract":"gpt-image-1-mini (gpt-image-1-mini) is a image model from openai; proprietary (API-only); capabilities vision; input image, text; output image, text.","text":"gpt-image-1-mini (gpt-image-1-mini) is a image model from openai; proprietary (API-only); capabilities vision; input image, text; output image, text. Vendor: openai. Kind: IMAGE. Indicative price (US list): $2 in per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2025-09-26. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-image-1-mini.html"}
{"id":"gpt-image-1.5","label":"gpt-image-1.5","kind":"IMAGE","capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["image","text"]},"releaseDate":"2025-11-25","pricing":{"inputPer1M":5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-image-1.5","title":"gpt-image-1.5","abstract":"gpt-image-1.5 (gpt-image-1.5) is a image model from openai; proprietary (API-only); capabilities vision; input image, pdf, text; output image, text.","text":"gpt-image-1.5 (gpt-image-1.5) is a image model from openai; proprietary (API-only); capabilities vision; input image, pdf, text; output image, text. Vendor: openai. Kind: IMAGE. Indicative price (US list): $5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: image, text. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2025-11-25. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-image-1.5.html"}
{"id":"gpt-image-2","label":"gpt-image-2","kind":"IMAGE","capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["image"]},"releaseDate":"2026-04-21","pricing":{"inputPer1M":5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-image-2","title":"gpt-image-2","abstract":"gpt-image-2 (gpt-image-2) is a image model from openai; proprietary (API-only); capabilities vision; input image, pdf, text; output image.","text":"gpt-image-2 (gpt-image-2) is a image model from openai; proprietary (API-only); capabilities vision; input image, pdf, text; output image. Vendor: openai. Kind: IMAGE. Indicative price (US list): $5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: image. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-04-21. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-image-2.html"}
{"id":"gpt-image-2-2026-04-21","label":"gpt-image-2-2026-04-21","kind":"IMAGE","capabilities":["vision"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-image-2-2026-04-21","title":"gpt-image-2-2026-04-21","abstract":"gpt-image-2-2026-04-21 (gpt-image-2-2026-04-21) is a image model from openai; capabilities vision; input image, pdf, text.","text":"gpt-image-2-2026-04-21 (gpt-image-2-2026-04-21) is a image model from openai; capabilities vision; input image, pdf, text. Vendor: openai. Kind: IMAGE. Indicative price (US list): $5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: vision. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-image-2-2026-04-21.html"}
{"id":"gpt-image-2.5-flare","label":"gpt-image-2.5-flare","kind":"IMAGE","capabilities":["vision"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-image-2.5-flare","title":"gpt-image-2.5-flare","abstract":"gpt-image-2.5-flare (gpt-image-2.5-flare) is a image model from openai; capabilities vision; input image, pdf, text.","text":"gpt-image-2.5-flare (gpt-image-2.5-flare) is a image model from openai; capabilities vision; input image, pdf, text. Vendor: openai. Kind: IMAGE. Indicative price (US list): $5 in per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: vision. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-image-2.5-flare.html"}
{"id":"gpt-image-2.5-flare-2026-09-08","label":"gpt-image-2.5-flare-2026-09-08","kind":"IMAGE","capabilities":["vision"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-image-2.5-flare-2026-09-08","title":"gpt-image-2.5-flare-2026-09-08","abstract":"gpt-image-2.5-flare-2026-09-08 (gpt-image-2.5-flare-2026-09-08) is a image model from openai; capabilities vision; input image, pdf, text.","text":"gpt-image-2.5-flare-2026-09-08 (gpt-image-2.5-flare-2026-09-08) is a image model from openai; capabilities vision; input image, pdf, text. Vendor: openai. Kind: IMAGE. Indicative price (US list): $5 in per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: vision. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-image-2.5-flare-2026-09-08.html"}
{"id":"gpt-image-2.5-sunburst","label":"gpt-image-2.5-sunburst","kind":"IMAGE","capabilities":["vision"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-image-2.5-sunburst","title":"gpt-image-2.5-sunburst","abstract":"gpt-image-2.5-sunburst (gpt-image-2.5-sunburst) is a image model from openai; capabilities vision; input image, pdf, text.","text":"gpt-image-2.5-sunburst (gpt-image-2.5-sunburst) is a image model from openai; capabilities vision; input image, pdf, text. Vendor: openai. Kind: IMAGE. Indicative price (US list): $5 in per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: vision. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-image-2.5-sunburst.html"}
{"id":"gpt-image-2.5-sunburst-2026-09-08","label":"gpt-image-2.5-sunburst-2026-09-08","kind":"IMAGE","capabilities":["vision"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-image-2.5-sunburst-2026-09-08","title":"gpt-image-2.5-sunburst-2026-09-08","abstract":"gpt-image-2.5-sunburst-2026-09-08 (gpt-image-2.5-sunburst-2026-09-08) is a image model from openai; capabilities vision; input image, pdf, text.","text":"gpt-image-2.5-sunburst-2026-09-08 (gpt-image-2.5-sunburst-2026-09-08) is a image model from openai; capabilities vision; input image, pdf, text. Vendor: openai. Kind: IMAGE. Indicative price (US list): $5 in per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: vision. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-image-2.5-sunburst-2026-09-08.html"}
{"id":"gpt-image-2.6-flare","label":"gpt-image-2.6-flare","kind":"IMAGE","capabilities":["vision"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-11-05"},"sources":["litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-image-2.6-flare","title":"gpt-image-2.6-flare","abstract":"gpt-image-2.6-flare (gpt-image-2.6-flare) is a image model from openai; capabilities vision; input image, pdf, text.","text":"gpt-image-2.6-flare (gpt-image-2.6-flare) is a image model from openai; capabilities vision; input image, pdf, text. Vendor: openai. Kind: IMAGE. Indicative price (US list): $5 in per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: vision. Sources: litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-image-2.6-flare.html"}
{"id":"gpt-image-2.6-sunburst","label":"gpt-image-2.6-sunburst","kind":"IMAGE","capabilities":["vision"],"modalities":{"input":["image","pdf","text"]},"pricing":{"inputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-11-05"},"sources":["litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-image-2.6-sunburst","title":"gpt-image-2.6-sunburst","abstract":"gpt-image-2.6-sunburst (gpt-image-2.6-sunburst) is a image model from openai; capabilities vision; input image, pdf, text.","text":"gpt-image-2.6-sunburst (gpt-image-2.6-sunburst) is a image model from openai; capabilities vision; input image, pdf, text. Vendor: openai. Kind: IMAGE. Indicative price (US list): $5 in per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Capabilities: vision. Sources: litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-image-2.6-sunburst.html"}
{"id":"gpt-4o-mini-transcribe","label":"gpt-4o-mini-transcribe","kind":"TRANSCRIPTION","contextWindow":16000,"maxOutputTokens":2000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":1.25,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-mini-transcribe","title":"gpt-4o-mini-transcribe","abstract":"gpt-4o-mini-transcribe (gpt-4o-mini-transcribe) is a transcription model from openai with a 16K-token context window; input text.","text":"gpt-4o-mini-transcribe (gpt-4o-mini-transcribe) is a transcription model from openai with a 16K-token context window; input text. Vendor: openai. Kind: TRANSCRIPTION. Context window: 16,000 tokens. Max output tokens: 2,000 tokens. Indicative price (US list): $1.25 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-mini-transcribe.html"}
{"id":"gpt-4o-mini-transcribe-2025-03-20","label":"gpt-4o-mini-transcribe-2025-03-20","kind":"TRANSCRIPTION","contextWindow":16000,"maxOutputTokens":2000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":1.25,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-mini-transcribe-2025-03-20","title":"gpt-4o-mini-transcribe-2025-03-20","abstract":"gpt-4o-mini-transcribe-2025-03-20 (gpt-4o-mini-transcribe-2025-03-20) is a transcription model from openai with a 16K-token context window; input text.","text":"gpt-4o-mini-transcribe-2025-03-20 (gpt-4o-mini-transcribe-2025-03-20) is a transcription model from openai with a 16K-token context window; input text. Vendor: openai. Kind: TRANSCRIPTION. Context window: 16,000 tokens. Max output tokens: 2,000 tokens. Indicative price (US list): $1.25 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-mini-transcribe-2025-03-20.html"}
{"id":"gpt-4o-mini-transcribe-2025-12-15","label":"gpt-4o-mini-transcribe-2025-12-15","kind":"TRANSCRIPTION","contextWindow":16000,"maxOutputTokens":2000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":1.25,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-mini-transcribe-2025-12-15","title":"gpt-4o-mini-transcribe-2025-12-15","abstract":"gpt-4o-mini-transcribe-2025-12-15 (gpt-4o-mini-transcribe-2025-12-15) is a transcription model from openai with a 16K-token context window; input text.","text":"gpt-4o-mini-transcribe-2025-12-15 (gpt-4o-mini-transcribe-2025-12-15) is a transcription model from openai with a 16K-token context window; input text. Vendor: openai. Kind: TRANSCRIPTION. Context window: 16,000 tokens. Max output tokens: 2,000 tokens. Indicative price (US list): $1.25 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-mini-transcribe-2025-12-15.html"}
{"id":"gpt-4o-transcribe","label":"gpt-4o-transcribe","kind":"TRANSCRIPTION","contextWindow":16000,"maxOutputTokens":2000,"modalities":{"input":["text"]},"status":"DEPRECATED","deprecated":true,"pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","openai-api","overrides"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-transcribe","title":"gpt-4o-transcribe","abstract":"gpt-4o-transcribe (gpt-4o-transcribe) is a transcription model from openai with a 16K-token context window; input text.","text":"gpt-4o-transcribe (gpt-4o-transcribe) is a transcription model from openai with a 16K-token context window; input text. Vendor: openai. Kind: TRANSCRIPTION. Context window: 16,000 tokens. Max output tokens: 2,000 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Status: DEPRECATED. Sources: litellm, openai-api, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-transcribe.html"}
{"id":"gpt-4o-transcribe-diarize","label":"gpt-4o-transcribe-diarize","kind":"TRANSCRIPTION","contextWindow":16000,"maxOutputTokens":2000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-transcribe-diarize","title":"gpt-4o-transcribe-diarize","abstract":"gpt-4o-transcribe-diarize (gpt-4o-transcribe-diarize) is a transcription model from openai with a 16K-token context window; input text.","text":"gpt-4o-transcribe-diarize (gpt-4o-transcribe-diarize) is a transcription model from openai with a 16K-token context window; input text. Vendor: openai. Kind: TRANSCRIPTION. Context window: 16,000 tokens. Max output tokens: 2,000 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-transcribe-diarize.html"}
{"id":"gpt-live-transcribe","label":"gpt-live-transcribe","kind":"TRANSCRIPTION","openWeights":false,"modalities":{"input":["audio","text"],"output":["text"]},"status":"GA","sources":["openai-api","overrides"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-live-transcribe","title":"gpt-live-transcribe","abstract":"gpt-live-transcribe (gpt-live-transcribe) is a transcription model from openai; proprietary (API-only); input audio, text; output text.","text":"gpt-live-transcribe (gpt-live-transcribe) is a transcription model from openai; proprietary (API-only); input audio, text; output text. Vendor: openai. Kind: TRANSCRIPTION. Input modalities: audio, text. Output modalities: text. Weights: Proprietary (API-only). Status: GA. Sources: openai-api, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-live-transcribe.html"}
{"id":"gpt-realtime-whisper","label":"gpt-realtime-whisper","kind":"TRANSCRIPTION","modalities":{"input":["audio","text"],"output":["text"]},"status":"DEPRECATED","deprecated":true,"sources":["openai-api","overrides"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-realtime-whisper","title":"gpt-realtime-whisper","abstract":"gpt-realtime-whisper (gpt-realtime-whisper) is a transcription model from openai; input audio, text; output text.","text":"gpt-realtime-whisper (gpt-realtime-whisper) is a transcription model from openai; input audio, text; output text. Vendor: openai. Kind: TRANSCRIPTION. Input modalities: audio, text. Output modalities: text. Status: DEPRECATED. Sources: openai-api, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-realtime-whisper.html"}
{"id":"gpt-transcribe","label":"gpt-transcribe","kind":"TRANSCRIPTION","openWeights":false,"modalities":{"input":["audio","text"],"output":["text"]},"status":"GA","sources":["openai-api","overrides"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-transcribe","title":"gpt-transcribe","abstract":"gpt-transcribe (gpt-transcribe) is a transcription model from openai; proprietary (API-only); input audio, text; output text.","text":"gpt-transcribe (gpt-transcribe) is a transcription model from openai; proprietary (API-only); input audio, text; output text. Vendor: openai. Kind: TRANSCRIPTION. Input modalities: audio, text. Output modalities: text. Weights: Proprietary (API-only). Status: GA. Sources: openai-api, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-transcribe.html"}
{"id":"whisper-1","label":"whisper-1","kind":"TRANSCRIPTION","modalities":{"input":["text"]},"sources":["committed","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/whisper-1","title":"whisper-1","abstract":"whisper-1 (whisper-1) is a transcription model from openai; input text.","text":"whisper-1 (whisper-1) is a transcription model from openai; input text. Vendor: openai. Kind: TRANSCRIPTION. Input modalities: text. Sources: committed, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/whisper-1.html"}
{"id":"gpt-4o-mini-tts","label":"gpt-4o-mini-tts","kind":"SPEECH","modalities":{"input":["audio","text"],"output":["audio"]},"pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-mini-tts","title":"gpt-4o-mini-tts","abstract":"gpt-4o-mini-tts (gpt-4o-mini-tts) is a speech model from openai; input audio, text; output audio.","text":"gpt-4o-mini-tts (gpt-4o-mini-tts) is a speech model from openai; input audio, text; output audio. Vendor: openai. Kind: SPEECH. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio. Sources: committed, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-mini-tts.html"}
{"id":"gpt-4o-mini-tts-2025-03-20","label":"gpt-4o-mini-tts-2025-03-20","kind":"SPEECH","modalities":{"input":["audio","text"],"output":["audio"]},"pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-mini-tts-2025-03-20","title":"gpt-4o-mini-tts-2025-03-20","abstract":"gpt-4o-mini-tts-2025-03-20 (gpt-4o-mini-tts-2025-03-20) is a speech model from openai; input audio, text; output audio.","text":"gpt-4o-mini-tts-2025-03-20 (gpt-4o-mini-tts-2025-03-20) is a speech model from openai; input audio, text; output audio. Vendor: openai. Kind: SPEECH. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio. Sources: committed, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-mini-tts-2025-03-20.html"}
{"id":"gpt-4o-mini-tts-2025-12-15","label":"gpt-4o-mini-tts-2025-12-15","kind":"SPEECH","modalities":{"input":["audio","text"],"output":["audio"]},"pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-4o-mini-tts-2025-12-15","title":"gpt-4o-mini-tts-2025-12-15","abstract":"gpt-4o-mini-tts-2025-12-15 (gpt-4o-mini-tts-2025-12-15) is a speech model from openai; input audio, text; output audio.","text":"gpt-4o-mini-tts-2025-12-15 (gpt-4o-mini-tts-2025-12-15) is a speech model from openai; input audio, text; output audio. Vendor: openai. Kind: SPEECH. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio. Sources: committed, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-4o-mini-tts-2025-12-15.html"}
{"id":"gpt-audio-1.5","label":"gpt-audio-1.5","kind":"SPEECH","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools"],"modalities":{"input":["audio","text"],"output":["audio","text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-audio-1.5","title":"gpt-audio-1.5","abstract":"gpt-audio-1.5 (gpt-audio-1.5) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, text; output audio, text.","text":"gpt-audio-1.5 (gpt-audio-1.5) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-audio-1.5.html"}
{"id":"gpt-audio-2025-08-28","label":"gpt-audio-2025-08-28","kind":"SPEECH","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools"],"modalities":{"input":["audio","text"],"output":["audio","text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-audio-2025-08-28","title":"gpt-audio-2025-08-28","abstract":"gpt-audio-2025-08-28 (gpt-audio-2025-08-28) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, text; output audio, text.","text":"gpt-audio-2025-08-28 (gpt-audio-2025-08-28) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-audio-2025-08-28.html"}
{"id":"gpt-audio-mini","label":"gpt-audio-mini","kind":"SPEECH","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools"],"modalities":{"input":["audio","text"],"output":["audio","text"]},"pricing":{"inputPer1M":0.6,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-audio-mini","title":"gpt-audio-mini","abstract":"gpt-audio-mini (gpt-audio-mini) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, text; output audio, text.","text":"gpt-audio-mini (gpt-audio-mini) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.6 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-audio-mini.html"}
{"id":"gpt-audio-mini-2025-12-15","label":"gpt-audio-mini-2025-12-15","kind":"SPEECH","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools"],"modalities":{"input":["audio","text"],"output":["audio","text"]},"pricing":{"inputPer1M":0.6,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-audio-mini-2025-12-15","title":"gpt-audio-mini-2025-12-15","abstract":"gpt-audio-mini-2025-12-15 (gpt-audio-mini-2025-12-15) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, text; output audio, text.","text":"gpt-audio-mini-2025-12-15 (gpt-audio-mini-2025-12-15) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.6 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-audio-mini-2025-12-15.html"}
{"id":"gpt-realtime","label":"gpt-realtime","kind":"SPEECH","contextWindow":32000,"maxOutputTokens":4096,"capabilities":["tools"],"modalities":{"input":["audio","image","text"],"output":["audio","text"]},"pricing":{"inputPer1M":4,"outputPer1M":16,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-realtime","title":"gpt-realtime","abstract":"gpt-realtime (gpt-realtime) is a speech model from openai with a 32K-token context window; capabilities tools; input audio, image, text; output audio, text.","text":"gpt-realtime (gpt-realtime) is a speech model from openai with a 32K-token context window; capabilities tools; input audio, image, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 32,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $4 in / $16 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-realtime.html"}
{"id":"gpt-realtime-1.5","label":"gpt-realtime-1.5","kind":"SPEECH","contextWindow":32000,"maxOutputTokens":4096,"capabilities":["tools"],"modalities":{"input":["audio","image","text"],"output":["audio","text"]},"pricing":{"inputPer1M":4,"outputPer1M":16,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-realtime-1.5","title":"gpt-realtime-1.5","abstract":"gpt-realtime-1.5 (gpt-realtime-1.5) is a speech model from openai with a 32K-token context window; capabilities tools; input audio, image, text; output audio, text.","text":"gpt-realtime-1.5 (gpt-realtime-1.5) is a speech model from openai with a 32K-token context window; capabilities tools; input audio, image, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 32,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $4 in / $16 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-realtime-1.5.html"}
{"id":"gpt-realtime-2","label":"gpt-realtime-2","kind":"SPEECH","contextWindow":32000,"maxOutputTokens":4096,"capabilities":["tools"],"modalities":{"input":["audio","image","text"],"output":["audio","text"]},"pricing":{"inputPer1M":4,"outputPer1M":16,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-realtime-2","title":"gpt-realtime-2","abstract":"gpt-realtime-2 (gpt-realtime-2) is a speech model from openai with a 32K-token context window; capabilities tools; input audio, image, text; output audio, text.","text":"gpt-realtime-2 (gpt-realtime-2) is a speech model from openai with a 32K-token context window; capabilities tools; input audio, image, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 32,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $4 in / $16 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-realtime-2.html"}
{"id":"gpt-realtime-2.1","label":"gpt-realtime-2.1","kind":"SPEECH","contextWindow":128000,"maxOutputTokens":32000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","text"],"output":["audio","text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2026-07-06","pricing":{"inputPer1M":4,"outputPer1M":24,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-realtime-2.1","title":"gpt-realtime-2.1","abstract":"gpt-realtime-2.1 (gpt-realtime-2.1) is a speech model from openai with a 128K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text; output audio, text.","text":"gpt-realtime-2.1 (gpt-realtime-2.1) is a speech model from openai with a 128K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 128,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $4 in / $24 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: audio, text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2026-07-06. Sources: committed, litellm, models-dev, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-realtime-2.1.html"}
{"id":"gpt-realtime-2.1-mini","label":"gpt-realtime-2.1-mini","kind":"SPEECH","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools","reasoning"],"modalities":{"input":["audio","image","text"],"output":["audio","text"]},"pricing":{"inputPer1M":0.6,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-realtime-2.1-mini","title":"gpt-realtime-2.1-mini","abstract":"gpt-realtime-2.1-mini (gpt-realtime-2.1-mini) is a speech model from openai with a 128K-token context window; capabilities tools, reasoning; input audio, image, text; output audio, text.","text":"gpt-realtime-2.1-mini (gpt-realtime-2.1-mini) is a speech model from openai with a 128K-token context window; capabilities tools, reasoning; input audio, image, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.6 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: audio, text. Capabilities: tools, reasoning. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-realtime-2.1-mini.html"}
{"id":"gpt-realtime-2025-08-28","label":"gpt-realtime-2025-08-28","kind":"SPEECH","contextWindow":32000,"maxOutputTokens":4096,"capabilities":["tools"],"modalities":{"input":["audio","image","text"],"output":["audio","text"]},"pricing":{"inputPer1M":4,"outputPer1M":16,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-realtime-2025-08-28","title":"gpt-realtime-2025-08-28","abstract":"gpt-realtime-2025-08-28 (gpt-realtime-2025-08-28) is a speech model from openai with a 32K-token context window; capabilities tools; input audio, image, text; output audio, text.","text":"gpt-realtime-2025-08-28 (gpt-realtime-2025-08-28) is a speech model from openai with a 32K-token context window; capabilities tools; input audio, image, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 32,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $4 in / $16 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-realtime-2025-08-28.html"}
{"id":"gpt-realtime-mini","label":"gpt-realtime-mini","kind":"SPEECH","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools"],"modalities":{"input":["audio","image","text"],"output":["audio","text"]},"pricing":{"inputPer1M":0.6,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-realtime-mini","title":"gpt-realtime-mini","abstract":"gpt-realtime-mini (gpt-realtime-mini) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, image, text; output audio, text.","text":"gpt-realtime-mini (gpt-realtime-mini) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, image, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.6 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-realtime-mini.html"}
{"id":"gpt-realtime-mini-2025-12-15","label":"gpt-realtime-mini-2025-12-15","kind":"SPEECH","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools"],"modalities":{"input":["audio","image","text"],"output":["audio","text"]},"pricing":{"inputPer1M":0.6,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-realtime-mini-2025-12-15","title":"gpt-realtime-mini-2025-12-15","abstract":"gpt-realtime-mini-2025-12-15 (gpt-realtime-mini-2025-12-15) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, image, text; output audio, text.","text":"gpt-realtime-mini-2025-12-15 (gpt-realtime-mini-2025-12-15) is a speech model from openai with a 128K-token context window; capabilities tools; input audio, image, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.6 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: audio, text. Capabilities: tools. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-realtime-mini-2025-12-15.html"}
{"id":"gpt-realtime-translate","label":"gpt-realtime-translate","kind":"SPEECH","contextWindow":16000,"maxOutputTokens":2000,"modalities":{"input":["audio","text"],"output":["audio","text"]},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/gpt-realtime-translate","title":"gpt-realtime-translate","abstract":"gpt-realtime-translate (gpt-realtime-translate) is a speech model from openai with a 16K-token context window; input audio, text; output audio, text.","text":"gpt-realtime-translate (gpt-realtime-translate) is a speech model from openai with a 16K-token context window; input audio, text; output audio, text. Vendor: openai. Kind: SPEECH. Context window: 16,000 tokens. Max output tokens: 2,000 tokens. Input modalities: audio, text. Output modalities: audio, text. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/gpt-realtime-translate.html"}
{"id":"tts-1","label":"tts-1","kind":"SPEECH","modalities":{"input":["text"]},"sources":["committed","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/tts-1","title":"tts-1","abstract":"tts-1 (tts-1) is a speech model from openai; input text.","text":"tts-1 (tts-1) is a speech model from openai; input text. Vendor: openai. Kind: SPEECH. Input modalities: text. Sources: committed, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/tts-1.html"}
{"id":"tts-1-1106","label":"tts-1-1106","kind":"SPEECH","modalities":{"input":["text"]},"sources":["committed","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/tts-1-1106","title":"tts-1-1106","abstract":"tts-1-1106 (tts-1-1106) is a speech model from openai; input text.","text":"tts-1-1106 (tts-1-1106) is a speech model from openai; input text. Vendor: openai. Kind: SPEECH. Input modalities: text. Sources: committed, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/tts-1-1106.html"}
{"id":"tts-1-hd","label":"tts-1-hd","kind":"SPEECH","modalities":{"input":["text"]},"sources":["committed","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/tts-1-hd","title":"tts-1-hd","abstract":"tts-1-hd (tts-1-hd) is a speech model from openai; input text.","text":"tts-1-hd (tts-1-hd) is a speech model from openai; input text. Vendor: openai. Kind: SPEECH. Input modalities: text. Sources: committed, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/tts-1-hd.html"}
{"id":"tts-1-hd-1106","label":"tts-1-hd-1106","kind":"SPEECH","modalities":{"input":["text"]},"sources":["committed","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/tts-1-hd-1106","title":"tts-1-hd-1106","abstract":"tts-1-hd-1106 (tts-1-hd-1106) is a speech model from openai; input text.","text":"tts-1-hd-1106 (tts-1-hd-1106) is a speech model from openai; input text. Vendor: openai. Kind: SPEECH. Input modalities: text. Sources: committed, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/tts-1-hd-1106.html"}
{"id":"sora-2","label":"sora-2","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/sora-2","title":"sora-2","abstract":"sora-2 (sora-2) is a video model from openai; input image, text; output video.","text":"sora-2 (sora-2) is a video model from openai; input image, text; output video. Vendor: openai. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/sora-2.html"}
{"id":"sora-2-pro","label":"sora-2-pro","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/sora-2-pro","title":"sora-2-pro","abstract":"sora-2-pro (sora-2-pro) is a video model from openai; input image, text; output video.","text":"sora-2-pro (sora-2-pro) is a video model from openai; input image, text; output video. Vendor: openai. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/sora-2-pro.html"}
{"id":"omni-moderation-2024-09-26","label":"omni-moderation-2024-09-26","kind":"MODERATION","contextWindow":32768,"modalities":{"input":["text"]},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/omni-moderation-2024-09-26","title":"omni-moderation-2024-09-26","abstract":"omni-moderation-2024-09-26 (omni-moderation-2024-09-26) is a moderation model from openai with a 32.8K-token context window; input text.","text":"omni-moderation-2024-09-26 (omni-moderation-2024-09-26) is a moderation model from openai with a 32.8K-token context window; input text. Vendor: openai. Kind: MODERATION. Context window: 32,768 tokens. Input modalities: text. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/omni-moderation-2024-09-26.html"}
{"id":"omni-moderation-latest","label":"omni-moderation-latest","kind":"MODERATION","contextWindow":32768,"modalities":{"input":["text"]},"sources":["committed","litellm","openai-api"],"lastVerified":"2026-11-05","vendor":"openai","ref":"openai/omni-moderation-latest","title":"omni-moderation-latest","abstract":"omni-moderation-latest (omni-moderation-latest) is a moderation model from openai with a 32.8K-token context window; input text.","text":"omni-moderation-latest (omni-moderation-latest) is a moderation model from openai with a 32.8K-token context window; input text. Vendor: openai. Kind: MODERATION. Context window: 32,768 tokens. Input modalities: text. Sources: committed, litellm, openai-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openai/omni-moderation-latest.html"}
{"id":"~anthropic/claude-fable-latest","label":"Anthropic: Claude Fable Latest","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":10,"outputPer1M":50,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~anthropic/claude-fable-latest","title":"Anthropic: Claude Fable Latest","abstract":"Anthropic: Claude Fable Latest (~anthropic/claude-fable-latest) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic: Claude Fable Latest (~anthropic/claude-fable-latest) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10 in / $50 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-fable-latest.html"}
{"id":"~anthropic/claude-haiku-latest","label":"Anthropic Claude Haiku Latest","kind":"CHAT","contextWindow":200000,"maxOutputTokens":64000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~anthropic/claude-haiku-latest","title":"Anthropic Claude Haiku Latest","abstract":"Anthropic Claude Haiku Latest (~anthropic/claude-haiku-latest) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic Claude Haiku Latest (~anthropic/claude-haiku-latest) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-haiku-latest.html"}
{"id":"~anthropic/claude-opus-latest","label":"Anthropic: Claude Opus Latest","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~anthropic/claude-opus-latest","title":"Anthropic: Claude Opus Latest","abstract":"Anthropic: Claude Opus Latest (~anthropic/claude-opus-latest) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic: Claude Opus Latest (~anthropic/claude-opus-latest) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-latest.html"}
{"id":"~anthropic/claude-sonnet-latest","label":"Anthropic Claude Sonnet Latest","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-01-31","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~anthropic/claude-sonnet-latest","title":"Anthropic Claude Sonnet Latest","abstract":"Anthropic Claude Sonnet Latest (~anthropic/claude-sonnet-latest) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic Claude Sonnet Latest (~anthropic/claude-sonnet-latest) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-01-31. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-sonnet-latest.html"}
{"id":"~deepseek/deepseek-flash-latest","label":"DeepSeek: DeepSeek Flash Latest","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~deepseek/deepseek-flash-latest","title":"DeepSeek: DeepSeek Flash Latest","abstract":"DeepSeek: DeepSeek Flash Latest (~deepseek/deepseek-flash-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text.","text":"DeepSeek: DeepSeek Flash Latest (~deepseek/deepseek-flash-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-flash-latest.html"}
{"id":"~deepseek/deepseek-pro-latest","label":"DeepSeek: DeepSeek Pro Latest","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":384000,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"pricing":{"inputPer1M":1.32,"outputPer1M":3.96,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~deepseek/deepseek-pro-latest","title":"DeepSeek: DeepSeek Pro Latest","abstract":"DeepSeek: DeepSeek Pro Latest (~deepseek/deepseek-pro-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"DeepSeek: DeepSeek Pro Latest (~deepseek/deepseek-pro-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 384,000 tokens. Indicative price (US list): $1.32 in / $3.96 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-pro-latest.html"}
{"id":"~deepseek/deepseek-v4-flash-latest","label":"DeepSeek: DeepSeek V4 Flash Latest","kind":"CHAT","contextWindow":1310720,"maxOutputTokens":943718,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"pricing":{"inputPer1M":0.04,"outputPer1M":0.64,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~deepseek/deepseek-v4-flash-latest","title":"DeepSeek: DeepSeek V4 Flash Latest","abstract":"DeepSeek: DeepSeek V4 Flash Latest (~deepseek/deepseek-v4-flash-latest) is a chat model from openrouter with a 1.3M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"DeepSeek: DeepSeek V4 Flash Latest (~deepseek/deepseek-v4-flash-latest) is a chat model from openrouter with a 1.3M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,310,720 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $0.04 in / $0.64 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v4-flash-latest.html"}
{"id":"~google/gemini-flash-latest","label":"Google Gemini Flash Latest","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01-01","pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~google/gemini-flash-latest","title":"Google Gemini Flash Latest","abstract":"Google Gemini Flash Latest (~google/gemini-flash-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Google Gemini Flash Latest (~google/gemini-flash-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01-01. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-flash-latest.html"}
{"id":"~google/gemini-pro-latest","label":"Google Gemini Pro Latest","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~google/gemini-pro-latest","title":"Google Gemini Pro Latest","abstract":"Google Gemini Pro Latest (~google/gemini-pro-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Google Gemini Pro Latest (~google/gemini-pro-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-pro-latest.html"}
{"id":"~moonshotai/kimi-latest","label":"MoonshotAI Kimi Latest","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~moonshotai/kimi-latest","title":"MoonshotAI Kimi Latest","abstract":"MoonshotAI Kimi Latest (~moonshotai/kimi-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"MoonshotAI Kimi Latest (~moonshotai/kimi-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moonshotai-kimi-latest.html"}
{"id":"~openai/gpt-astra-latest","label":"OpenAI: GPT Astra Latest","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":10,"outputPer1M":50,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~openai/gpt-astra-latest","title":"OpenAI: GPT Astra Latest","abstract":"OpenAI: GPT Astra Latest (~openai/gpt-astra-latest) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT Astra Latest (~openai/gpt-astra-latest) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10 in / $50 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-astra-latest.html"}
{"id":"~openai/gpt-luna-latest","label":"OpenAI: GPT Luna Latest","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","pricing":{"inputPer1M":0.1,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~openai/gpt-luna-latest","title":"OpenAI: GPT Luna Latest","abstract":"OpenAI: GPT Luna Latest (~openai/gpt-luna-latest) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT Luna Latest (~openai/gpt-luna-latest) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-luna-latest.html"}
{"id":"~openai/gpt-mini-latest","label":"OpenAI GPT Mini Latest","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","pricing":{"inputPer1M":0.75,"outputPer1M":4.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~openai/gpt-mini-latest","title":"OpenAI GPT Mini Latest","abstract":"OpenAI GPT Mini Latest (~openai/gpt-mini-latest) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI GPT Mini Latest (~openai/gpt-mini-latest) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.75 in / $4.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-mini-latest.html"}
{"id":"~openai/gpt-sol-latest","label":"OpenAI: GPT Sol Latest","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~openai/gpt-sol-latest","title":"OpenAI: GPT Sol Latest","abstract":"OpenAI: GPT Sol Latest (~openai/gpt-sol-latest) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT Sol Latest (~openai/gpt-sol-latest) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-sol-latest.html"}
{"id":"~openai/gpt-terra-latest","label":"OpenAI: GPT Terra Latest","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~openai/gpt-terra-latest","title":"OpenAI: GPT Terra Latest","abstract":"OpenAI: GPT Terra Latest (~openai/gpt-terra-latest) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT Terra Latest (~openai/gpt-terra-latest) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-terra-latest.html"}
{"id":"~unbiased/pareto-latest","label":"Pareto Latest","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"pricing":{"inputPer1M":0.8,"outputPer1M":3.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~unbiased/pareto-latest","title":"Pareto Latest","abstract":"Pareto Latest (~unbiased/pareto-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text.","text":"Pareto Latest (~unbiased/pareto-latest) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.8 in / $3.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/unbiased-pareto-latest.html"}
{"id":"~x-ai/grok-latest","label":"xAI: Grok Latest","kind":"CHAT","contextWindow":500000,"maxOutputTokens":450000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~x-ai/grok-latest","title":"xAI: Grok Latest","abstract":"xAI: Grok Latest (~x-ai/grok-latest) is a chat model from openrouter with a 500K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"xAI: Grok Latest (~x-ai/grok-latest) is a chat model from openrouter with a 500K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 500,000 tokens. Max output tokens: 450,000 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-latest.html"}
{"id":"~z-ai/glm-flash-latest","label":"Z.ai: GLM Flash Latest","kind":"CHAT","contextWindow":1310720,"maxOutputTokens":943718,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"pricing":{"inputPer1M":0.15,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~z-ai/glm-flash-latest","title":"Z.ai: GLM Flash Latest","abstract":"Z.ai: GLM Flash Latest (~z-ai/glm-flash-latest) is a chat model from openrouter with a 1.3M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Z.ai: GLM Flash Latest (~z-ai/glm-flash-latest) is a chat model from openrouter with a 1.3M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,310,720 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $0.15 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-flash-latest.html"}
{"id":"~z-ai/glm-latest","label":"Z.ai: GLM Latest","kind":"CHAT","contextWindow":1310720,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"pricing":{"inputPer1M":0.6538,"outputPer1M":2.0548,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/~z-ai/glm-latest","title":"Z.ai: GLM Latest","abstract":"Z.ai: GLM Latest (~z-ai/glm-latest) is a chat model from openrouter with a 1.3M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM Latest (~z-ai/glm-latest) is a chat model from openrouter with a 1.3M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,310,720 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.6538 in / $2.0548 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-latest.html"}
{"id":"aion-labs/aion-2.0","label":"AionLabs: Aion-2.0","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-12-21","pricing":{"inputPer1M":0.8,"outputPer1M":1.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/aion-labs/aion-2.0","title":"AionLabs: Aion-2.0","abstract":"AionLabs: Aion-2.0 (aion-labs/aion-2.0) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"AionLabs: Aion-2.0 (aion-labs/aion-2.0) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.8 in / $1.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2025-12-21. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/aion-labs-aion-2.0.html"}
{"id":"aion-labs/aion-3.0","label":"AionLabs: Aion-3.0","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-05-05","pricing":{"inputPer1M":3,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/aion-labs/aion-3.0","title":"AionLabs: Aion-3.0","abstract":"AionLabs: Aion-3.0 (aion-labs/aion-3.0) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"AionLabs: Aion-3.0 (aion-labs/aion-3.0) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $3 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-05-05. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/aion-labs-aion-3.0.html"}
{"id":"aion-labs/aion-3.0-mini","label":"AionLabs: Aion-3.0-Mini","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-05-14","pricing":{"inputPer1M":0.7,"outputPer1M":1.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/aion-labs/aion-3.0-mini","title":"AionLabs: Aion-3.0-Mini","abstract":"AionLabs: Aion-3.0-Mini (aion-labs/aion-3.0-mini) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"AionLabs: Aion-3.0-Mini (aion-labs/aion-3.0-mini) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.7 in / $1.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-05-14. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/aion-labs-aion-3.0-mini.html"}
{"id":"aion-labs/aion-3.5","label":"AionLabs: Aion 3.5","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-09-23","pricing":{"inputPer1M":3,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/aion-labs/aion-3.5","title":"AionLabs: Aion 3.5","abstract":"AionLabs: Aion 3.5 (aion-labs/aion-3.5) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"AionLabs: Aion 3.5 (aion-labs/aion-3.5) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $3 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-23. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/aion-labs-aion-3.5.html"}
{"id":"aion-labs/aion-3.5-mini","label":"AionLabs: Aion 3.5 Mini","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-09-23","pricing":{"inputPer1M":0.7,"outputPer1M":1.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/aion-labs/aion-3.5-mini","title":"AionLabs: Aion 3.5 Mini","abstract":"AionLabs: Aion 3.5 Mini (aion-labs/aion-3.5-mini) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"AionLabs: Aion 3.5 Mini (aion-labs/aion-3.5-mini) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.7 in / $1.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-23. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/aion-labs-aion-3.5-mini.html"}
{"id":"aion-labs/aion-rp-llama-3.1-8b","label":"AionLabs: Aion-RP 1.0 (8B)","kind":"CHAT","contextWindow":32768,"maxOutputTokens":32768,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12-31","releaseDate":"2025-02-04","pricing":{"inputPer1M":0.8,"outputPer1M":1.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/aion-labs/aion-rp-llama-3.1-8b","title":"AionLabs: Aion-RP 1.0 (8B)","abstract":"AionLabs: Aion-RP 1.0 (8B) (aion-labs/aion-rp-llama-3.1-8b) is a chat model from openrouter with a 32.8K-token context window; open-weight; input text; output text.","text":"AionLabs: Aion-RP 1.0 (8B) (aion-labs/aion-rp-llama-3.1-8b) is a chat model from openrouter with a 32.8K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.8 in / $1.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2023-12-31. Release date: 2025-02-04. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/aion-labs-aion-rp-llama-3.1-8b.html"}
{"id":"amazon/nova-2-lite-v1","label":"Amazon: Nova 2 Lite","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65535,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-10","releaseDate":"2025-12-02","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/amazon/nova-2-lite-v1","title":"Amazon: Nova 2 Lite","abstract":"Amazon: Nova 2 Lite (amazon/nova-2-lite-v1) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text, video; output text.","text":"Amazon: Nova 2 Lite (amazon/nova-2-lite-v1) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,535 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-10. Release date: 2025-12-02. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/amazon-nova-2-lite-v1.html"}
{"id":"amazon/nova-lite-v1","label":"Amazon: Nova Lite 1.0","kind":"CHAT","contextWindow":300000,"maxOutputTokens":5120,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-10-31","releaseDate":"2024-12-05","pricing":{"inputPer1M":0.06,"outputPer1M":0.24,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/amazon/nova-lite-v1","title":"Amazon: Nova Lite 1.0","abstract":"Amazon: Nova Lite 1.0 (amazon/nova-lite-v1) is a chat model from openrouter with a 300K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text.","text":"Amazon: Nova Lite 1.0 (amazon/nova-lite-v1) is a chat model from openrouter with a 300K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 300,000 tokens. Max output tokens: 5,120 tokens. Indicative price (US list): $0.06 in / $0.24 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-10-31. Release date: 2024-12-05. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/amazon-nova-lite-v1.html"}
{"id":"amazon/nova-micro-v1","label":"Amazon: Nova Micro 1.0","kind":"CHAT","contextWindow":128000,"maxOutputTokens":5120,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-10-31","releaseDate":"2024-12-05","pricing":{"inputPer1M":0.035,"outputPer1M":0.14,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/amazon/nova-micro-v1","title":"Amazon: Nova Micro 1.0","abstract":"Amazon: Nova Micro 1.0 (amazon/nova-micro-v1) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools; input text; output text.","text":"Amazon: Nova Micro 1.0 (amazon/nova-micro-v1) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 5,120 tokens. Indicative price (US list): $0.035 in / $0.14 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2024-10-31. Release date: 2024-12-05. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/amazon-nova-micro-v1.html"}
{"id":"amazon/nova-premier-v1","label":"Amazon: Nova Premier 1.0","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":32000,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-10","releaseDate":"2025-04-30","pricing":{"inputPer1M":2.5,"outputPer1M":12.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/amazon/nova-premier-v1","title":"Amazon: Nova Premier 1.0","abstract":"Amazon: Nova Premier 1.0 (amazon/nova-premier-v1) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text.","text":"Amazon: Nova Premier 1.0 (amazon/nova-premier-v1) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $2.5 in / $12.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-10. Release date: 2025-04-30. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/amazon-nova-premier-v1.html"}
{"id":"amazon/nova-pro-v1","label":"Amazon: Nova Pro 1.0","kind":"CHAT","contextWindow":300000,"maxOutputTokens":5120,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-10-31","releaseDate":"2024-12-05","pricing":{"inputPer1M":0.8,"outputPer1M":3.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/amazon/nova-pro-v1","title":"Amazon: Nova Pro 1.0","abstract":"Amazon: Nova Pro 1.0 (amazon/nova-pro-v1) is a chat model from openrouter with a 300K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text.","text":"Amazon: Nova Pro 1.0 (amazon/nova-pro-v1) is a chat model from openrouter with a 300K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 300,000 tokens. Max output tokens: 5,120 tokens. Indicative price (US list): $0.8 in / $3.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-10-31. Release date: 2024-12-05. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/amazon-nova-pro-v1.html"}
{"id":"anthracite-org/magnum-v4-72b","label":"Magnum v4 72B","kind":"CHAT","contextWindow":16384,"maxOutputTokens":2048,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2024-10-22","pricing":{"inputPer1M":3,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthracite-org/magnum-v4-72b","title":"Magnum v4 72B","abstract":"Magnum v4 72B (anthracite-org/magnum-v4-72b) is a chat model from openrouter with a 16.4K-token context window; open-weight; input text; output text.","text":"Magnum v4 72B (anthracite-org/magnum-v4-72b) is a chat model from openrouter with a 16.4K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 16,384 tokens. Max output tokens: 2,048 tokens. Indicative price (US list): $3 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2024-06-30. Release date: 2024-10-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthracite-org-magnum-v4-72b.html"}
{"id":"anthropic/claude-3-haiku","label":"Claude 3 Haiku (via OpenRouter)","kind":"CHAT","contextWindow":200000,"maxOutputTokens":4096,"capabilities":["tools","vision"],"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2023-08-31","pricing":{"inputPer1M":0.25,"outputPer1M":1.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":5.6,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-3-haiku","title":"Claude 3 Haiku (via OpenRouter)","abstract":"Claude 3 Haiku (via OpenRouter) (anthropic/claude-3-haiku) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision; input image, text; output text.","text":"Claude 3 Haiku (via OpenRouter) (anthropic/claude-3-haiku) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.25 in / $1.25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 5.6 (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Knowledge cutoff: 2023-08-31. Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-3-haiku.html"}
{"id":"anthropic/claude-fable-5","label":"Anthropic: Claude Fable 5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-01-31","releaseDate":"2026-06-09","pricing":{"inputPer1M":10,"outputPer1M":50,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-fable-5","title":"Anthropic: Claude Fable 5","abstract":"Anthropic: Claude Fable 5 (anthropic/claude-fable-5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic: Claude Fable 5 (anthropic/claude-fable-5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10 in / $50 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-01-31. Release date: 2026-06-09. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-fable-5.html"}
{"id":"anthropic/claude-fable-5:batch","label":"Anthropic: Claude Fable 5 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-fable-5:batch","title":"Anthropic: Claude Fable 5 (batch)","abstract":"Anthropic: Claude Fable 5 (batch) (anthropic/claude-fable-5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Fable 5 (batch) (anthropic/claude-fable-5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-fable-5-batch.html"}
{"id":"anthropic/claude-fable-5.1","label":"Anthropic: Claude Fable 5.1","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-06","releaseDate":"2026-09-01","pricing":{"inputPer1M":10,"outputPer1M":50,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-fable-5.1","title":"Anthropic: Claude Fable 5.1","abstract":"Anthropic: Claude Fable 5.1 (anthropic/claude-fable-5.1) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Fable 5.1 (anthropic/claude-fable-5.1) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10 in / $50 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-06. Release date: 2026-09-01. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-fable-5.1.html"}
{"id":"anthropic/claude-fable-5.1:batch","label":"Anthropic: Claude Fable 5.1 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-fable-5.1:batch","title":"Anthropic: Claude Fable 5.1 (batch)","abstract":"Anthropic: Claude Fable 5.1 (batch) (anthropic/claude-fable-5.1:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Fable 5.1 (batch) (anthropic/claude-fable-5.1:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-fable-5.1-batch.html"}
{"id":"anthropic/claude-haiku-4.5","label":"Anthropic: Claude Haiku 4.5","kind":"CHAT","contextWindow":200000,"maxOutputTokens":200000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-02-28","releaseDate":"2025-10-15","pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-haiku-4.5","title":"Anthropic: Claude Haiku 4.5","abstract":"Anthropic: Claude Haiku 4.5 (anthropic/claude-haiku-4.5) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Haiku 4.5 (anthropic/claude-haiku-4.5) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 200,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-02-28. Release date: 2025-10-15. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-haiku-4.5.html"}
{"id":"anthropic/claude-haiku-4.5:batch","label":"Anthropic: Claude Haiku 4.5 (batch)","kind":"CHAT","contextWindow":200000,"maxOutputTokens":64000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.5,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-haiku-4.5:batch","title":"Anthropic: Claude Haiku 4.5 (batch)","abstract":"Anthropic: Claude Haiku 4.5 (batch) (anthropic/claude-haiku-4.5:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Haiku 4.5 (batch) (anthropic/claude-haiku-4.5:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $0.5 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-haiku-4.5-batch.html"}
{"id":"anthropic/claude-haiku-5.5","label":"Anthropic: Claude Haiku 5.5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-06","releaseDate":"2026-10-07","pricing":{"inputPer1M":0.1,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-haiku-5.5","title":"Anthropic: Claude Haiku 5.5","abstract":"Anthropic: Claude Haiku 5.5 (anthropic/claude-haiku-5.5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic: Claude Haiku 5.5 (anthropic/claude-haiku-5.5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-06. Release date: 2026-10-07. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-haiku-5.5.html"}
{"id":"anthropic/claude-haiku-5.5:batch","label":"Anthropic: Claude Haiku 5.5 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.05,"outputPer1M":0.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-haiku-5.5:batch","title":"Anthropic: Claude Haiku 5.5 (batch)","abstract":"Anthropic: Claude Haiku 5.5 (batch) (anthropic/claude-haiku-5.5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic: Claude Haiku 5.5 (batch) (anthropic/claude-haiku-5.5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.05 in / $0.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-haiku-5.5-batch.html"}
{"id":"anthropic/claude-opus-4.1","label":"Anthropic: Claude Opus 4.1","kind":"CHAT","contextWindow":200000,"maxOutputTokens":32000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-01-31","releaseDate":"2025-08-05","pricing":{"inputPer1M":15,"outputPer1M":75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-4.1","title":"Anthropic: Claude Opus 4.1","abstract":"Anthropic: Claude Opus 4.1 (anthropic/claude-opus-4.1) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 4.1 (anthropic/claude-opus-4.1) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $15 in / $75 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01-31. Release date: 2025-08-05. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-4.1.html"}
{"id":"anthropic/claude-opus-4.1:batch","label":"Anthropic: Claude Opus 4.1 (batch)","kind":"CHAT","contextWindow":200000,"maxOutputTokens":32000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-01-31","pricing":{"inputPer1M":7.5,"outputPer1M":37.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-4.1:batch","title":"Anthropic: Claude Opus 4.1 (batch)","abstract":"Anthropic: Claude Opus 4.1 (batch) (anthropic/claude-opus-4.1:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 4.1 (batch) (anthropic/claude-opus-4.1:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $7.5 in / $37.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2025-01-31. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-4.1-batch.html"}
{"id":"anthropic/claude-opus-4.5","label":"Anthropic: Claude Opus 4.5","kind":"CHAT","contextWindow":200000,"maxOutputTokens":32000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2025-11-24","pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":23.7,"scores":{"math":{"value":62.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":46.86,"latencyTtftSec":1.17,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-4.5","title":"Anthropic: Claude Opus 4.5","abstract":"Anthropic: Claude Opus 4.5 (anthropic/claude-opus-4.5) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 4.5 (anthropic/claude-opus-4.5) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 23.7 · math 62.7 (cited from Artificial Analysis — verify at the source). Cited speed: 46.86 tokens/s · 1.17s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-05. Release date: 2025-11-24. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-4.5.html"}
{"id":"anthropic/claude-opus-4.5:batch","label":"Anthropic: Claude Opus 4.5 (batch)","kind":"CHAT","contextWindow":200000,"maxOutputTokens":64000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":12.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-4.5:batch","title":"Anthropic: Claude Opus 4.5 (batch)","abstract":"Anthropic: Claude Opus 4.5 (batch) (anthropic/claude-opus-4.5:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 4.5 (batch) (anthropic/claude-opus-4.5:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $2.5 in / $12.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-4.5-batch.html"}
{"id":"anthropic/claude-opus-4.6","label":"Anthropic: Claude Opus 4.6","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-05-31","releaseDate":"2026-02-05","pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-4.6","title":"Anthropic: Claude Opus 4.6","abstract":"Anthropic: Claude Opus 4.6 (anthropic/claude-opus-4.6) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 4.6 (anthropic/claude-opus-4.6) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-05-31. Release date: 2026-02-05. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-4.6.html"}
{"id":"anthropic/claude-opus-4.6:batch","label":"Anthropic: Claude Opus 4.6 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":12.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-4.6:batch","title":"Anthropic: Claude Opus 4.6 (batch)","abstract":"Anthropic: Claude Opus 4.6 (batch) (anthropic/claude-opus-4.6:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 4.6 (batch) (anthropic/claude-opus-4.6:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $12.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-4.6-batch.html"}
{"id":"anthropic/claude-opus-4.7","label":"Anthropic: Claude Opus 4.7","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-01-31","releaseDate":"2026-04-16","pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-4.7","title":"Anthropic: Claude Opus 4.7","abstract":"Anthropic: Claude Opus 4.7 (anthropic/claude-opus-4.7) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 4.7 (anthropic/claude-opus-4.7) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-01-31. Release date: 2026-04-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-4.7.html"}
{"id":"anthropic/claude-opus-4.7:batch","label":"Anthropic: Claude Opus 4.7 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":12.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-4.7:batch","title":"Anthropic: Claude Opus 4.7 (batch)","abstract":"Anthropic: Claude Opus 4.7 (batch) (anthropic/claude-opus-4.7:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 4.7 (batch) (anthropic/claude-opus-4.7:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $12.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-4.7-batch.html"}
{"id":"anthropic/claude-opus-4.8","label":"Anthropic: Claude Opus 4.8","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-01","releaseDate":"2026-05-28","pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-4.8","title":"Anthropic: Claude Opus 4.8","abstract":"Anthropic: Claude Opus 4.8 (anthropic/claude-opus-4.8) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 4.8 (anthropic/claude-opus-4.8) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-01. Release date: 2026-05-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-4.8.html"}
{"id":"anthropic/claude-opus-4.8:batch","label":"Anthropic: Claude Opus 4.8 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":12.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-4.8:batch","title":"Anthropic: Claude Opus 4.8 (batch)","abstract":"Anthropic: Claude Opus 4.8 (batch) (anthropic/claude-opus-4.8:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 4.8 (batch) (anthropic/claude-opus-4.8:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $12.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-4.8-batch.html"}
{"id":"anthropic/claude-opus-5","label":"Claude Opus 5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-05","releaseDate":"2026-07-24","pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-5","title":"Claude Opus 5","abstract":"Claude Opus 5 (anthropic/claude-opus-5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Claude Opus 5 (anthropic/claude-opus-5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-05. Release date: 2026-07-24. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-5.html"}
{"id":"anthropic/claude-opus-5:batch","label":"Anthropic: Claude Opus 5 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":2.5,"outputPer1M":12.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-5:batch","title":"Anthropic: Claude Opus 5 (batch)","abstract":"Anthropic: Claude Opus 5 (batch) (anthropic/claude-opus-5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 5 (batch) (anthropic/claude-opus-5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $12.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-5-batch.html"}
{"id":"anthropic/claude-opus-5.5","label":"Anthropic: Claude Opus 5.5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-06","releaseDate":"2026-09-22","pricing":{"inputPer1M":4,"outputPer1M":20,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-5.5","title":"Anthropic: Claude Opus 5.5","abstract":"Anthropic: Claude Opus 5.5 (anthropic/claude-opus-5.5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 5.5 (anthropic/claude-opus-5.5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $4 in / $20 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-06. Release date: 2026-09-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-5.5.html"}
{"id":"anthropic/claude-opus-5.5:batch","label":"Anthropic: Claude Opus 5.5 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-opus-5.5:batch","title":"Anthropic: Claude Opus 5.5 (batch)","abstract":"Anthropic: Claude Opus 5.5 (batch) (anthropic/claude-opus-5.5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Opus 5.5 (batch) (anthropic/claude-opus-5.5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-opus-5.5-batch.html"}
{"id":"anthropic/claude-sonnet-4.5","label":"Claude Sonnet 4.5 (via OpenRouter)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":1000000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-01-31","releaseDate":"2025-09-29","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","models-dev","openrouter-api","overrides"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-sonnet-4.5","title":"Claude Sonnet 4.5 (via OpenRouter)","abstract":"Claude Sonnet 4.5 (via OpenRouter) (anthropic/claude-sonnet-4.5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Claude Sonnet 4.5 (via OpenRouter) (anthropic/claude-sonnet-4.5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 1,000,000 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01-31. Release date: 2025-09-29. Sources: committed, models-dev, openrouter-api, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-sonnet-4.5.html"}
{"id":"anthropic/claude-sonnet-4.5:batch","label":"Anthropic: Claude Sonnet 4.5 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":64000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-01-31","pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-sonnet-4.5:batch","title":"Anthropic: Claude Sonnet 4.5 (batch)","abstract":"Anthropic: Claude Sonnet 4.5 (batch) (anthropic/claude-sonnet-4.5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Sonnet 4.5 (batch) (anthropic/claude-sonnet-4.5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2025-01-31. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-sonnet-4.5-batch.html"}
{"id":"anthropic/claude-sonnet-4.6","label":"Anthropic: Claude Sonnet 4.6","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-02-17","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-sonnet-4.6","title":"Anthropic: Claude Sonnet 4.6","abstract":"Anthropic: Claude Sonnet 4.6 (anthropic/claude-sonnet-4.6) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Sonnet 4.6 (anthropic/claude-sonnet-4.6) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-02-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-sonnet-4.6.html"}
{"id":"anthropic/claude-sonnet-4.6:batch","label":"Anthropic: Claude Sonnet 4.6 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-sonnet-4.6:batch","title":"Anthropic: Claude Sonnet 4.6 (batch)","abstract":"Anthropic: Claude Sonnet 4.6 (batch) (anthropic/claude-sonnet-4.6:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Sonnet 4.6 (batch) (anthropic/claude-sonnet-4.6:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-sonnet-4.6-batch.html"}
{"id":"anthropic/claude-sonnet-5","label":"Anthropic: Claude Sonnet 5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-01-31","releaseDate":"2026-06-30","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-sonnet-5","title":"Anthropic: Claude Sonnet 5","abstract":"Anthropic: Claude Sonnet 5 (anthropic/claude-sonnet-5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic: Claude Sonnet 5 (anthropic/claude-sonnet-5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-01-31. Release date: 2026-06-30. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-sonnet-5.html"}
{"id":"anthropic/claude-sonnet-5:batch","label":"Anthropic: Claude Sonnet 5 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-sonnet-5:batch","title":"Anthropic: Claude Sonnet 5 (batch)","abstract":"Anthropic: Claude Sonnet 5 (batch) (anthropic/claude-sonnet-5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Anthropic: Claude Sonnet 5 (batch) (anthropic/claude-sonnet-5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-sonnet-5-batch.html"}
{"id":"anthropic/claude-sonnet-5.5","label":"Anthropic: Claude Sonnet 5.5","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-06","releaseDate":"2026-09-28","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-sonnet-5.5","title":"Anthropic: Claude Sonnet 5.5","abstract":"Anthropic: Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic: Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-06. Release date: 2026-09-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-sonnet-5.5.html"}
{"id":"anthropic/claude-sonnet-5.5:batch","label":"Anthropic: Claude Sonnet 5.5 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/anthropic/claude-sonnet-5.5:batch","title":"Anthropic: Claude Sonnet 5.5 (batch)","abstract":"Anthropic: Claude Sonnet 5.5 (batch) (anthropic/claude-sonnet-5.5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Anthropic: Claude Sonnet 5.5 (batch) (anthropic/claude-sonnet-5.5:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/anthropic-claude-sonnet-5.5-batch.html"}
{"id":"bytedance-seed/seed-1.6","label":"ByteDance Seed: Seed 1.6","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2025-10-15","pricing":{"inputPer1M":0.25,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/bytedance-seed/seed-1.6","title":"ByteDance Seed: Seed 1.6","abstract":"ByteDance Seed: Seed 1.6 (bytedance-seed/seed-1.6) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"ByteDance Seed: Seed 1.6 (bytedance-seed/seed-1.6) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.25 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2025-10-15. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/bytedance-seed-seed-1.6.html"}
{"id":"bytedance-seed/seed-1.6-flash","label":"ByteDance Seed: Seed 1.6 Flash","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2025-08-28","pricing":{"inputPer1M":0.075,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/bytedance-seed/seed-1.6-flash","title":"ByteDance Seed: Seed 1.6 Flash","abstract":"ByteDance Seed: Seed 1.6 Flash (bytedance-seed/seed-1.6-flash) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"ByteDance Seed: Seed 1.6 Flash (bytedance-seed/seed-1.6-flash) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.075 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2025-08-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/bytedance-seed-seed-1.6-flash.html"}
{"id":"bytedance-seed/seed-2-1-turbo","label":"ByteDance Seed: Seed 2.1 Turbo","kind":"CHAT","contextWindow":262144,"maxOutputTokens":235929,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-06-23","pricing":{"inputPer1M":0.5,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/bytedance-seed/seed-2-1-turbo","title":"ByteDance Seed: Seed 2.1 Turbo","abstract":"ByteDance Seed: Seed 2.1 Turbo (bytedance-seed/seed-2-1-turbo) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"ByteDance Seed: Seed 2.1 Turbo (bytedance-seed/seed-2-1-turbo) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 235,929 tokens. Indicative price (US list): $0.5 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-06-23. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/bytedance-seed-seed-2-1-turbo.html"}
{"id":"bytedance-seed/seed-2.0-code","label":"ByteDance Seed: Seed-2.0-Code","kind":"CHAT","contextWindow":262144,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-14","pricing":{"inputPer1M":0.5,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/bytedance-seed/seed-2.0-code","title":"ByteDance Seed: Seed-2.0-Code","abstract":"ByteDance Seed: Seed-2.0-Code (bytedance-seed/seed-2.0-code) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"ByteDance Seed: Seed-2.0-Code (bytedance-seed/seed-2.0-code) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.5 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-02-14. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/bytedance-seed-seed-2.0-code.html"}
{"id":"bytedance-seed/seed-2.0-lite","label":"ByteDance Seed: Seed-2.0-Lite","kind":"CHAT","contextWindow":262144,"maxOutputTokens":131072,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-14","pricing":{"inputPer1M":0.25,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/bytedance-seed/seed-2.0-lite","title":"ByteDance Seed: Seed-2.0-Lite","abstract":"ByteDance Seed: Seed-2.0-Lite (bytedance-seed/seed-2.0-lite) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"ByteDance Seed: Seed-2.0-Lite (bytedance-seed/seed-2.0-lite) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.25 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-02-14. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/bytedance-seed-seed-2.0-lite.html"}
{"id":"bytedance-seed/seed-2.0-mini","label":"ByteDance Seed: Seed-2.0-Mini","kind":"CHAT","contextWindow":262144,"maxOutputTokens":131072,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-14","pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/bytedance-seed/seed-2.0-mini","title":"ByteDance Seed: Seed-2.0-Mini","abstract":"ByteDance Seed: Seed-2.0-Mini (bytedance-seed/seed-2.0-mini) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"ByteDance Seed: Seed-2.0-Mini (bytedance-seed/seed-2.0-mini) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-02-14. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/bytedance-seed-seed-2.0-mini.html"}
{"id":"bytedance/ui-tars-1.5-7b","label":"ByteDance: UI-TARS 7B ","kind":"CHAT","contextWindow":131072,"maxOutputTokens":2048,"capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-01-31","releaseDate":"2025-07-22","pricing":{"inputPer1M":0.1,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/bytedance/ui-tars-1.5-7b","title":"ByteDance: UI-TARS 7B ","abstract":"ByteDance: UI-TARS 7B  (bytedance/ui-tars-1.5-7b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities vision; input image, text; output text.","text":"ByteDance: UI-TARS 7B  (bytedance/ui-tars-1.5-7b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 2,048 tokens. Indicative price (US list): $0.1 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: vision. Weights: Open-weight. Knowledge cutoff: 2025-01-31. Release date: 2025-07-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/bytedance-ui-tars-1.5-7b.html"}
{"id":"cognitivecomputations/dolphin-mistral-24b-venice-edition","label":"Venice: Uncensored","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8192,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04-30","releaseDate":"2025-07-09","pricing":{"inputPer1M":0.2,"outputPer1M":0.9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/cognitivecomputations/dolphin-mistral-24b-venice-edition","title":"Venice: Uncensored","abstract":"Venice: Uncensored (cognitivecomputations/dolphin-mistral-24b-venice-edition) is a chat model from openrouter with a 128K-token context window; open-weight; input text; output text.","text":"Venice: Uncensored (cognitivecomputations/dolphin-mistral-24b-venice-edition) is a chat model from openrouter with a 128K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.2 in / $0.9 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2024-04-30. Release date: 2025-07-09. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/cognitivecomputations-dolphin-mistral-24b-venice-edition.html"}
{"id":"cohere/command-a","label":"Cohere: Command A","kind":"CHAT","contextWindow":256000,"maxOutputTokens":8192,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-08-31","releaseDate":"2025-03-13","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/cohere/command-a","title":"Cohere: Command A","abstract":"Cohere: Command A (cohere/command-a) is a chat model from openrouter with a 256K-token context window; open-weight; input text; output text.","text":"Cohere: Command A (cohere/command-a) is a chat model from openrouter with a 256K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2024-08-31. Release date: 2025-03-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/cohere-command-a.html"}
{"id":"cohere/command-a-plus","label":"Cohere: Command A+","kind":"CHAT","contextWindow":192000,"maxOutputTokens":64000,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-04-01","releaseDate":"2026-05-20","pricing":{"inputPer1M":0.3,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":6.2,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":223.97,"latencyTtftSec":0.44,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/cohere/command-a-plus","title":"Cohere: Command A+","abstract":"Cohere: Command A+ (cohere/command-a-plus) is a chat model from openrouter with a 192K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Cohere: Command A+ (cohere/command-a-plus) is a chat model from openrouter with a 192K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 192,000 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $0.3 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.2 (cited from Artificial Analysis — verify at the source). Cited speed: 223.97 tokens/s · 0.44s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04-01. Release date: 2026-05-20. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/cohere-command-a-plus.html"}
{"id":"cohere/command-r-08-2024","label":"Cohere: Command R (08-2024)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-03-31","releaseDate":"2024-08-30","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/cohere/command-r-08-2024","title":"Cohere: Command R (08-2024)","abstract":"Cohere: Command R (08-2024) (cohere/command-r-08-2024) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities tools; input text; output text.","text":"Cohere: Command R (08-2024) (cohere/command-r-08-2024) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,000 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-03-31. Release date: 2024-08-30. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/cohere-command-r-08-2024.html"}
{"id":"cohere/command-r-plus-08-2024","label":"Cohere: Command R+ (08-2024)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-03-31","releaseDate":"2024-08-30","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/cohere/command-r-plus-08-2024","title":"Cohere: Command R+ (08-2024)","abstract":"Cohere: Command R+ (08-2024) (cohere/command-r-plus-08-2024) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities tools; input text; output text.","text":"Cohere: Command R+ (08-2024) (cohere/command-r-plus-08-2024) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,000 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-03-31. Release date: 2024-08-30. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/cohere-command-r-plus-08-2024.html"}
{"id":"cohere/command-r7b-12-2024","label":"Cohere: Command R7B (12-2024)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4000,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-08-31","releaseDate":"2024-12-13","pricing":{"inputPer1M":0.0375,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/cohere/command-r7b-12-2024","title":"Cohere: Command R7B (12-2024)","abstract":"Cohere: Command R7B (12-2024) (cohere/command-r7b-12-2024) is a chat model from openrouter with a 128K-token context window; open-weight; input text; output text.","text":"Cohere: Command R7B (12-2024) (cohere/command-r7b-12-2024) is a chat model from openrouter with a 128K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,000 tokens. Indicative price (US list): $0.0375 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2024-08-31. Release date: 2024-12-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/cohere-command-r7b-12-2024.html"}
{"id":"cohere/north-mini-code:free","label":"Cohere: North Mini Code (free)","kind":"CHAT","contextWindow":256000,"maxOutputTokens":64000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-09-23","releaseDate":"2026-06-09","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/cohere/north-mini-code:free","title":"Cohere: North Mini Code (free)","abstract":"Cohere: North Mini Code (free) (cohere/north-mini-code:free) is a chat model from openrouter with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Cohere: North Mini Code (free) (cohere/north-mini-code:free) is a chat model from openrouter with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 64,000 tokens. Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-09-23. Release date: 2026-06-09. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/cohere-north-mini-code-free.html"}
{"id":"deepseek/deepseek-chat","label":"DeepSeek Chat (via OpenRouter)","kind":"CHAT","contextWindow":65536,"maxOutputTokens":8192,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-07-31","releaseDate":"2025-12-01","pricing":{"inputPer1M":0.14,"outputPer1M":0.28,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","models-dev","openrouter-api","overrides"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-chat","title":"DeepSeek Chat (via OpenRouter)","abstract":"DeepSeek Chat (via OpenRouter) (deepseek/deepseek-chat) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities tools; input text; output text.","text":"DeepSeek Chat (via OpenRouter) (deepseek/deepseek-chat) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.14 in / $0.28 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-07-31. Release date: 2025-12-01. Sources: committed, models-dev, openrouter-api, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-chat.html"}
{"id":"deepseek/deepseek-chat-v3-0324","label":"DeepSeek: DeepSeek V3 0324","kind":"CHAT","contextWindow":65536,"maxOutputTokens":8192,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-07-31","releaseDate":"2025-03-24","pricing":{"inputPer1M":0.14,"outputPer1M":0.28,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-chat-v3-0324","title":"DeepSeek: DeepSeek V3 0324","abstract":"DeepSeek: DeepSeek V3 0324 (deepseek/deepseek-chat-v3-0324) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities tools; input text; output text.","text":"DeepSeek: DeepSeek V3 0324 (deepseek/deepseek-chat-v3-0324) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.14 in / $0.28 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-07-31. Release date: 2025-03-24. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-chat-v3-0324.html"}
{"id":"deepseek/deepseek-chat-v3.1","label":"DeepSeek: DeepSeek V3.1","kind":"CHAT","contextWindow":163840,"maxOutputTokens":163840,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-08-21","pricing":{"inputPer1M":0.2,"outputPer1M":0.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-chat-v3.1","title":"DeepSeek: DeepSeek V3.1","abstract":"DeepSeek: DeepSeek V3.1 (deepseek/deepseek-chat-v3.1) is a chat model from openrouter with a 163.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek: DeepSeek V3.1 (deepseek/deepseek-chat-v3.1) is a chat model from openrouter with a 163.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 163,840 tokens. Max output tokens: 163,840 tokens. Indicative price (US list): $0.2 in / $0.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-08-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-chat-v3.1.html"}
{"id":"deepseek/deepseek-r1-0528","label":"DeepSeek: R1 0528","kind":"CHAT","contextWindow":65336,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-05-28","pricing":{"inputPer1M":0.5,"outputPer1M":2.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-r1-0528","title":"DeepSeek: R1 0528","abstract":"DeepSeek: R1 0528 (deepseek/deepseek-r1-0528) is a chat model from openrouter with a 65.3K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek: R1 0528 (deepseek/deepseek-r1-0528) is a chat model from openrouter with a 65.3K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 65,336 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.5 in / $2.15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-05-28. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-r1-0528.html"}
{"id":"deepseek/deepseek-v3.1-terminus","label":"DeepSeek: DeepSeek V3.1 Terminus","kind":"CHAT","contextWindow":163840,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-09-22","pricing":{"inputPer1M":0.27,"outputPer1M":1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":13.9,"scores":{"math":{"value":53.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":54.68,"latencyTtftSec":0.74,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v3.1-terminus","title":"DeepSeek: DeepSeek V3.1 Terminus","abstract":"DeepSeek: DeepSeek V3.1 Terminus (deepseek/deepseek-v3.1-terminus) is a chat model from openrouter with a 163.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek: DeepSeek V3.1 Terminus (deepseek/deepseek-v3.1-terminus) is a chat model from openrouter with a 163.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 163,840 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.27 in / $1 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 13.9 · math 53.7 (cited from Artificial Analysis — verify at the source). Cited speed: 54.68 tokens/s · 0.74s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-09-22. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v3.1-terminus.html"}
{"id":"deepseek/deepseek-v3.2","label":"DeepSeek: DeepSeek V3.2","kind":"CHAT","contextWindow":163840,"maxOutputTokens":163840,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-07","releaseDate":"2025-12-01","pricing":{"inputPer1M":0.28,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":16,"scores":{"math":{"value":59}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v3.2","title":"DeepSeek: DeepSeek V3.2","abstract":"DeepSeek: DeepSeek V3.2 (deepseek/deepseek-v3.2) is a chat model from openrouter with a 163.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek: DeepSeek V3.2 (deepseek/deepseek-v3.2) is a chat model from openrouter with a 163.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 163,840 tokens. Max output tokens: 163,840 tokens. Indicative price (US list): $0.28 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 16 · math 59 (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-07. Release date: 2025-12-01. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v3.2.html"}
{"id":"deepseek/deepseek-v3.2-exp","label":"DeepSeek: DeepSeek V3.2 Exp","kind":"CHAT","contextWindow":163840,"maxOutputTokens":163840,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-07-31","releaseDate":"2025-09-29","pricing":{"inputPer1M":0.2,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v3.2-exp","title":"DeepSeek: DeepSeek V3.2 Exp","abstract":"DeepSeek: DeepSeek V3.2 Exp (deepseek/deepseek-v3.2-exp) is a chat model from openrouter with a 163.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek: DeepSeek V3.2 Exp (deepseek/deepseek-v3.2-exp) is a chat model from openrouter with a 163.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 163,840 tokens. Max output tokens: 163,840 tokens. Indicative price (US list): $0.2 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-07-31. Release date: 2025-09-29. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v3.2-exp.html"}
{"id":"deepseek/deepseek-v4-flash","label":"DeepSeek: DeepSeek V4 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":384000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2026-04-24","pricing":{"inputPer1M":0.098,"outputPer1M":0.196,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v4-flash","title":"DeepSeek: DeepSeek V4 Flash","abstract":"DeepSeek: DeepSeek V4 Flash (deepseek/deepseek-v4-flash) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek: DeepSeek V4 Flash (deepseek/deepseek-v4-flash) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 384,000 tokens. Indicative price (US list): $0.098 in / $0.196 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-05. Release date: 2026-04-24. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v4-flash.html"}
{"id":"deepseek/deepseek-v4-flash-0731","label":"DeepSeek: DeepSeek V4 Flash 0731","kind":"CHAT","contextWindow":1310720,"maxOutputTokens":943718,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2026-07-31","pricing":{"inputPer1M":0.022,"outputPer1M":0.32,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v4-flash-0731","title":"DeepSeek: DeepSeek V4 Flash 0731","abstract":"DeepSeek: DeepSeek V4 Flash 0731 (deepseek/deepseek-v4-flash-0731) is a chat model from openrouter with a 1.3M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek: DeepSeek V4 Flash 0731 (deepseek/deepseek-v4-flash-0731) is a chat model from openrouter with a 1.3M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,310,720 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $0.022 in / $0.32 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-05. Release date: 2026-07-31. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v4-flash-0731.html"}
{"id":"deepseek/deepseek-v4-flash-vision-exp","label":"DeepSeek: DeepSeek V4 Flash Vision Exp","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-08-21","pricing":{"inputPer1M":0.22,"outputPer1M":0.66,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v4-flash-vision-exp","title":"DeepSeek: DeepSeek V4 Flash Vision Exp","abstract":"DeepSeek: DeepSeek V4 Flash Vision Exp (deepseek/deepseek-v4-flash-vision-exp) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"DeepSeek: DeepSeek V4 Flash Vision Exp (deepseek/deepseek-v4-flash-vision-exp) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $0.22 in / $0.66 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-08-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v4-flash-vision-exp.html"}
{"id":"deepseek/deepseek-v4-pro","label":"DeepSeek: DeepSeek V4 Pro","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":384000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2026-04-24","pricing":{"inputPer1M":0.435,"outputPer1M":0.87,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v4-pro","title":"DeepSeek: DeepSeek V4 Pro","abstract":"DeepSeek: DeepSeek V4 Pro (deepseek/deepseek-v4-pro) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek: DeepSeek V4 Pro (deepseek/deepseek-v4-pro) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 384,000 tokens. Indicative price (US list): $0.435 in / $0.87 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-05. Release date: 2026-04-24. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v4-pro.html"}
{"id":"deepseek/deepseek-v4-pro-0813","label":"DeepSeek: DeepSeek V4 Pro 0813","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":384000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-13","pricing":{"inputPer1M":0.264,"outputPer1M":0.792,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v4-pro-0813","title":"DeepSeek: DeepSeek V4 Pro 0813","abstract":"DeepSeek: DeepSeek V4 Pro 0813 (deepseek/deepseek-v4-pro-0813) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek: DeepSeek V4 Pro 0813 (deepseek/deepseek-v4-pro-0813) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 384,000 tokens. Indicative price (US list): $0.264 in / $0.792 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-13. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v4-pro-0813.html"}
{"id":"deepseek/deepseek-v4.1-flash","label":"DeepSeek: DeepSeek V4.1 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":393216,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2026-09-10","pricing":{"inputPer1M":0.14,"outputPer1M":0.42,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v4.1-flash","title":"DeepSeek: DeepSeek V4.1 Flash","abstract":"DeepSeek: DeepSeek V4.1 Flash (deepseek/deepseek-v4.1-flash) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"DeepSeek: DeepSeek V4.1 Flash (deepseek/deepseek-v4.1-flash) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 393,216 tokens. Indicative price (US list): $0.14 in / $0.42 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-05. Release date: 2026-09-10. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v4.1-flash.html"}
{"id":"deepseek/deepseek-v4.1-flash-1017","label":"DeepSeek: DeepSeek V4.1 Flash 1017","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":393216,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2026-10-17","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":32.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"performance":{"throughputTps":163.217,"latencyTtftSec":0.887,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v4.1-flash-1017","title":"DeepSeek: DeepSeek V4.1 Flash 1017","abstract":"DeepSeek: DeepSeek V4.1 Flash 1017 (deepseek/deepseek-v4.1-flash-1017) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text.","text":"DeepSeek: DeepSeek V4.1 Flash 1017 (deepseek/deepseek-v4.1-flash-1017) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 393,216 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 32.5 (cited from Artificial Analysis — verify at the source). Cited speed: 163.217 tokens/s · 0.887s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2025-05. Release date: 2026-10-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v4.1-flash-1017.html"}
{"id":"deepseek/deepseek-v4.1-flash:batch","label":"DeepSeek: DeepSeek V4.1 Flash (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","text"],"output":["text"]},"pricing":{"inputPer1M":0.112,"outputPer1M":0.336,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/deepseek/deepseek-v4.1-flash:batch","title":"DeepSeek: DeepSeek V4.1 Flash (batch)","abstract":"DeepSeek: DeepSeek V4.1 Flash (batch) (deepseek/deepseek-v4.1-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input image, text; output text.","text":"DeepSeek: DeepSeek V4.1 Flash (batch) (deepseek/deepseek-v4.1-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.112 in / $0.336 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/deepseek-deepseek-v4.1-flash-batch.html"}
{"id":"dots-studio/dots-3-note-preview:free","label":"Dots Studio: Dots3-Note Preview (free)","kind":"CHAT","contextWindow":512000,"maxOutputTokens":460800,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-08-14","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/dots-studio/dots-3-note-preview:free","title":"Dots Studio: Dots3-Note Preview (free)","abstract":"Dots Studio: Dots3-Note Preview (free) (dots-studio/dots-3-note-preview:free) is a chat model from openrouter with a 512K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text.","text":"Dots Studio: Dots3-Note Preview (free) (dots-studio/dots-3-note-preview:free) is a chat model from openrouter with a 512K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 512,000 tokens. Max output tokens: 460,800 tokens. Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-08-14. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/dots-studio-dots-3-note-preview-free.html"}
{"id":"elorian/glimpse","label":"Elorian: Glimpse","kind":"CHAT","contextWindow":262144,"maxOutputTokens":256000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-10-17","pricing":{"inputPer1M":0.6,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/elorian/glimpse","title":"Elorian: Glimpse","abstract":"Elorian: Glimpse (elorian/glimpse) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Elorian: Glimpse (elorian/glimpse) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 256,000 tokens. Indicative price (US list): $0.6 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-10-17. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/elorian-glimpse.html"}
{"id":"fireworks/ember-1","label":"Fireworks: Ember-1","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-09-22","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/fireworks/ember-1","title":"Fireworks: Ember-1","abstract":"Fireworks: Ember-1 (fireworks/ember-1) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text.","text":"Fireworks: Ember-1 (fireworks/ember-1) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/fireworks-ember-1.html"}
{"id":"google/gemini-2.0-flash-001","label":"Gemini 2.0 Flash (via OpenRouter)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":8192,"capabilities":["tools","vision"],"modalities":{"input":["image","text"]},"pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-2.0-flash-001","title":"Gemini 2.0 Flash (via OpenRouter)","abstract":"Gemini 2.0 Flash (via OpenRouter) (google/gemini-2.0-flash-001) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision; input image, text.","text":"Gemini 2.0 Flash (via OpenRouter) (google/gemini-2.0-flash-001) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision; input image, text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Capabilities: tools, vision. Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-2.0-flash-001.html"}
{"id":"google/gemini-2.5-flash","label":"Google: Gemini 2.5 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":8192,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01-31","releaseDate":"2025-06-17","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-2.5-flash","title":"Google: Gemini 2.5 Flash","abstract":"Google: Gemini 2.5 Flash (google/gemini-2.5-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 2.5 Flash (google/gemini-2.5-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01-31. Release date: 2025-06-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-2.5-flash.html"}
{"id":"google/gemini-2.5-flash-image","label":"Google: Nano Banana (Gemini 2.5 Flash Image)","kind":"CHAT","contextWindow":32768,"maxOutputTokens":8192,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image","text"]},"knowledgeCutoff":"2025-01-31","releaseDate":"2025-08-26","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-2.5-flash-image","title":"Google: Nano Banana (Gemini 2.5 Flash Image)","abstract":"Google: Nano Banana (Gemini 2.5 Flash Image) (google/gemini-2.5-flash-image) is a chat model from openrouter with a 32.8K-token context window; proprietary (API-only); capabilities vision; input image, text; output image, text.","text":"Google: Nano Banana (Gemini 2.5 Flash Image) (google/gemini-2.5-flash-image) is a chat model from openrouter with a 32.8K-token context window; proprietary (API-only); capabilities vision; input image, text; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01-31. Release date: 2025-08-26. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-2.5-flash-image.html"}
{"id":"google/gemini-2.5-flash-lite","label":"Google: Gemini 2.5 Flash Lite","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65535,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01-31","releaseDate":"2025-06-17","pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-2.5-flash-lite","title":"Google: Gemini 2.5 Flash Lite","abstract":"Google: Gemini 2.5 Flash Lite (google/gemini-2.5-flash-lite) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 2.5 Flash Lite (google/gemini-2.5-flash-lite) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,535 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01-31. Release date: 2025-06-17. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-2.5-flash-lite.html"}
{"id":"google/gemini-2.5-pro","label":"Google: Gemini 2.5 Pro","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":8192,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01-31","releaseDate":"2025-06-17","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-2.5-pro","title":"Google: Gemini 2.5 Pro","abstract":"Google: Gemini 2.5 Pro (google/gemini-2.5-pro) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 2.5 Pro (google/gemini-2.5-pro) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01-31. Release date: 2025-06-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-2.5-pro.html"}
{"id":"google/gemini-2.5-pro-preview","label":"Google: Gemini 2.5 Pro Preview 06-05","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-01-31","releaseDate":"2025-06-05","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-2.5-pro-preview","title":"Google: Gemini 2.5 Pro Preview 06-05","abstract":"Google: Gemini 2.5 Pro Preview 06-05 (google/gemini-2.5-pro-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text; output text.","text":"Google: Gemini 2.5 Pro Preview 06-05 (google/gemini-2.5-pro-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01-31. Release date: 2025-06-05. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-2.5-pro-preview.html"}
{"id":"google/gemini-3-flash-preview","label":"Google: Gemini 3 Flash Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65535,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-12-17","pricing":{"inputPer1M":0.5,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3-flash-preview","title":"Google: Gemini 3 Flash Preview","abstract":"Google: Gemini 3 Flash Preview (google/gemini-3-flash-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3 Flash Preview (google/gemini-3-flash-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,535 tokens. Indicative price (US list): $0.5 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-12-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3-flash-preview.html"}
{"id":"google/gemini-3-flash-preview:batch","label":"Google: Gemini 3 Flash Preview (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"pricing":{"inputPer1M":0.25,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3-flash-preview:batch","title":"Google: Gemini 3 Flash Preview (batch)","abstract":"Google: Gemini 3 Flash Preview (batch) (google/gemini-3-flash-preview:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3 Flash Preview (batch) (google/gemini-3-flash-preview:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3-flash-preview-batch.html"}
{"id":"google/gemini-3-pro-image","label":"Google: Nano Banana Pro (Gemini 3 Pro Image)","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-05-28","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3-pro-image","title":"Google: Nano Banana Pro (Gemini 3 Pro Image)","abstract":"Google: Nano Banana Pro (Gemini 3 Pro Image) (google/gemini-3-pro-image) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output image, text.","text":"Google: Nano Banana Pro (Gemini 3 Pro Image) (google/gemini-3-pro-image) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-05-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3-pro-image.html"}
{"id":"google/gemini-3-pro-image-preview","label":"Google: Nano Banana Pro (Gemini 3 Pro Image Preview)","kind":"CHAT","contextWindow":65536,"maxOutputTokens":32768,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-11-20","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3-pro-image-preview","title":"Google: Nano Banana Pro (Gemini 3 Pro Image Preview)","abstract":"Google: Nano Banana Pro (Gemini 3 Pro Image Preview) (google/gemini-3-pro-image-preview) is a chat model from openrouter with a 65.5K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output image, text.","text":"Google: Nano Banana Pro (Gemini 3 Pro Image Preview) (google/gemini-3-pro-image-preview) is a chat model from openrouter with a 65.5K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-11-20. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3-pro-image-preview.html"}
{"id":"google/gemini-3.1-flash-image","label":"Google: Nano Banana 2 (Gemini 3.1 Flash Image)","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-05-28","pricing":{"inputPer1M":0.5,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.1-flash-image","title":"Google: Nano Banana 2 (Gemini 3.1 Flash Image)","abstract":"Google: Nano Banana 2 (Gemini 3.1 Flash Image) (google/gemini-3.1-flash-image) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output image, text.","text":"Google: Nano Banana 2 (Gemini 3.1 Flash Image) (google/gemini-3.1-flash-image) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.5 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-05-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.1-flash-image.html"}
{"id":"google/gemini-3.1-flash-image-preview","label":"Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)","kind":"CHAT","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image","text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-02-26","pricing":{"inputPer1M":0.5,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.1-flash-image-preview","title":"Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)","abstract":"Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) (google/gemini-3.1-flash-image-preview) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output image, text.","text":"Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) (google/gemini-3.1-flash-image-preview) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.5 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-02-26. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.1-flash-image-preview.html"}
{"id":"google/gemini-3.1-flash-lite","label":"Google: Gemini 3.1 Flash Lite","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-05-07","pricing":{"inputPer1M":0.25,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.1-flash-lite","title":"Google: Gemini 3.1 Flash Lite","abstract":"Google: Gemini 3.1 Flash Lite (google/gemini-3.1-flash-lite) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.1 Flash Lite (google/gemini-3.1-flash-lite) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-05-07. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.1-flash-lite.html"}
{"id":"google/gemini-3.1-flash-lite-image","label":"Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)","kind":"CHAT","contextWindow":65536,"maxOutputTokens":66000,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image","text"]},"knowledgeCutoff":"2025-01-01","releaseDate":"2026-06-30","pricing":{"inputPer1M":0.25,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.1-flash-lite-image","title":"Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)","abstract":"Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) (google/gemini-3.1-flash-lite-image) is a chat model from openrouter with a 65.5K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output image, text.","text":"Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) (google/gemini-3.1-flash-lite-image) is a chat model from openrouter with a 65.5K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 66,000 tokens. Indicative price (US list): $0.25 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01-01. Release date: 2026-06-30. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.1-flash-lite-image.html"}
{"id":"google/gemini-3.1-flash-lite-preview","label":"Google: Gemini 3.1 Flash Lite Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-03-03","pricing":{"inputPer1M":0.25,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.1-flash-lite-preview","title":"Google: Gemini 3.1 Flash Lite Preview","abstract":"Google: Gemini 3.1 Flash Lite Preview (google/gemini-3.1-flash-lite-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.1 Flash Lite Preview (google/gemini-3.1-flash-lite-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-03-03. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.1-flash-lite-preview.html"}
{"id":"google/gemini-3.1-flash-lite:batch","label":"Google: Gemini 3.1 Flash Lite (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"pricing":{"inputPer1M":0.125,"outputPer1M":0.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.1-flash-lite:batch","title":"Google: Gemini 3.1 Flash Lite (batch)","abstract":"Google: Gemini 3.1 Flash Lite (batch) (google/gemini-3.1-flash-lite:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.1 Flash Lite (batch) (google/gemini-3.1-flash-lite:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.125 in / $0.75 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.1-flash-lite-batch.html"}
{"id":"google/gemini-3.1-pro-preview","label":"Google: Gemini 3.1 Pro Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-02-19","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.1-pro-preview","title":"Google: Gemini 3.1 Pro Preview","abstract":"Google: Gemini 3.1 Pro Preview (google/gemini-3.1-pro-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.1 Pro Preview (google/gemini-3.1-pro-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-02-19. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.1-pro-preview.html"}
{"id":"google/gemini-3.1-pro-preview-customtools","label":"Google: Gemini 3.1 Pro Preview Custom Tools","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-02-19","pricing":{"inputPer1M":2,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.1-pro-preview-customtools","title":"Google: Gemini 3.1 Pro Preview Custom Tools","abstract":"Google: Gemini 3.1 Pro Preview Custom Tools (google/gemini-3.1-pro-preview-customtools) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.1 Pro Preview Custom Tools (google/gemini-3.1-pro-preview-customtools) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $2 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2026-02-19. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.1-pro-preview-customtools.html"}
{"id":"google/gemini-3.1-pro-preview:batch","label":"Google: Gemini 3.1 Pro Preview (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.1-pro-preview:batch","title":"Google: Gemini 3.1 Pro Preview (batch)","abstract":"Google: Gemini 3.1 Pro Preview (batch) (google/gemini-3.1-pro-preview:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.1 Pro Preview (batch) (google/gemini-3.1-pro-preview:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.1-pro-preview-batch.html"}
{"id":"google/gemini-3.5-flash","label":"Google: Gemini 3.5 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01-01","releaseDate":"2026-05-19","pricing":{"inputPer1M":1.5,"outputPer1M":9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.5-flash","title":"Google: Gemini 3.5 Flash","abstract":"Google: Gemini 3.5 Flash (google/gemini-3.5-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.5 Flash (google/gemini-3.5-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.5 in / $9 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01-01. Release date: 2026-05-19. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.5-flash.html"}
{"id":"google/gemini-3.5-flash-lite","label":"Google: Gemini 3.5 Flash Lite","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03","releaseDate":"2026-07-21","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.5-flash-lite","title":"Google: Gemini 3.5 Flash Lite","abstract":"Google: Gemini 3.5 Flash Lite (google/gemini-3.5-flash-lite) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.5 Flash Lite (google/gemini-3.5-flash-lite) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-03. Release date: 2026-07-21. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.5-flash-lite.html"}
{"id":"google/gemini-3.5-flash-lite:batch","label":"Google: Gemini 3.5 Flash Lite (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"pricing":{"inputPer1M":0.15,"outputPer1M":1.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.5-flash-lite:batch","title":"Google: Gemini 3.5 Flash Lite (batch)","abstract":"Google: Gemini 3.5 Flash Lite (batch) (google/gemini-3.5-flash-lite:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.5 Flash Lite (batch) (google/gemini-3.5-flash-lite:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.15 in / $1.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.5-flash-lite-batch.html"}
{"id":"google/gemini-3.5-flash:batch","label":"Google: Gemini 3.5 Flash (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01-01","pricing":{"inputPer1M":0.75,"outputPer1M":4.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.5-flash:batch","title":"Google: Gemini 3.5 Flash (batch)","abstract":"Google: Gemini 3.5 Flash (batch) (google/gemini-3.5-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.5 Flash (batch) (google/gemini-3.5-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.75 in / $4.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2025-01-01. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.5-flash-batch.html"}
{"id":"google/gemini-3.6-flash","label":"Google: Gemini 3.6 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03","releaseDate":"2026-07-21","pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.6-flash","title":"Google: Gemini 3.6 Flash","abstract":"Google: Gemini 3.6 Flash (google/gemini-3.6-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.6 Flash (google/gemini-3.6-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-03. Release date: 2026-07-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.6-flash.html"}
{"id":"google/gemini-3.6-flash:batch","label":"Google: Gemini 3.6 Flash (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"pricing":{"inputPer1M":0.375,"outputPer1M":1.875,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.6-flash:batch","title":"Google: Gemini 3.6 Flash (batch)","abstract":"Google: Gemini 3.6 Flash (batch) (google/gemini-3.6-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.6 Flash (batch) (google/gemini-3.6-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.375 in / $1.875 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.6-flash-batch.html"}
{"id":"google/gemini-3.7-flash","label":"Google: Gemini 3.7 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03","releaseDate":"2026-08-13","pricing":{"inputPer1M":0.75,"outputPer1M":3.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.7-flash","title":"Google: Gemini 3.7 Flash","abstract":"Google: Gemini 3.7 Flash (google/gemini-3.7-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.7 Flash (google/gemini-3.7-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.75 in / $3.75 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-03. Release date: 2026-08-13. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.7-flash.html"}
{"id":"google/gemini-3.7-flash:batch","label":"Google: Gemini 3.7 Flash (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"pricing":{"inputPer1M":0.375,"outputPer1M":1.875,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.7-flash:batch","title":"Google: Gemini 3.7 Flash (batch)","abstract":"Google: Gemini 3.7 Flash (batch) (google/gemini-3.7-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.7 Flash (batch) (google/gemini-3.7-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.375 in / $1.875 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.7-flash-batch.html"}
{"id":"google/gemini-3.8-flash","label":"Google: Gemini 3.8 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-09-02","pricing":{"inputPer1M":0.75,"outputPer1M":3.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.8-flash","title":"Google: Gemini 3.8 Flash","abstract":"Google: Gemini 3.8 Flash (google/gemini-3.8-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.8 Flash (google/gemini-3.8-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.75 in / $3.75 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.8-flash.html"}
{"id":"google/gemini-3.8-flash:batch","label":"Google: Gemini 3.8 Flash (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"pricing":{"inputPer1M":0.375,"outputPer1M":1.875,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-3.8-flash:batch","title":"Google: Gemini 3.8 Flash (batch)","abstract":"Google: Gemini 3.8 Flash (batch) (google/gemini-3.8-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 3.8 Flash (batch) (google/gemini-3.8-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.375 in / $1.875 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-3.8-flash-batch.html"}
{"id":"google/gemini-4-argon","label":"Google: Gemini 4 Argon","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03","releaseDate":"2026-10-13","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-4-argon","title":"Google: Gemini 4 Argon","abstract":"Google: Gemini 4 Argon (google/gemini-4-argon) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 4 Argon (google/gemini-4-argon) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-03. Release date: 2026-10-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-4-argon.html"}
{"id":"google/gemini-4-argon:batch","label":"Google: Gemini 4 Argon (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-4-argon:batch","title":"Google: Gemini 4 Argon (batch)","abstract":"Google: Gemini 4 Argon (batch) (google/gemini-4-argon:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Google: Gemini 4 Argon (batch) (google/gemini-4-argon:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-4-argon-batch.html"}
{"id":"google/gemini-nano-banana-2.1","label":"Google: Nano Banana 2.1","kind":"CHAT","contextWindow":65536,"maxOutputTokens":58982,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image","text"]},"releaseDate":"2026-10-06","pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemini-nano-banana-2.1","title":"Google: Nano Banana 2.1","abstract":"Google: Nano Banana 2.1 (google/gemini-nano-banana-2.1) is a chat model from openrouter with a 65.5K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output image, text.","text":"Google: Nano Banana 2.1 (google/gemini-nano-banana-2.1) is a chat model from openrouter with a 65.5K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 58,982 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: image, text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-10-06. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemini-nano-banana-2.1.html"}
{"id":"google/gemma-2-27b-it","label":"Google: Gemma 2 27B","kind":"CHAT","contextWindow":8192,"maxOutputTokens":2048,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2024-07-13","pricing":{"inputPer1M":0.65,"outputPer1M":0.65,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemma-2-27b-it","title":"Google: Gemma 2 27B","abstract":"Google: Gemma 2 27B (google/gemma-2-27b-it) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text.","text":"Google: Gemma 2 27B (google/gemma-2-27b-it) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 2,048 tokens. Indicative price (US list): $0.65 in / $0.65 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2024-06-30. Release date: 2024-07-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemma-2-27b-it.html"}
{"id":"google/gemma-3-12b-it","label":"Google: Gemma 3 12B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-08-31","releaseDate":"2025-03-12","pricing":{"inputPer1M":0.05,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemma-3-12b-it","title":"Google: Gemma 3 12B","abstract":"Google: Gemma 3 12B (google/gemma-3-12b-it) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Google: Gemma 3 12B (google/gemma-3-12b-it) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.05 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-08-31. Release date: 2025-03-12. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemma-3-12b-it.html"}
{"id":"google/gemma-3-27b-it","label":"Google: Gemma 3 27B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":131072,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-08-31","releaseDate":"2025-03-12","pricing":{"inputPer1M":0.08,"outputPer1M":0.45,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemma-3-27b-it","title":"Google: Gemma 3 27B","abstract":"Google: Gemma 3 27B (google/gemma-3-27b-it) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Google: Gemma 3 27B (google/gemma-3-27b-it) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.08 in / $0.45 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-08-31. Release date: 2025-03-12. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemma-3-27b-it.html"}
{"id":"google/gemma-3-4b-it","label":"Google: Gemma 3 4B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":16384,"capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-08-31","releaseDate":"2025-03-12","pricing":{"inputPer1M":0.05,"outputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemma-3-4b-it","title":"Google: Gemma 3 4B","abstract":"Google: Gemma 3 4B (google/gemma-3-4b-it) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities vision; input image, text; output text.","text":"Google: Gemma 3 4B (google/gemma-3-4b-it) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.05 in / $0.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: vision. Weights: Open-weight. Knowledge cutoff: 2024-08-31. Release date: 2025-03-12. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemma-3-4b-it.html"}
{"id":"google/gemma-4-26b-a4b-it","label":"Google: Gemma 4 26B A4B ","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-04-02","pricing":{"inputPer1M":0.12,"outputPer1M":0.35,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemma-4-26b-a4b-it","title":"Google: Gemma 4 26B A4B ","abstract":"Google: Gemma 4 26B A4B  (google/gemma-4-26b-a4b-it) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Google: Gemma 4 26B A4B  (google/gemma-4-26b-a4b-it) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.12 in / $0.35 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-04-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemma-4-26b-a4b-it.html"}
{"id":"google/gemma-4-26b-a4b-it:free","label":"Google: Gemma 4 26B A4B  (free)","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-04-02","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemma-4-26b-a4b-it:free","title":"Google: Gemma 4 26B A4B  (free)","abstract":"Google: Gemma 4 26B A4B  (free) (google/gemma-4-26b-a4b-it:free) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Google: Gemma 4 26B A4B  (free) (google/gemma-4-26b-a4b-it:free) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-04-02. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemma-4-26b-a4b-it-free.html"}
{"id":"google/gemma-4-31b-it","label":"Google: Gemma 4 31B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-04-02","pricing":{"inputPer1M":0.14,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemma-4-31b-it","title":"Google: Gemma 4 31B","abstract":"Google: Gemma 4 31B (google/gemma-4-31b-it) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Google: Gemma 4 31B (google/gemma-4-31b-it) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.14 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-04-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemma-4-31b-it.html"}
{"id":"google/gemma-4-31b-it:free","label":"Google: Gemma 4 31B (free)","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-04-02","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/gemma-4-31b-it:free","title":"Google: Gemma 4 31B (free)","abstract":"Google: Gemma 4 31B (free) (google/gemma-4-31b-it:free) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Google: Gemma 4 31B (free) (google/gemma-4-31b-it:free) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-04-02. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-gemma-4-31b-it-free.html"}
{"id":"google/lyria-3-clip-preview","label":"Google: Lyria 3 Clip Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["audio","text"]},"releaseDate":"2026-03-25","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/lyria-3-clip-preview","title":"Google: Lyria 3 Clip Preview","abstract":"Google: Lyria 3 Clip Preview (google/lyria-3-clip-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities vision; input image, text; output audio, text.","text":"Google: Lyria 3 Clip Preview (google/lyria-3-clip-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities vision; input image, text; output audio, text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Input modalities: image, text. Output modalities: audio, text. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-03-25. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-lyria-3-clip-preview.html"}
{"id":"google/lyria-3-pro-preview","label":"Google: Lyria 3 Pro Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["audio","text"]},"releaseDate":"2026-03-25","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/google/lyria-3-pro-preview","title":"Google: Lyria 3 Pro Preview","abstract":"Google: Lyria 3 Pro Preview (google/lyria-3-pro-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities vision; input image, text; output audio, text.","text":"Google: Lyria 3 Pro Preview (google/lyria-3-pro-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities vision; input image, text; output audio, text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Input modalities: image, text. Output modalities: audio, text. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-03-25. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/google-lyria-3-pro-preview.html"}
{"id":"gryphe/mythomax-l2-13b","label":"MythoMax 13B","kind":"CHAT","contextWindow":8192,"maxOutputTokens":4096,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-06-30","releaseDate":"2023-08-10","pricing":{"inputPer1M":1.875,"outputPer1M":1.875,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/gryphe/mythomax-l2-13b","title":"MythoMax 13B","abstract":"MythoMax 13B (gryphe/mythomax-l2-13b) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text.","text":"MythoMax 13B (gryphe/mythomax-l2-13b) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $1.875 in / $1.875 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2023-06-30. Release date: 2023-08-10. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/gryphe-mythomax-l2-13b.html"}
{"id":"ibm-granite/granite-4.2-8b","label":"IBM: Granite 4.2 8B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":117964,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-25","pricing":{"inputPer1M":0.06,"outputPer1M":0.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":5.1,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":58.55,"latencyTtftSec":0.73,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/ibm-granite/granite-4.2-8b","title":"IBM: Granite 4.2 8B","abstract":"IBM: Granite 4.2 8B (ibm-granite/granite-4.2-8b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"IBM: Granite 4.2 8B (ibm-granite/granite-4.2-8b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 117,964 tokens. Indicative price (US list): $0.06 in / $0.25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 5.1 (cited from Artificial Analysis — verify at the source). Cited speed: 58.55 tokens/s · 0.73s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-25. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/ibm-granite-granite-4.2-8b.html"}
{"id":"inception/mercury-2","label":"Inception: Mercury 2","kind":"CHAT","contextWindow":128000,"maxOutputTokens":50000,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-02-24","pricing":{"inputPer1M":0.25,"outputPer1M":0.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":13.8,"scores":{"coding":{"value":31.1}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":514.07,"latencyTtftSec":7.46,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/inception/mercury-2","title":"Inception: Mercury 2","abstract":"Inception: Mercury 2 (inception/mercury-2) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Inception: Mercury 2 (inception/mercury-2) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 50,000 tokens. Indicative price (US list): $0.25 in / $0.75 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 13.8 · coding 31.1 (cited from Artificial Analysis — verify at the source). Cited speed: 514.07 tokens/s · 7.46s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-02-24. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/inception-mercury-2.html"}
{"id":"inception/mercury-2.5","label":"Inception: Mercury 2.5","kind":"CHAT","contextWindow":260000,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-09-08","pricing":{"inputPer1M":0.04,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"performance":{"throughputTps":724.17,"latencyTtftSec":3.03,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/inception/mercury-2.5","title":"Inception: Mercury 2.5","abstract":"Inception: Mercury 2.5 (inception/mercury-2.5) is a chat model from openrouter with a 260K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Inception: Mercury 2.5 (inception/mercury-2.5) is a chat model from openrouter with a 260K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 260,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.04 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 724.17 tokens/s · 3.03s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-08. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/inception-mercury-2.5.html"}
{"id":"inception/mercury-3","label":"Inception: Mercury 3","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-10-16","pricing":{"inputPer1M":0.1,"outputPer1M":0.35,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/inception/mercury-3","title":"Inception: Mercury 3","abstract":"Inception: Mercury 3 (inception/mercury-3) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Inception: Mercury 3 (inception/mercury-3) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.1 in / $0.35 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-10-16. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/inception-mercury-3.html"}
{"id":"inclusionai/ling-3.0-flash","label":"inclusionAI: Ling 3.0 Flash","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-07-23","pricing":{"inputPer1M":0.021,"outputPer1M":0.063,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"performance":{"throughputTps":303.87,"latencyTtftSec":1.71,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/inclusionai/ling-3.0-flash","title":"inclusionAI: Ling 3.0 Flash","abstract":"inclusionAI: Ling 3.0 Flash (inclusionai/ling-3.0-flash) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"inclusionAI: Ling 3.0 Flash (inclusionai/ling-3.0-flash) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.021 in / $0.063 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 303.87 tokens/s · 1.71s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-07-23. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/inclusionai-ling-3.0-flash.html"}
{"id":"inclusionai/ling-3.0-flash-vl","label":"inclusionAI: Ling 3.0 Flash VL","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-09-10","pricing":{"inputPer1M":0.021,"outputPer1M":0.0616,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/inclusionai/ling-3.0-flash-vl","title":"inclusionAI: Ling 3.0 Flash VL","abstract":"inclusionAI: Ling 3.0 Flash VL (inclusionai/ling-3.0-flash-vl) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"inclusionAI: Ling 3.0 Flash VL (inclusionai/ling-3.0-flash-vl) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.021 in / $0.0616 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-09-10. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/inclusionai-ling-3.0-flash-vl.html"}
{"id":"inclusionai/ling-3.0-tiny","label":"inclusionAI: Ling 3.0 Tiny","kind":"CHAT","contextWindow":262144,"maxOutputTokens":250000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-06","pricing":{"inputPer1M":0.015,"outputPer1M":0.045,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-11-05"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/inclusionai/ling-3.0-tiny","title":"inclusionAI: Ling 3.0 Tiny","abstract":"inclusionAI: Ling 3.0 Tiny (inclusionai/ling-3.0-tiny) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"inclusionAI: Ling 3.0 Tiny (inclusionai/ling-3.0-tiny) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 250,000 tokens. Indicative price (US list): $0.015 in / $0.045 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-06. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/inclusionai-ling-3.0-tiny.html"}
{"id":"inclusionai/ling-3.1-flash","label":"inclusionAI: Ling 3.1 Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":262144,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-09-29","pricing":{"inputPer1M":0.075,"outputPer1M":0.225,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"performance":{"throughputTps":212.16,"latencyTtftSec":1.75,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/inclusionai/ling-3.1-flash","title":"inclusionAI: Ling 3.1 Flash","abstract":"inclusionAI: Ling 3.1 Flash (inclusionai/ling-3.1-flash) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"inclusionAI: Ling 3.1 Flash (inclusionai/ling-3.1-flash) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.075 in / $0.225 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 212.16 tokens/s · 1.75s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-09-29. Sources: artificial-analysis, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/inclusionai-ling-3.1-flash.html"}
{"id":"inference-net/schematron-v2-small","label":"Inference.net: Schematron V2 Small","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-04-16","pricing":{"inputPer1M":0.05,"outputPer1M":0.23,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/inference-net/schematron-v2-small","title":"Inference.net: Schematron V2 Small","abstract":"Inference.net: Schematron V2 Small (inference-net/schematron-v2-small) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); input text; output text.","text":"Inference.net: Schematron V2 Small (inference-net/schematron-v2-small) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.05 in / $0.23 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Release date: 2026-04-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/inference-net-schematron-v2-small.html"}
{"id":"inference-net/schematron-v2-turbo","label":"Inference.net: Schematron V2 Turbo","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8192,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-04-16","pricing":{"inputPer1M":0.03,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/inference-net/schematron-v2-turbo","title":"Inference.net: Schematron V2 Turbo","abstract":"Inference.net: Schematron V2 Turbo (inference-net/schematron-v2-turbo) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); input text; output text.","text":"Inference.net: Schematron V2 Turbo (inference-net/schematron-v2-turbo) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.03 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Release date: 2026-04-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/inference-net-schematron-v2-turbo.html"}
{"id":"liquid/lfm-2.5-2.6b","label":"LiquidAI: LFM2.5-2.6B","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-11","pricing":{"inputPer1M":0.35,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/liquid/lfm-2.5-2.6b","title":"LiquidAI: LFM2.5-2.6B","abstract":"LiquidAI: LFM2.5-2.6B (liquid/lfm-2.5-2.6b) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"LiquidAI: LFM2.5-2.6B (liquid/lfm-2.5-2.6b) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.35 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-11. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/liquid-lfm-2.5-2.6b.html"}
{"id":"liquid/lfm-2.5-2.6b:free","label":"LiquidAI: LFM2.5-2.6B (free)","kind":"CHAT","contextWindow":65536,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-11","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/liquid/lfm-2.5-2.6b:free","title":"LiquidAI: LFM2.5-2.6B (free)","abstract":"LiquidAI: LFM2.5-2.6B (free) (liquid/lfm-2.5-2.6b:free) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"LiquidAI: LFM2.5-2.6B (free) (liquid/lfm-2.5-2.6b:free) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 8,192 tokens. Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-11. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/liquid-lfm-2.5-2.6b-free.html"}
{"id":"liquid/lfm-2.5-24b-a2b","label":"LiquidAI: LFM2.5-24B-A2B","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-10-13","pricing":{"inputPer1M":0.05,"outputPer1M":0.7,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/liquid/lfm-2.5-24b-a2b","title":"LiquidAI: LFM2.5-24B-A2B","abstract":"LiquidAI: LFM2.5-24B-A2B (liquid/lfm-2.5-24b-a2b) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"LiquidAI: LFM2.5-24B-A2B (liquid/lfm-2.5-24b-a2b) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.05 in / $0.7 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-10-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/liquid-lfm-2.5-24b-a2b.html"}
{"id":"mancer/weaver","label":"Mancer: Weaver (alpha)","kind":"CHAT","contextWindow":8000,"maxOutputTokens":2000,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-06-30","releaseDate":"2023-08-02","pricing":{"inputPer1M":5.625,"outputPer1M":5.625,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mancer/weaver","title":"Mancer: Weaver (alpha)","abstract":"Mancer: Weaver (alpha) (mancer/weaver) is a chat model from openrouter with a 8K-token context window; proprietary (API-only); input text; output text.","text":"Mancer: Weaver (alpha) (mancer/weaver) is a chat model from openrouter with a 8K-token context window; proprietary (API-only); input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 8,000 tokens. Max output tokens: 2,000 tokens. Indicative price (US list): $5.625 in / $5.625 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Knowledge cutoff: 2023-06-30. Release date: 2023-08-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mancer-weaver.html"}
{"id":"meituan/longcat-2.0","label":"Meituan: LongCat 2.0","kind":"CHAT","contextWindow":1048756,"maxOutputTokens":262144,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-06-30","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":19.1,"scores":{"coding":{"value":45.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":59.98,"latencyTtftSec":2.77,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meituan/longcat-2.0","title":"Meituan: LongCat 2.0","abstract":"Meituan: LongCat 2.0 (meituan/longcat-2.0) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Meituan: LongCat 2.0 (meituan/longcat-2.0) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,756 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 19.1 · coding 45.3 (cited from Artificial Analysis — verify at the source). Cited speed: 59.98 tokens/s · 2.77s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-06-30. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meituan-longcat-2.0.html"}
{"id":"meta-llama/llama-3-70b-instruct","label":"Llama 3 70B Instruct (via OpenRouter)","kind":"CHAT","contextWindow":8192,"maxOutputTokens":8000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.59,"outputPer1M":0.79,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":5.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":44.571,"latencyTtftSec":0.614,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-22"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta-llama/llama-3-70b-instruct","title":"Llama 3 70B Instruct (via OpenRouter)","abstract":"Llama 3 70B Instruct (via OpenRouter) (meta-llama/llama-3-70b-instruct) is a chat model from openrouter with a 8.2K-token context window; input text.","text":"Llama 3 70B Instruct (via OpenRouter) (meta-llama/llama-3-70b-instruct) is a chat model from openrouter with a 8.2K-token context window; input text. Vendor: openrouter. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 8,000 tokens. Indicative price (US list): $0.59 in / $0.79 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 5.5 (cited from Artificial Analysis — verify at the source). Cited speed: 44.571 tokens/s · 0.614s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-llama-llama-3-70b-instruct.html"}
{"id":"meta-llama/llama-3.1-70b-instruct","label":"Meta: Llama 3.1 70B Instruct","kind":"CHAT","contextWindow":131072,"maxOutputTokens":16384,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12-31","releaseDate":"2024-07-23","pricing":{"inputPer1M":0.4,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":6.6,"scores":{"math":{"value":4}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":18.86,"latencyTtftSec":2.12,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta-llama/llama-3.1-70b-instruct","title":"Meta: Llama 3.1 70B Instruct","abstract":"Meta: Llama 3.1 70B Instruct (meta-llama/llama-3.1-70b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Meta: Llama 3.1 70B Instruct (meta-llama/llama-3.1-70b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.4 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.6 · math 4 (cited from Artificial Analysis — verify at the source). Cited speed: 18.86 tokens/s · 2.12s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2023-12-31. Release date: 2024-07-23. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-llama-llama-3.1-70b-instruct.html"}
{"id":"meta-llama/llama-3.1-8b-instruct","label":"Meta: Llama 3.1 8B Instruct","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12-31","releaseDate":"2024-07-23","pricing":{"inputPer1M":0.05,"outputPer1M":0.08,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":6.9,"scores":{"coding":{"value":5.4},"math":{"value":4.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":141.42,"latencyTtftSec":0.91,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta-llama/llama-3.1-8b-instruct","title":"Meta: Llama 3.1 8B Instruct","abstract":"Meta: Llama 3.1 8B Instruct (meta-llama/llama-3.1-8b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Meta: Llama 3.1 8B Instruct (meta-llama/llama-3.1-8b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.05 in / $0.08 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.9 · coding 5.4 · math 4.3 (cited from Artificial Analysis — verify at the source). Cited speed: 141.42 tokens/s · 0.91s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2023-12-31. Release date: 2024-07-23. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-llama-llama-3.1-8b-instruct.html"}
{"id":"meta-llama/llama-3.2-1b-instruct","label":"Meta: Llama 3.2 1B Instruct","kind":"CHAT","contextWindow":60000,"maxOutputTokens":60000,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12-31","releaseDate":"2024-09-25","pricing":{"inputPer1M":0.027,"outputPer1M":0.201,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":4.8,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta-llama/llama-3.2-1b-instruct","title":"Meta: Llama 3.2 1B Instruct","abstract":"Meta: Llama 3.2 1B Instruct (meta-llama/llama-3.2-1b-instruct) is a chat model from openrouter with a 60K-token context window; open-weight; input text; output text.","text":"Meta: Llama 3.2 1B Instruct (meta-llama/llama-3.2-1b-instruct) is a chat model from openrouter with a 60K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 60,000 tokens. Max output tokens: 60,000 tokens. Indicative price (US list): $0.027 in / $0.201 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 4.8 (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2023-12-31. Release date: 2024-09-25. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-llama-llama-3.2-1b-instruct.html"}
{"id":"meta-llama/llama-3.2-3b-instruct","label":"Meta: Llama 3.2 3B Instruct","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12-31","releaseDate":"2024-09-25","pricing":{"inputPer1M":0.05,"outputPer1M":0.33,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":5.7,"scores":{"math":{"value":3.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta-llama/llama-3.2-3b-instruct","title":"Meta: Llama 3.2 3B Instruct","abstract":"Meta: Llama 3.2 3B Instruct (meta-llama/llama-3.2-3b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; input text; output text.","text":"Meta: Llama 3.2 3B Instruct (meta-llama/llama-3.2-3b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.05 in / $0.33 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 5.7 · math 3.3 (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2023-12-31. Release date: 2024-09-25. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-llama-llama-3.2-3b-instruct.html"}
{"id":"meta-llama/llama-3.3-70b-instruct","label":"Meta: Llama 3.3 70B Instruct","kind":"CHAT","contextWindow":131072,"maxOutputTokens":128000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12-31","releaseDate":"2024-12-06","pricing":{"inputPer1M":0.13,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":7.7,"scores":{"coding":{"value":11.9},"math":{"value":7.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":86.9,"latencyTtftSec":1.9,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta-llama/llama-3.3-70b-instruct","title":"Meta: Llama 3.3 70B Instruct","abstract":"Meta: Llama 3.3 70B Instruct (meta-llama/llama-3.3-70b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Meta: Llama 3.3 70B Instruct (meta-llama/llama-3.3-70b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.13 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 7.7 · coding 11.9 · math 7.7 (cited from Artificial Analysis — verify at the source). Cited speed: 86.9 tokens/s · 1.9s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2023-12-31. Release date: 2024-12-06. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-llama-llama-3.3-70b-instruct.html"}
{"id":"meta-llama/llama-4-maverick","label":"Meta: Llama 4 Maverick","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-08-31","releaseDate":"2025-04-05","pricing":{"inputPer1M":0.2,"outputPer1M":0.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":10,"scores":{"coding":{"value":16.3},"math":{"value":19.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":61.58,"latencyTtftSec":0.99,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta-llama/llama-4-maverick","title":"Meta: Llama 4 Maverick","abstract":"Meta: Llama 4 Maverick (meta-llama/llama-4-maverick) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Meta: Llama 4 Maverick (meta-llama/llama-4-maverick) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.2 in / $0.8 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 10 · coding 16.3 · math 19.3 (cited from Artificial Analysis — verify at the source). Cited speed: 61.58 tokens/s · 0.99s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-08-31. Release date: 2025-04-05. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-llama-llama-4-maverick.html"}
{"id":"meta-llama/llama-4-scout","label":"Meta: Llama 4 Scout","kind":"CHAT","contextWindow":1310720,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-08-31","releaseDate":"2025-04-05","pricing":{"inputPer1M":0.1,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":8.1,"scores":{"coding":{"value":8.2},"math":{"value":14}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":95.57,"latencyTtftSec":0.83,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta-llama/llama-4-scout","title":"Meta: Llama 4 Scout","abstract":"Meta: Llama 4 Scout (meta-llama/llama-4-scout) is a chat model from openrouter with a 1.3M-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Meta: Llama 4 Scout (meta-llama/llama-4-scout) is a chat model from openrouter with a 1.3M-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,310,720 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.1 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 8.1 · coding 8.2 · math 14 (cited from Artificial Analysis — verify at the source). Cited speed: 95.57 tokens/s · 0.83s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-08-31. Release date: 2025-04-05. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-llama-llama-4-scout.html"}
{"id":"meta-llama/llama-guard-4-12b","label":"Meta: Llama Guard 4 12B","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":16384,"capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-08-31","releaseDate":"2025-04-29","pricing":{"inputPer1M":0.18,"outputPer1M":0.18,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta-llama/llama-guard-4-12b","title":"Meta: Llama Guard 4 12B","abstract":"Meta: Llama Guard 4 12B (meta-llama/llama-guard-4-12b) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities vision; input image, text; output text.","text":"Meta: Llama Guard 4 12B (meta-llama/llama-guard-4-12b) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.18 in / $0.18 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: vision. Weights: Open-weight. Knowledge cutoff: 2024-08-31. Release date: 2025-04-29. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-llama-llama-guard-4-12b.html"}
{"id":"meta/muse-glimmer-30b","label":"Meta: Muse Glimmer 30B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":16384,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2026-01-04","releaseDate":"2026-08-10","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta/muse-glimmer-30b","title":"Meta: Muse Glimmer 30B","abstract":"Meta: Muse Glimmer 30B (meta/muse-glimmer-30b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Meta: Muse Glimmer 30B (meta/muse-glimmer-30b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2026-01-04. Release date: 2026-08-10. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-muse-glimmer-30b.html"}
{"id":"meta/muse-spark-1.1","label":"Meta: Muse Spark 1.1","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-04-08","pricing":{"inputPer1M":1.25,"outputPer1M":4.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":33.7,"scores":{"coding":{"value":71.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":124.125,"latencyTtftSec":0.925,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta/muse-spark-1.1","title":"Meta: Muse Spark 1.1","abstract":"Meta: Muse Spark 1.1 (meta/muse-spark-1.1) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Meta: Muse Spark 1.1 (meta/muse-spark-1.1) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $1.25 in / $4.25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 33.7 · coding 71.3 (cited from Artificial Analysis — verify at the source). Cited speed: 124.125 tokens/s · 0.925s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-04-08. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-muse-spark-1.1.html"}
{"id":"meta/muse-spark-1.2","label":"Meta: Muse Spark 1.2","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-08-05","pricing":{"inputPer1M":1.25,"outputPer1M":4.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta/muse-spark-1.2","title":"Meta: Muse Spark 1.2","abstract":"Meta: Muse Spark 1.2 (meta/muse-spark-1.2) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Meta: Muse Spark 1.2 (meta/muse-spark-1.2) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $1.25 in / $4.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-08-05. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-muse-spark-1.2.html"}
{"id":"meta/muse-spark-1.2-contributor","label":"Meta: Muse Spark 1.2 Contributor","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-08-21","pricing":{"inputPer1M":0.1,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta/muse-spark-1.2-contributor","title":"Meta: Muse Spark 1.2 Contributor","abstract":"Meta: Muse Spark 1.2 Contributor (meta/muse-spark-1.2-contributor) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Meta: Muse Spark 1.2 Contributor (meta/muse-spark-1.2-contributor) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $0.1 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-08-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-muse-spark-1.2-contributor.html"}
{"id":"meta/muse-spark-1.3","label":"Meta: Muse Spark 1.3","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-09-02","pricing":{"inputPer1M":1.25,"outputPer1M":4.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":36.4,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta/muse-spark-1.3","title":"Meta: Muse Spark 1.3","abstract":"Meta: Muse Spark 1.3 (meta/muse-spark-1.3) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Meta: Muse Spark 1.3 (meta/muse-spark-1.3) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $1.25 in / $4.25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 36.4 (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-muse-spark-1.3.html"}
{"id":"meta/muse-spark-1.3-contributor","label":"Meta: Muse Spark 1.3 Contributor","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-09-02","pricing":{"inputPer1M":0.1,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta/muse-spark-1.3-contributor","title":"Meta: Muse Spark 1.3 Contributor","abstract":"Meta: Muse Spark 1.3 Contributor (meta/muse-spark-1.3-contributor) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Meta: Muse Spark 1.3 Contributor (meta/muse-spark-1.3-contributor) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $0.1 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-muse-spark-1.3-contributor.html"}
{"id":"meta/muse-spark-open","label":"Meta: Muse Spark Open","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2026-01-04","releaseDate":"2026-10-15","pricing":{"inputPer1M":1.25,"outputPer1M":4.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta/muse-spark-open","title":"Meta: Muse Spark Open","abstract":"Meta: Muse Spark Open (meta/muse-spark-open) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Meta: Muse Spark Open (meta/muse-spark-open) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.25 in / $4.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2026-01-04. Release date: 2026-10-15. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-muse-spark-open.html"}
{"id":"meta/muse-wonder","label":"Meta: Muse Wonder","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-10-12","pricing":{"inputPer1M":4,"outputPer1M":20,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":43.6,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":135.7,"latencyTtftSec":44.95,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/meta/muse-wonder","title":"Meta: Muse Wonder","abstract":"Meta: Muse Wonder (meta/muse-wonder) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text.","text":"Meta: Muse Wonder (meta/muse-wonder) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $4 in / $20 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 43.6 (cited from Artificial Analysis — verify at the source). Cited speed: 135.7 tokens/s · 44.95s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-10-12. Sources: artificial-analysis, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/meta-muse-wonder.html"}
{"id":"microsoft/phi-4","label":"Microsoft: Phi 4","kind":"CHAT","contextWindow":16384,"maxOutputTokens":16384,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-01-10","pricing":{"inputPer1M":0.07,"outputPer1M":0.14,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":5.9,"scores":{"math":{"value":18}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":40.91,"latencyTtftSec":2.58,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/microsoft/phi-4","title":"Microsoft: Phi 4","abstract":"Microsoft: Phi 4 (microsoft/phi-4) is a chat model from openrouter with a 16.4K-token context window; open-weight; input text; output text.","text":"Microsoft: Phi 4 (microsoft/phi-4) is a chat model from openrouter with a 16.4K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 16,384 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.07 in / $0.14 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 5.9 · math 18 (cited from Artificial Analysis — verify at the source). Cited speed: 40.91 tokens/s · 2.58s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2024-06-30. Release date: 2025-01-10. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/microsoft-phi-4.html"}
{"id":"minimax/minimax-m1","label":"MiniMax: MiniMax M1","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":40000,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-06-17","pricing":{"inputPer1M":0.55,"outputPer1M":2.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/minimax/minimax-m1","title":"MiniMax: MiniMax M1","abstract":"MiniMax: MiniMax M1 (minimax/minimax-m1) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"MiniMax: MiniMax M1 (minimax/minimax-m1) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 40,000 tokens. Indicative price (US list): $0.55 in / $2.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-06-30. Release date: 2025-06-17. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/minimax-minimax-m1.html"}
{"id":"minimax/minimax-m2.5","label":"MiniMax: MiniMax M2.5","kind":"CHAT","contextWindow":196608,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-02-12","pricing":{"inputPer1M":0.3,"outputPer1M":1.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/minimax/minimax-m2.5","title":"MiniMax: MiniMax M2.5","abstract":"MiniMax: MiniMax M2.5 (minimax/minimax-m2.5) is a chat model from openrouter with a 196.6K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"MiniMax: MiniMax M2.5 (minimax/minimax-m2.5) is a chat model from openrouter with a 196.6K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 196,608 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.3 in / $1.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-02-12. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/minimax-minimax-m2.5.html"}
{"id":"minimax/minimax-m2.7","label":"MiniMax: MiniMax M2.7","kind":"CHAT","contextWindow":204800,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-03-18","pricing":{"inputPer1M":0.25,"outputPer1M":1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/minimax/minimax-m2.7","title":"MiniMax: MiniMax M2.7","abstract":"MiniMax: MiniMax M2.7 (minimax/minimax-m2.7) is a chat model from openrouter with a 204.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"MiniMax: MiniMax M2.7 (minimax/minimax-m2.7) is a chat model from openrouter with a 204.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 204,800 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.25 in / $1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-03-18. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/minimax-minimax-m2.7.html"}
{"id":"minimax/minimax-m3","label":"MiniMax: MiniMax M3","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":512000,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-06-01","pricing":{"inputPer1M":0.3,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/minimax/minimax-m3","title":"MiniMax: MiniMax M3","abstract":"MiniMax: MiniMax M3 (minimax/minimax-m3) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"MiniMax: MiniMax M3 (minimax/minimax-m3) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 512,000 tokens. Indicative price (US list): $0.3 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-06-01. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/minimax-minimax-m3.html"}
{"id":"minimax/minimax-m3.1-flash","label":"MiniMax: MiniMax M3.1 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":524288,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-10-19","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/minimax/minimax-m3.1-flash","title":"MiniMax: MiniMax M3.1 Flash","abstract":"MiniMax: MiniMax M3.1 Flash (minimax/minimax-m3.1-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"MiniMax: MiniMax M3.1 Flash (minimax/minimax-m3.1-flash) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 524,288 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-10-19. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/minimax-minimax-m3.1-flash.html"}
{"id":"mistralai/codestral-2508","label":"Mistral: Codestral 2508","kind":"CHAT","contextWindow":256000,"maxOutputTokens":204800,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-07-30","pricing":{"inputPer1M":0.3,"outputPer1M":0.9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/codestral-2508","title":"Mistral: Codestral 2508","abstract":"Mistral: Codestral 2508 (mistralai/codestral-2508) is a chat model from openrouter with a 256K-token context window; proprietary (API-only); capabilities tools; input pdf, text; output text.","text":"Mistral: Codestral 2508 (mistralai/codestral-2508) is a chat model from openrouter with a 256K-token context window; proprietary (API-only); capabilities tools; input pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 204,800 tokens. Indicative price (US list): $0.3 in / $0.9 out per 1M tokens (indicative US list — verify with vendor). Input modalities: pdf, text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2025-03-31. Release date: 2025-07-30. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-codestral-2508.html"}
{"id":"mistralai/devstral-2512","label":"Mistral: Devstral 2 2512","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-12","releaseDate":"2025-12-09","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/devstral-2512","title":"Mistral: Devstral 2 2512","abstract":"Mistral: Devstral 2 2512 (mistralai/devstral-2512) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input pdf, text; output text.","text":"Mistral: Devstral 2 2512 (mistralai/devstral-2512) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: pdf, text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-12. Release date: 2025-12-09. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-devstral-2512.html"}
{"id":"mistralai/ministral-14b-2512","label":"Mistral: Ministral 3 14B 2512","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2025-12-02","pricing":{"inputPer1M":0.2,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/ministral-14b-2512","title":"Mistral: Ministral 3 14B 2512","abstract":"Mistral: Ministral 3 14B 2512 (mistralai/ministral-14b-2512) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Mistral: Ministral 3 14B 2512 (mistralai/ministral-14b-2512) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.2 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Release date: 2025-12-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-ministral-14b-2512.html"}
{"id":"mistralai/ministral-3b-2512","label":"Mistral: Ministral 3 3B 2512","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2025-12-02","pricing":{"inputPer1M":0.1,"outputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/ministral-3b-2512","title":"Mistral: Ministral 3 3B 2512","abstract":"Mistral: Ministral 3 3B 2512 (mistralai/ministral-3b-2512) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Mistral: Ministral 3 3B 2512 (mistralai/ministral-3b-2512) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.1 in / $0.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Release date: 2025-12-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-ministral-3b-2512.html"}
{"id":"mistralai/ministral-8b-2512","label":"Mistral: Ministral 3 8B 2512","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2025-12-02","pricing":{"inputPer1M":0.15,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/ministral-8b-2512","title":"Mistral: Ministral 3 8B 2512","abstract":"Mistral: Ministral 3 8B 2512 (mistralai/ministral-8b-2512) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Mistral: Ministral 3 8B 2512 (mistralai/ministral-8b-2512) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.15 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Release date: 2025-12-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-ministral-8b-2512.html"}
{"id":"mistralai/mistral-large","label":"Mistral Large","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8191,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-11-30","pricing":{"inputPer1M":8,"outputPer1M":24,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-large","title":"Mistral Large","abstract":"Mistral Large (mistralai/mistral-large) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools; input pdf, text; output text.","text":"Mistral Large (mistralai/mistral-large) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools; input pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,191 tokens. Indicative price (US list): $8 in / $24 out per 1M tokens (indicative US list — verify with vendor). Input modalities: pdf, text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2024-11-30. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-large.html"}
{"id":"mistralai/mistral-large-2407","label":"Mistral Large 2407","kind":"CHAT","contextWindow":131072,"maxOutputTokens":104857,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-03-31","releaseDate":"2024-07-24","pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":6.8,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-large-2407","title":"Mistral Large 2407","abstract":"Mistral Large 2407 (mistralai/mistral-large-2407) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input pdf, text; output text.","text":"Mistral Large 2407 (mistralai/mistral-large-2407) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 104,857 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.8 (cited from Artificial Analysis — verify at the source). Input modalities: pdf, text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-03-31. Release date: 2024-07-24. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-large-2407.html"}
{"id":"mistralai/mistral-large-2512","label":"Mistral: Mistral Large 3 2512","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-11","releaseDate":"2025-12-02","pricing":{"inputPer1M":0.5,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-large-2512","title":"Mistral: Mistral Large 3 2512","abstract":"Mistral: Mistral Large 3 2512 (mistralai/mistral-large-2512) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text.","text":"Mistral: Mistral Large 3 2512 (mistralai/mistral-large-2512) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.5 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-11. Release date: 2025-12-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-large-2512.html"}
{"id":"mistralai/mistral-large-4-0","label":"Mistral: Mistral Large 4","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":262144,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-10-06","pricing":{"inputPer1M":0.7,"outputPer1M":2.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-large-4-0","title":"Mistral: Mistral Large 4","abstract":"Mistral: Mistral Large 4 (mistralai/mistral-large-4-0) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text.","text":"Mistral: Mistral Large 4 (mistralai/mistral-large-4-0) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.7 in / $2.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-10-06. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-large-4-0.html"}
{"id":"mistralai/mistral-medium-3","label":"Mistral: Mistral Medium 3","kind":"CHAT","contextWindow":131072,"maxOutputTokens":104857,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-05-07","pricing":{"inputPer1M":0.4,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":9,"scores":{"math":{"value":30.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":44.72,"latencyTtftSec":2.36,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-medium-3","title":"Mistral: Mistral Medium 3","abstract":"Mistral: Mistral Medium 3 (mistralai/mistral-medium-3) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"Mistral: Mistral Medium 3 (mistralai/mistral-medium-3) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 104,857 tokens. Indicative price (US list): $0.4 in / $2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 9 · math 30.3 (cited from Artificial Analysis — verify at the source). Cited speed: 44.72 tokens/s · 2.36s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-03-31. Release date: 2025-05-07. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-medium-3.html"}
{"id":"mistralai/mistral-medium-3-5","label":"Mistral: Mistral Medium 3.5","kind":"CHAT","contextWindow":262144,"maxOutputTokens":209715,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-04-30","pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-medium-3-5","title":"Mistral: Mistral Medium 3.5","abstract":"Mistral: Mistral Medium 3.5 (mistralai/mistral-medium-3-5) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"Mistral: Mistral Medium 3.5 (mistralai/mistral-medium-3-5) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 209,715 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-04-30. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-medium-3-5.html"}
{"id":"mistralai/mistral-medium-3-5:batch","label":"Mistral: Mistral Medium 3.5 (batch)","kind":"CHAT","contextWindow":262144,"maxOutputTokens":209715,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.75,"outputPer1M":3.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-medium-3-5:batch","title":"Mistral: Mistral Medium 3.5 (batch)","abstract":"Mistral: Mistral Medium 3.5 (batch) (mistralai/mistral-medium-3-5:batch) is a chat model from openrouter with a 262.1K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Mistral: Mistral Medium 3.5 (batch) (mistralai/mistral-medium-3-5:batch) is a chat model from openrouter with a 262.1K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 209,715 tokens. Indicative price (US list): $0.75 in / $3.75 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-medium-3-5-batch.html"}
{"id":"mistralai/mistral-medium-3.1","label":"Mistral: Mistral Medium 3.1","kind":"CHAT","contextWindow":131072,"maxOutputTokens":104857,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-06-30","releaseDate":"2025-08-12","pricing":{"inputPer1M":0.4,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":9.2,"scores":{"coding":{"value":20.5},"math":{"value":38.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-medium-3.1","title":"Mistral: Mistral Medium 3.1","abstract":"Mistral: Mistral Medium 3.1 (mistralai/mistral-medium-3.1) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"Mistral: Mistral Medium 3.1 (mistralai/mistral-medium-3.1) is a chat model from openrouter with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 104,857 tokens. Indicative price (US list): $0.4 in / $2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 9.2 · coding 20.5 · math 38.3 (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-06-30. Release date: 2025-08-12. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-medium-3.1.html"}
{"id":"mistralai/mistral-nemo","label":"Mistral: Mistral Nemo","kind":"CHAT","contextWindow":131072,"maxOutputTokens":16384,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04-30","releaseDate":"2024-07-18","pricing":{"inputPer1M":0.019,"outputPer1M":0.03,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-nemo","title":"Mistral: Mistral Nemo","abstract":"Mistral: Mistral Nemo (mistralai/mistral-nemo) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Mistral: Mistral Nemo (mistralai/mistral-nemo) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.019 in / $0.03 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-04-30. Release date: 2024-07-18. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-nemo.html"}
{"id":"mistralai/mistral-saba","label":"Mistral: Saba","kind":"CHAT","contextWindow":32768,"maxOutputTokens":26214,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-02-17","pricing":{"inputPer1M":0.2,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":6.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-saba","title":"Mistral: Saba","abstract":"Mistral: Saba (mistralai/mistral-saba) is a chat model from openrouter with a 32.8K-token context window; proprietary (API-only); capabilities tools; input pdf, text; output text.","text":"Mistral: Saba (mistralai/mistral-saba) is a chat model from openrouter with a 32.8K-token context window; proprietary (API-only); capabilities tools; input pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 26,214 tokens. Indicative price (US list): $0.2 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.5 (cited from Artificial Analysis — verify at the source). Input modalities: pdf, text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-02-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-saba.html"}
{"id":"mistralai/mistral-small-24b-instruct-2501","label":"Mistral: Mistral Small 3","kind":"CHAT","contextWindow":32768,"maxOutputTokens":16384,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","releaseDate":"2025-01-30","pricing":{"inputPer1M":0.05,"outputPer1M":0.08,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-small-24b-instruct-2501","title":"Mistral: Mistral Small 3","abstract":"Mistral: Mistral Small 3 (mistralai/mistral-small-24b-instruct-2501) is a chat model from openrouter with a 32.8K-token context window; open-weight; input text; output text.","text":"Mistral: Mistral Small 3 (mistralai/mistral-small-24b-instruct-2501) is a chat model from openrouter with a 32.8K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.05 in / $0.08 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2023-10-31. Release date: 2025-01-30. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-small-24b-instruct-2501.html"}
{"id":"mistralai/mistral-small-2603","label":"Mistral: Mistral Small 4","kind":"CHAT","contextWindow":262144,"maxOutputTokens":209715,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-06","releaseDate":"2026-03-16","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-small-2603","title":"Mistral: Mistral Small 4","abstract":"Mistral: Mistral Small 4 (mistralai/mistral-small-2603) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text.","text":"Mistral: Mistral Small 4 (mistralai/mistral-small-2603) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 209,715 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2025-06. Release date: 2026-03-16. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-small-2603.html"}
{"id":"mistralai/mistral-small-3.1-24b-instruct","label":"Mistral: Mistral Small 3.1 24B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"capabilities":["vision","tools"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","releaseDate":"2025-03-17","pricing":{"inputPer1M":0.1,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-small-3.1-24b-instruct","title":"Mistral: Mistral Small 3.1 24B","abstract":"Mistral: Mistral Small 3.1 24B (mistralai/mistral-small-3.1-24b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities vision, tools; input image, text; output text.","text":"Mistral: Mistral Small 3.1 24B (mistralai/mistral-small-3.1-24b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities vision, tools; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.1 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: vision, tools. Weights: Open-weight. Knowledge cutoff: 2023-10-31. Release date: 2025-03-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-small-3.1-24b-instruct.html"}
{"id":"mistralai/mistral-small-3.2-24b-instruct","label":"Mistral: Mistral Small 3.2 24B","kind":"CHAT","contextWindow":128000,"maxOutputTokens":128000,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","releaseDate":"2025-06-20","pricing":{"inputPer1M":0.1,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mistral-small-3.2-24b-instruct","title":"Mistral: Mistral Small 3.2 24B","abstract":"Mistral: Mistral Small 3.2 24B (mistralai/mistral-small-3.2-24b-instruct) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Mistral: Mistral Small 3.2 24B (mistralai/mistral-small-3.2-24b-instruct) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2023-10-31. Release date: 2025-06-20. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mistral-small-3.2-24b-instruct.html"}
{"id":"mistralai/mixtral-8x22b-instruct","label":"Mistral: Mixtral 8x22B Instruct","kind":"CHAT","contextWindow":65536,"maxOutputTokens":65536,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-01-31","releaseDate":"2024-04-17","pricing":{"inputPer1M":0.65,"outputPer1M":0.65,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/mixtral-8x22b-instruct","title":"Mistral: Mixtral 8x22B Instruct","abstract":"Mistral: Mixtral 8x22B Instruct (mistralai/mixtral-8x22b-instruct) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities tools; input pdf, text; output text.","text":"Mistral: Mixtral 8x22B Instruct (mistralai/mixtral-8x22b-instruct) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities tools; input pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.65 in / $0.65 out per 1M tokens (indicative US list — verify with vendor). Input modalities: pdf, text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-01-31. Release date: 2024-04-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-mixtral-8x22b-instruct.html"}
{"id":"mistralai/voxtral-small-24b-2507","label":"Mistral: Voxtral Small 24B 2507","kind":"CHAT","contextWindow":32000,"maxOutputTokens":26214,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["audio","pdf","text"],"output":["text"]},"releaseDate":"2025-07-15","pricing":{"inputPer1M":0.1,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/mistralai/voxtral-small-24b-2507","title":"Mistral: Voxtral Small 24B 2507","abstract":"Mistral: Voxtral Small 24B 2507 (mistralai/voxtral-small-24b-2507) is a chat model from openrouter with a 32K-token context window; open-weight; capabilities tools; input audio, pdf, text; output text.","text":"Mistral: Voxtral Small 24B 2507 (mistralai/voxtral-small-24b-2507) is a chat model from openrouter with a 32K-token context window; open-weight; capabilities tools; input audio, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,000 tokens. Max output tokens: 26,214 tokens. Indicative price (US list): $0.1 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, pdf, text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Release date: 2025-07-15. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/mistralai-voxtral-small-24b-2507.html"}
{"id":"moondream/moondream3-preview","label":"Moondream: Moondream 3 Preview","kind":"CHAT","contextWindow":32000,"maxOutputTokens":4096,"capabilities":["reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-10-15","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moondream/moondream3-preview","title":"Moondream: Moondream 3 Preview","abstract":"Moondream: Moondream 3 Preview (moondream/moondream3-preview) is a chat model from openrouter with a 32K-token context window; open-weight; capabilities reasoning, vision; input image, text; output text.","text":"Moondream: Moondream 3 Preview (moondream/moondream3-preview) is a chat model from openrouter with a 32K-token context window; open-weight; capabilities reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: reasoning, vision. Weights: Open-weight. Release date: 2026-10-15. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moondream-moondream3-preview.html"}
{"id":"moondream/moondream3.1-9b-a2b","label":"Moondream: Moondream 3.1","kind":"CHAT","contextWindow":32000,"maxOutputTokens":4096,"capabilities":["reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-10-15","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moondream/moondream3.1-9b-a2b","title":"Moondream: Moondream 3.1","abstract":"Moondream: Moondream 3.1 (moondream/moondream3.1-9b-a2b) is a chat model from openrouter with a 32K-token context window; open-weight; capabilities reasoning, vision; input image, text; output text.","text":"Moondream: Moondream 3.1 (moondream/moondream3.1-9b-a2b) is a chat model from openrouter with a 32K-token context window; open-weight; capabilities reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: reasoning, vision. Weights: Open-weight. Release date: 2026-10-15. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moondream-moondream3.1-9b-a2b.html"}
{"id":"moonshotai/kimi-k2","label":"MoonshotAI: Kimi K2 0711","kind":"CHAT","contextWindow":131072,"maxOutputTokens":100352,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-12-31","releaseDate":"2025-07-11","pricing":{"inputPer1M":0.57,"outputPer1M":2.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":12.7,"scores":{"math":{"value":57}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":43.68,"latencyTtftSec":1.92,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moonshotai/kimi-k2","title":"MoonshotAI: Kimi K2 0711","abstract":"MoonshotAI: Kimi K2 0711 (moonshotai/kimi-k2) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"MoonshotAI: Kimi K2 0711 (moonshotai/kimi-k2) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 100,352 tokens. Indicative price (US list): $0.57 in / $2.3 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 12.7 · math 57 (cited from Artificial Analysis — verify at the source). Cited speed: 43.68 tokens/s · 1.92s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-12-31. Release date: 2025-07-11. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moonshotai-kimi-k2.html"}
{"id":"moonshotai/kimi-k2-0905","label":"MoonshotAI: Kimi K2 0905","kind":"CHAT","contextWindow":262144,"maxOutputTokens":100352,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-12-31","releaseDate":"2025-09-05","pricing":{"inputPer1M":0.6,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":15.3,"scores":{"math":{"value":57.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":45.14,"latencyTtftSec":1.76,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moonshotai/kimi-k2-0905","title":"MoonshotAI: Kimi K2 0905","abstract":"MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 100,352 tokens. Indicative price (US list): $0.6 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 15.3 · math 57.3 (cited from Artificial Analysis — verify at the source). Cited speed: 45.14 tokens/s · 1.76s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-12-31. Release date: 2025-09-05. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moonshotai-kimi-k2-0905.html"}
{"id":"moonshotai/kimi-k2-thinking","label":"MoonshotAI: Kimi K2 Thinking","kind":"CHAT","contextWindow":262144,"maxOutputTokens":100352,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-08","releaseDate":"2025-11-06","pricing":{"inputPer1M":0.6,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":22,"scores":{"math":{"value":94.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":108.29,"latencyTtftSec":1.65,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moonshotai/kimi-k2-thinking","title":"MoonshotAI: Kimi K2 Thinking","abstract":"MoonshotAI: Kimi K2 Thinking (moonshotai/kimi-k2-thinking) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"MoonshotAI: Kimi K2 Thinking (moonshotai/kimi-k2-thinking) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 100,352 tokens. Indicative price (US list): $0.6 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 22 · math 94.7 (cited from Artificial Analysis — verify at the source). Cited speed: 108.29 tokens/s · 1.65s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-08. Release date: 2025-11-06. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moonshotai-kimi-k2-thinking.html"}
{"id":"moonshotai/kimi-k2.5","label":"MoonshotAI: Kimi K2.5","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-01-27","pricing":{"inputPer1M":0.6,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moonshotai/kimi-k2.5","title":"MoonshotAI: Kimi K2.5","abstract":"MoonshotAI: Kimi K2.5 (moonshotai/kimi-k2.5) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"MoonshotAI: Kimi K2.5 (moonshotai/kimi-k2.5) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.6 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-01-27. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moonshotai-kimi-k2.5.html"}
{"id":"moonshotai/kimi-k2.6","label":"MoonshotAI: Kimi K2.6","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-04-20","pricing":{"inputPer1M":0.684,"outputPer1M":3.42,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moonshotai/kimi-k2.6","title":"MoonshotAI: Kimi K2.6","abstract":"MoonshotAI: Kimi K2.6 (moonshotai/kimi-k2.6) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text.","text":"MoonshotAI: Kimi K2.6 (moonshotai/kimi-k2.6) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.684 in / $3.42 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-04-20. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moonshotai-kimi-k2.6.html"}
{"id":"moonshotai/kimi-k2.7-code","label":"MoonshotAI: Kimi K2.7 Code","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-06-12","pricing":{"inputPer1M":0.82,"outputPer1M":3.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moonshotai/kimi-k2.7-code","title":"MoonshotAI: Kimi K2.7 Code","abstract":"MoonshotAI: Kimi K2.7 Code (moonshotai/kimi-k2.7-code) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text.","text":"MoonshotAI: Kimi K2.7 Code (moonshotai/kimi-k2.7-code) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.82 in / $3.75 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-06-12. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moonshotai-kimi-k2.7-code.html"}
{"id":"moonshotai/kimi-k3","label":"MoonshotAI: Kimi K3","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-07-16","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":43.6,"scores":{"coding":{"value":76.2}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":36.808,"latencyTtftSec":2.865,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moonshotai/kimi-k3","title":"MoonshotAI: Kimi K3","abstract":"MoonshotAI: Kimi K3 (moonshotai/kimi-k3) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"MoonshotAI: Kimi K3 (moonshotai/kimi-k3) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 43.6 · coding 76.2 (cited from Artificial Analysis — verify at the source). Cited speed: 36.808 tokens/s · 2.865s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-07-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moonshotai-kimi-k3.html"}
{"id":"moonshotai/kimi-k3:batch","label":"MoonshotAI: Kimi K3 (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":16384,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","text","video"],"output":["text"]},"pricing":{"inputPer1M":2.28,"outputPer1M":11.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moonshotai/kimi-k3:batch","title":"MoonshotAI: Kimi K3 (batch)","abstract":"MoonshotAI: Kimi K3 (batch) (moonshotai/kimi-k3:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"MoonshotAI: Kimi K3 (batch) (moonshotai/kimi-k3:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.28 in / $11.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moonshotai-kimi-k3-batch.html"}
{"id":"moonshotai/kimi-k3.1-pro","label":"MoonshotAI: Kimi K3.1 Pro","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-10-23","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":46,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"performance":{"throughputTps":30.997,"latencyTtftSec":2.667,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/moonshotai/kimi-k3.1-pro","title":"MoonshotAI: Kimi K3.1 Pro","abstract":"MoonshotAI: Kimi K3.1 Pro (moonshotai/kimi-k3.1-pro) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"MoonshotAI: Kimi K3.1 Pro (moonshotai/kimi-k3.1-pro) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 46 (cited from Artificial Analysis — verify at the source). Cited speed: 30.997 tokens/s · 2.667s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-10-23. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/moonshotai-kimi-k3.1-pro.html"}
{"id":"morph/morph-v3-fast","label":"Morph: Morph V3 Fast","kind":"CHAT","contextWindow":81920,"maxOutputTokens":38000,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-07-07","pricing":{"inputPer1M":0.8,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/morph/morph-v3-fast","title":"Morph: Morph V3 Fast","abstract":"Morph: Morph V3 Fast (morph/morph-v3-fast) is a chat model from openrouter with a 81.9K-token context window; proprietary (API-only); input text; output text.","text":"Morph: Morph V3 Fast (morph/morph-v3-fast) is a chat model from openrouter with a 81.9K-token context window; proprietary (API-only); input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 81,920 tokens. Max output tokens: 38,000 tokens. Indicative price (US list): $0.8 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Release date: 2025-07-07. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/morph-morph-v3-fast.html"}
{"id":"morph/morph-v3-large","label":"Morph: Morph V3 Large","kind":"CHAT","contextWindow":262144,"maxOutputTokens":131072,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-07-07","pricing":{"inputPer1M":0.9,"outputPer1M":1.9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/morph/morph-v3-large","title":"Morph: Morph V3 Large","abstract":"Morph: Morph V3 Large (morph/morph-v3-large) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); input text; output text.","text":"Morph: Morph V3 Large (morph/morph-v3-large) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.9 in / $1.9 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Release date: 2025-07-07. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/morph-morph-v3-large.html"}
{"id":"nex-agi/nex-n2.5-mini","label":"Nex AGI: Nex-N2.5-Mini","kind":"CHAT","contextWindow":262144,"maxOutputTokens":235929,"capabilities":["reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-09-08","pricing":{"inputPer1M":0.025,"outputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nex-agi/nex-n2.5-mini","title":"Nex AGI: Nex-N2.5-Mini","abstract":"Nex AGI: Nex-N2.5-Mini (nex-agi/nex-n2.5-mini) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities reasoning, vision; input image, text; output text.","text":"Nex AGI: Nex-N2.5-Mini (nex-agi/nex-n2.5-mini) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 235,929 tokens. Indicative price (US list): $0.025 in / $0.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: reasoning, vision. Weights: Open-weight. Release date: 2026-09-08. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nex-agi-nex-n2.5-mini.html"}
{"id":"nex-agi/nex-n2.5-pro","label":"Nex AGI: Nex-N2.5-Pro","kind":"CHAT","contextWindow":262144,"maxOutputTokens":235929,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-09-08","pricing":{"inputPer1M":0.075,"outputPer1M":0.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nex-agi/nex-n2.5-pro","title":"Nex AGI: Nex-N2.5-Pro","abstract":"Nex AGI: Nex-N2.5-Pro (nex-agi/nex-n2.5-pro) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text.","text":"Nex AGI: Nex-N2.5-Pro (nex-agi/nex-n2.5-pro) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 235,929 tokens. Indicative price (US list): $0.075 in / $0.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-09-08. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nex-agi-nex-n2.5-pro.html"}
{"id":"nousresearch/hermes-4-405b","label":"Nous: Hermes 4 405B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":117964,"capabilities":["reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-08-31","releaseDate":"2025-08-26","pricing":{"inputPer1M":1,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nousresearch/hermes-4-405b","title":"Nous: Hermes 4 405B","abstract":"Nous: Hermes 4 405B (nousresearch/hermes-4-405b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities reasoning; input text; output text.","text":"Nous: Hermes 4 405B (nousresearch/hermes-4-405b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 117,964 tokens. Indicative price (US list): $1 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: reasoning. Weights: Open-weight. Knowledge cutoff: 2024-08-31. Release date: 2025-08-26. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nousresearch-hermes-4-405b.html"}
{"id":"nvidia/nemotron-3-nano-30b-a3b","label":"NVIDIA: Nemotron 3 Nano 30B A3B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":228000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-06-25","releaseDate":"2025-12-15","pricing":{"inputPer1M":0.05,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3-nano-30b-a3b","title":"NVIDIA: Nemotron 3 Nano 30B A3B","abstract":"NVIDIA: Nemotron 3 Nano 30B A3B (nvidia/nemotron-3-nano-30b-a3b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"NVIDIA: Nemotron 3 Nano 30B A3B (nvidia/nemotron-3-nano-30b-a3b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 228,000 tokens. Indicative price (US list): $0.05 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-06-25. Release date: 2025-12-15. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3-nano-30b-a3b.html"}
{"id":"nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free","label":"NVIDIA: Nemotron 3 Nano Omni (free)","kind":"CHAT","contextWindow":256000,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["audio","image","text","video"],"output":["text"]},"releaseDate":"2026-04-28","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free","title":"NVIDIA: Nemotron 3 Nano Omni (free)","abstract":"NVIDIA: Nemotron 3 Nano Omni (free) (nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free) is a chat model from openrouter with a 256K-token context window; open-weight; capabilities tools, reasoning, vision; input audio, image, text, video; output text.","text":"NVIDIA: Nemotron 3 Nano Omni (free) (nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free) is a chat model from openrouter with a 256K-token context window; open-weight; capabilities tools, reasoning, vision; input audio, image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 65,536 tokens. Input modalities: audio, image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-04-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3-nano-omni-30b-a3b-reasoning-free.html"}
{"id":"nvidia/nemotron-3-super-120b-a12b","label":"NVIDIA: Nemotron 3 Super","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":235929,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-06","releaseDate":"2026-03-11","pricing":{"inputPer1M":0.08,"outputPer1M":0.45,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3-super-120b-a12b","title":"NVIDIA: Nemotron 3 Super","abstract":"NVIDIA: Nemotron 3 Super (nvidia/nemotron-3-super-120b-a12b) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"NVIDIA: Nemotron 3 Super (nvidia/nemotron-3-super-120b-a12b) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 235,929 tokens. Indicative price (US list): $0.08 in / $0.45 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-06. Release date: 2026-03-11. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3-super-120b-a12b.html"}
{"id":"nvidia/nemotron-3-ultra-550b-a55b","label":"NVIDIA: Nemotron 3 Ultra","kind":"CHAT","contextWindow":512288,"maxOutputTokens":16384,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-09","releaseDate":"2026-06-04","pricing":{"inputPer1M":0.5,"outputPer1M":2.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3-ultra-550b-a55b","title":"NVIDIA: Nemotron 3 Ultra","abstract":"NVIDIA: Nemotron 3 Ultra (nvidia/nemotron-3-ultra-550b-a55b) is a chat model from openrouter with a 512.3K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"NVIDIA: Nemotron 3 Ultra (nvidia/nemotron-3-ultra-550b-a55b) is a chat model from openrouter with a 512.3K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 512,288 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.5 in / $2.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-09. Release date: 2026-06-04. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3-ultra-550b-a55b.html"}
{"id":"nvidia/nemotron-3-ultra-550b-a55b:free","label":"NVIDIA: Nemotron 3 Ultra (free)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-09","releaseDate":"2026-06-04","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3-ultra-550b-a55b:free","title":"NVIDIA: Nemotron 3 Ultra (free)","abstract":"NVIDIA: Nemotron 3 Ultra (free) (nvidia/nemotron-3-ultra-550b-a55b:free) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"NVIDIA: Nemotron 3 Ultra (free) (nvidia/nemotron-3-ultra-550b-a55b:free) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-09. Release date: 2026-06-04. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3-ultra-550b-a55b-free.html"}
{"id":"nvidia/nemotron-3.5-content-safety","label":"NVIDIA: Nemotron 3.5 Content Safety","kind":"CHAT","contextWindow":131072,"maxOutputTokens":117964,"capabilities":["vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-06-02","pricing":{"inputPer1M":0.2,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3.5-content-safety","title":"NVIDIA: Nemotron 3.5 Content Safety","abstract":"NVIDIA: Nemotron 3.5 Content Safety (nvidia/nemotron-3.5-content-safety) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities vision, reasoning; input image, text; output text.","text":"NVIDIA: Nemotron 3.5 Content Safety (nvidia/nemotron-3.5-content-safety) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 117,964 tokens. Indicative price (US list): $0.2 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: vision, reasoning. Weights: Open-weight. Release date: 2026-06-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3.5-content-safety.html"}
{"id":"nvidia/nemotron-3.5-content-safety:free","label":"NVIDIA: Nemotron 3.5 Content Safety (free)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8192,"capabilities":["reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-06-02","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3.5-content-safety:free","title":"NVIDIA: Nemotron 3.5 Content Safety (free)","abstract":"NVIDIA: Nemotron 3.5 Content Safety (free) (nvidia/nemotron-3.5-content-safety:free) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities reasoning, vision; input image, text; output text.","text":"NVIDIA: Nemotron 3.5 Content Safety (free) (nvidia/nemotron-3.5-content-safety:free) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,192 tokens. Input modalities: image, text. Output modalities: text. Capabilities: reasoning, vision. Weights: Open-weight. Release date: 2026-06-02. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3.5-content-safety-free.html"}
{"id":"nvidia/nemotron-3.5-lightning","label":"NVIDIA: Nemotron 3.5 Lightning","kind":"CHAT","contextWindow":262144,"maxOutputTokens":235929,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-09","releaseDate":"2026-08-11","pricing":{"inputPer1M":0.08,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3.5-lightning","title":"NVIDIA: Nemotron 3.5 Lightning","abstract":"NVIDIA: Nemotron 3.5 Lightning (nvidia/nemotron-3.5-lightning) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"NVIDIA: Nemotron 3.5 Lightning (nvidia/nemotron-3.5-lightning) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 235,929 tokens. Indicative price (US list): $0.08 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-09. Release date: 2026-08-11. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3.5-lightning.html"}
{"id":"nvidia/nemotron-3.5-lightning:free","label":"NVIDIA: Nemotron 3.5 Lightning (free)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-09","releaseDate":"2026-08-11","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3.5-lightning:free","title":"NVIDIA: Nemotron 3.5 Lightning (free)","abstract":"NVIDIA: Nemotron 3.5 Lightning (free) (nvidia/nemotron-3.5-lightning:free) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"NVIDIA: Nemotron 3.5 Lightning (free) (nvidia/nemotron-3.5-lightning:free) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-09. Release date: 2026-08-11. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3.5-lightning-free.html"}
{"id":"nvidia/nemotron-3.5-super-vl","label":"NVIDIA: Nemotron 3.5 Super VL","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":235929,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-10-15","pricing":{"inputPer1M":0.15,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":13.6,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":391.48,"latencyTtftSec":0.72,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3.5-super-vl","title":"NVIDIA: Nemotron 3.5 Super VL","abstract":"NVIDIA: Nemotron 3.5 Super VL (nvidia/nemotron-3.5-super-vl) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"NVIDIA: Nemotron 3.5 Super VL (nvidia/nemotron-3.5-super-vl) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 235,929 tokens. Indicative price (US list): $0.15 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 13.6 (cited from Artificial Analysis — verify at the source). Cited speed: 391.48 tokens/s · 0.72s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-10-15. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3.5-super-vl.html"}
{"id":"nvidia/nemotron-3.5-super-vl:free","label":"NVIDIA: Nemotron 3.5 Super VL (free)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":131072,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-10-15","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/nemotron-3.5-super-vl:free","title":"NVIDIA: Nemotron 3.5 Super VL (free)","abstract":"NVIDIA: Nemotron 3.5 Super VL (free) (nvidia/nemotron-3.5-super-vl:free) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"NVIDIA: Nemotron 3.5 Super VL (free) (nvidia/nemotron-3.5-super-vl:free) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 131,072 tokens. Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-10-15. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-nemotron-3.5-super-vl-free.html"}
{"id":"nvidia/switchyard","label":"NVIDIA: Switchyard","kind":"CHAT","contextWindow":1000000,"modalities":{"input":["text"],"output":["text"]},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/nvidia/switchyard","title":"NVIDIA: Switchyard","abstract":"NVIDIA: Switchyard (nvidia/switchyard) is a chat model from openrouter with a 1M-token context window; input text; output text.","text":"NVIDIA: Switchyard (nvidia/switchyard) is a chat model from openrouter with a 1M-token context window; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Input modalities: text. Output modalities: text. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/nvidia-switchyard.html"}
{"id":"openai/gpt-3.5-turbo-0613","label":"OpenAI: GPT-3.5 Turbo (older v0613)","kind":"CHAT","contextWindow":4095,"maxOutputTokens":4096,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2021-09-30","releaseDate":"2024-01-25","pricing":{"inputPer1M":1,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-3.5-turbo-0613","title":"OpenAI: GPT-3.5 Turbo (older v0613)","abstract":"OpenAI: GPT-3.5 Turbo (older v0613) (openai/gpt-3.5-turbo-0613) is a chat model from openrouter with a 4.1K-token context window; proprietary (API-only); capabilities tools; input text; output text.","text":"OpenAI: GPT-3.5 Turbo (older v0613) (openai/gpt-3.5-turbo-0613) is a chat model from openrouter with a 4.1K-token context window; proprietary (API-only); capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 4,095 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $1 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2021-09-30. Release date: 2024-01-25. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-3.5-turbo-0613.html"}
{"id":"openai/gpt-3.5-turbo-16k","label":"OpenAI: GPT-3.5 Turbo 16k","kind":"CHAT","contextWindow":16385,"maxOutputTokens":4096,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2021-09-30","releaseDate":"2023-08-28","pricing":{"inputPer1M":3,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-3.5-turbo-16k","title":"OpenAI: GPT-3.5 Turbo 16k","abstract":"OpenAI: GPT-3.5 Turbo 16k (openai/gpt-3.5-turbo-16k) is a chat model from openrouter with a 16.4K-token context window; proprietary (API-only); capabilities tools; input text; output text.","text":"OpenAI: GPT-3.5 Turbo 16k (openai/gpt-3.5-turbo-16k) is a chat model from openrouter with a 16.4K-token context window; proprietary (API-only); capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 16,385 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $3 in / $4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2021-09-30. Release date: 2023-08-28. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-3.5-turbo-16k.html"}
{"id":"openai/gpt-4","label":"OpenAI: GPT-4","kind":"CHAT","contextWindow":8191,"maxOutputTokens":4096,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2021-09-30","releaseDate":"2023-11-06","pricing":{"inputPer1M":30,"outputPer1M":60,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4","title":"OpenAI: GPT-4","abstract":"OpenAI: GPT-4 (openai/gpt-4) is a chat model from openrouter with a 8.2K-token context window; proprietary (API-only); capabilities tools; input text; output text.","text":"OpenAI: GPT-4 (openai/gpt-4) is a chat model from openrouter with a 8.2K-token context window; proprietary (API-only); capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 8,191 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $30 in / $60 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2021-09-30. Release date: 2023-11-06. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4.html"}
{"id":"openai/gpt-4-turbo:batch","label":"OpenAI: GPT-4 Turbo (batch)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools","vision"],"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2023-12-31","pricing":{"inputPer1M":5,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4-turbo:batch","title":"OpenAI: GPT-4 Turbo (batch)","abstract":"OpenAI: GPT-4 Turbo (batch) (openai/gpt-4-turbo:batch) is a chat model from openrouter with a 128K-token context window; capabilities tools, vision; input image, text; output text.","text":"OpenAI: GPT-4 Turbo (batch) (openai/gpt-4-turbo:batch) is a chat model from openrouter with a 128K-token context window; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $5 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Knowledge cutoff: 2023-12-31. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4-turbo-batch.html"}
{"id":"openai/gpt-4.1","label":"OpenAI: GPT-4.1","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-04-14","pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4.1","title":"OpenAI: GPT-4.1","abstract":"OpenAI: GPT-4.1 (openai/gpt-4.1) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4.1 (openai/gpt-4.1) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-06-30. Release date: 2025-04-14. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4.1.html"}
{"id":"openai/gpt-4.1-mini","label":"OpenAI: GPT-4.1 Mini","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-04-14","pricing":{"inputPer1M":0.4,"outputPer1M":1.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4.1-mini","title":"OpenAI: GPT-4.1 Mini","abstract":"OpenAI: GPT-4.1 Mini (openai/gpt-4.1-mini) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4.1 Mini (openai/gpt-4.1-mini) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.4 in / $1.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-06-30. Release date: 2025-04-14. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4.1-mini.html"}
{"id":"openai/gpt-4.1-mini:batch","label":"OpenAI: GPT-4.1 Mini (batch)","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","pricing":{"inputPer1M":0.2,"outputPer1M":0.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4.1-mini:batch","title":"OpenAI: GPT-4.1 Mini (batch)","abstract":"OpenAI: GPT-4.1 Mini (batch) (openai/gpt-4.1-mini:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4.1 Mini (batch) (openai/gpt-4.1-mini:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.2 in / $0.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Knowledge cutoff: 2024-06-30. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4.1-mini-batch.html"}
{"id":"openai/gpt-4.1-nano","label":"OpenAI: GPT-4.1 Nano","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-04-14","pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4.1-nano","title":"OpenAI: GPT-4.1 Nano","abstract":"OpenAI: GPT-4.1 Nano (openai/gpt-4.1-nano) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4.1 Nano (openai/gpt-4.1-nano) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-06-30. Release date: 2025-04-14. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4.1-nano.html"}
{"id":"openai/gpt-4.1-nano:batch","label":"OpenAI: GPT-4.1 Nano (batch)","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","pricing":{"inputPer1M":0.05,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4.1-nano:batch","title":"OpenAI: GPT-4.1 Nano (batch)","abstract":"OpenAI: GPT-4.1 Nano (batch) (openai/gpt-4.1-nano:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4.1 Nano (batch) (openai/gpt-4.1-nano:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.05 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Knowledge cutoff: 2024-06-30. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4.1-nano-batch.html"}
{"id":"openai/gpt-4.1:batch","label":"OpenAI: GPT-4.1 (batch)","kind":"CHAT","contextWindow":1047576,"maxOutputTokens":32768,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","pricing":{"inputPer1M":1,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4.1:batch","title":"OpenAI: GPT-4.1 (batch)","abstract":"OpenAI: GPT-4.1 (batch) (openai/gpt-4.1:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4.1 (batch) (openai/gpt-4.1:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,047,576 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $1 in / $4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Knowledge cutoff: 2024-06-30. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4.1-batch.html"}
{"id":"openai/gpt-4o","label":"GPT-4o (via OpenRouter)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","releaseDate":"2024-05-13","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","models-dev","openrouter-api","overrides"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4o","title":"GPT-4o (via OpenRouter)","abstract":"GPT-4o (via OpenRouter) (openai/gpt-4o) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"GPT-4o (via OpenRouter) (openai/gpt-4o) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2023-10-31. Release date: 2024-05-13. Sources: committed, models-dev, openrouter-api, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4o.html"}
{"id":"openai/gpt-4o-2024-05-13","label":"OpenAI: GPT-4o (2024-05-13)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","releaseDate":"2024-05-13","pricing":{"inputPer1M":5,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4o-2024-05-13","title":"OpenAI: GPT-4o (2024-05-13)","abstract":"OpenAI: GPT-4o (2024-05-13) (openai/gpt-4o-2024-05-13) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4o (2024-05-13) (openai/gpt-4o-2024-05-13) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $5 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2023-10-31. Release date: 2024-05-13. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4o-2024-05-13.html"}
{"id":"openai/gpt-4o-2024-08-06","label":"OpenAI: GPT-4o (2024-08-06)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","releaseDate":"2024-08-06","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4o-2024-08-06","title":"OpenAI: GPT-4o (2024-08-06)","abstract":"OpenAI: GPT-4o (2024-08-06) (openai/gpt-4o-2024-08-06) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4o (2024-08-06) (openai/gpt-4o-2024-08-06) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2023-10-31. Release date: 2024-08-06. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4o-2024-08-06.html"}
{"id":"openai/gpt-4o-2024-11-20","label":"OpenAI: GPT-4o (2024-11-20)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","releaseDate":"2024-11-20","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4o-2024-11-20","title":"OpenAI: GPT-4o (2024-11-20)","abstract":"OpenAI: GPT-4o (2024-11-20) (openai/gpt-4o-2024-11-20) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4o (2024-11-20) (openai/gpt-4o-2024-11-20) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2023-10-31. Release date: 2024-11-20. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4o-2024-11-20.html"}
{"id":"openai/gpt-4o-mini","label":"OpenAI: GPT-4o-mini","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","releaseDate":"2024-07-18","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4o-mini","title":"OpenAI: GPT-4o-mini","abstract":"OpenAI: GPT-4o-mini (openai/gpt-4o-mini) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4o-mini (openai/gpt-4o-mini) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2023-10-31. Release date: 2024-07-18. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4o-mini.html"}
{"id":"openai/gpt-4o-mini-2024-07-18","label":"OpenAI: GPT-4o-mini (2024-07-18)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","releaseDate":"2024-07-18","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4o-mini-2024-07-18","title":"OpenAI: GPT-4o-mini (2024-07-18)","abstract":"OpenAI: GPT-4o-mini (2024-07-18) (openai/gpt-4o-mini-2024-07-18) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4o-mini (2024-07-18) (openai/gpt-4o-mini-2024-07-18) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2023-10-31. Release date: 2024-07-18. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4o-mini-2024-07-18.html"}
{"id":"openai/gpt-4o-mini:batch","label":"OpenAI: GPT-4o-mini (batch)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","pricing":{"inputPer1M":0.075,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4o-mini:batch","title":"OpenAI: GPT-4o-mini (batch)","abstract":"OpenAI: GPT-4o-mini (batch) (openai/gpt-4o-mini:batch) is a chat model from openrouter with a 128K-token context window; capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4o-mini (batch) (openai/gpt-4o-mini:batch) is a chat model from openrouter with a 128K-token context window; capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.075 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Knowledge cutoff: 2023-10-31. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4o-mini-batch.html"}
{"id":"openai/gpt-4o:batch","label":"OpenAI: GPT-4o (batch)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","pricing":{"inputPer1M":1.25,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-4o:batch","title":"OpenAI: GPT-4o (batch)","abstract":"OpenAI: GPT-4o (batch) (openai/gpt-4o:batch) is a chat model from openrouter with a 128K-token context window; capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-4o (batch) (openai/gpt-4o:batch) is a chat model from openrouter with a 128K-token context window; capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $1.25 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Knowledge cutoff: 2023-10-31. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-4o-batch.html"}
{"id":"openai/gpt-5","label":"OpenAI: GPT-5","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["reasoning","tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-08-07","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5","title":"OpenAI: GPT-5","abstract":"OpenAI: GPT-5 (openai/gpt-5) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities reasoning, tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5 (openai/gpt-5) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities reasoning, tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: reasoning, tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-08-07. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.html"}
{"id":"openai/gpt-5-image","label":"OpenAI: GPT-5 Image","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["image","text"]},"knowledgeCutoff":"2024-10-01","releaseDate":"2025-10-14","pricing":{"inputPer1M":10,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5-image","title":"OpenAI: GPT-5 Image","abstract":"OpenAI: GPT-5 Image (openai/gpt-5-image) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, pdf, text; output image, text.","text":"OpenAI: GPT-5 Image (openai/gpt-5-image) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, pdf, text; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: image, text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-10-01. Release date: 2025-10-14. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5-image.html"}
{"id":"openai/gpt-5-image-mini","label":"OpenAI: GPT-5 Image Mini","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["image","text"]},"releaseDate":"2025-10-16","pricing":{"inputPer1M":2.5,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5-image-mini","title":"OpenAI: GPT-5 Image Mini","abstract":"OpenAI: GPT-5 Image Mini (openai/gpt-5-image-mini) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, pdf, text; output image, text.","text":"OpenAI: GPT-5 Image Mini (openai/gpt-5-image-mini) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, pdf, text; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: image, text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Release date: 2025-10-16. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5-image-mini.html"}
{"id":"openai/gpt-5-mini","label":"OpenAI: GPT-5 Mini","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["reasoning","tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-05-31","releaseDate":"2025-08-07","pricing":{"inputPer1M":0.25,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5-mini","title":"OpenAI: GPT-5 Mini","abstract":"OpenAI: GPT-5 Mini (openai/gpt-5-mini) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities reasoning, tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5 Mini (openai/gpt-5-mini) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities reasoning, tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.25 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: reasoning, tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-05-31. Release date: 2025-08-07. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5-mini.html"}
{"id":"openai/gpt-5-mini:batch","label":"OpenAI: GPT-5 Mini (batch)","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-05-31","pricing":{"inputPer1M":0.125,"outputPer1M":1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5-mini:batch","title":"OpenAI: GPT-5 Mini (batch)","abstract":"OpenAI: GPT-5 Mini (batch) (openai/gpt-5-mini:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5 Mini (batch) (openai/gpt-5-mini:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.125 in / $1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2024-05-31. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5-mini-batch.html"}
{"id":"openai/gpt-5-nano","label":"OpenAI: GPT-5 Nano","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["reasoning","tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-05-31","releaseDate":"2025-08-07","pricing":{"inputPer1M":0.05,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5-nano","title":"OpenAI: GPT-5 Nano","abstract":"OpenAI: GPT-5 Nano (openai/gpt-5-nano) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities reasoning, tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5 Nano (openai/gpt-5-nano) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities reasoning, tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.05 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: reasoning, tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-05-31. Release date: 2025-08-07. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5-nano.html"}
{"id":"openai/gpt-5-nano:batch","label":"OpenAI: GPT-5 Nano (batch)","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-05-31","pricing":{"inputPer1M":0.025,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5-nano:batch","title":"OpenAI: GPT-5 Nano (batch)","abstract":"OpenAI: GPT-5 Nano (batch) (openai/gpt-5-nano:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5 Nano (batch) (openai/gpt-5-nano:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.025 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2024-05-31. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5-nano-batch.html"}
{"id":"openai/gpt-5-pro","label":"OpenAI: GPT-5 Pro","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-10-06","pricing":{"inputPer1M":15,"outputPer1M":120,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5-pro","title":"OpenAI: GPT-5 Pro","abstract":"OpenAI: GPT-5 Pro (openai/gpt-5-pro) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5 Pro (openai/gpt-5-pro) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $15 in / $120 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-10-06. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5-pro.html"}
{"id":"openai/gpt-5-pro:batch","label":"OpenAI: GPT-5 Pro (batch)","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","pricing":{"inputPer1M":7.5,"outputPer1M":60,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5-pro:batch","title":"OpenAI: GPT-5 Pro (batch)","abstract":"OpenAI: GPT-5 Pro (batch) (openai/gpt-5-pro:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5 Pro (batch) (openai/gpt-5-pro:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $7.5 in / $60 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2024-09-30. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5-pro-batch.html"}
{"id":"openai/gpt-5:batch","label":"OpenAI: GPT-5 (batch)","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","pricing":{"inputPer1M":0.625,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5:batch","title":"OpenAI: GPT-5 (batch)","abstract":"OpenAI: GPT-5 (batch) (openai/gpt-5:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5 (batch) (openai/gpt-5:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.625 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2024-09-30. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5-batch.html"}
{"id":"openai/gpt-5.1","label":"OpenAI: GPT-5.1","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-11-13","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.1","title":"OpenAI: GPT-5.1","abstract":"OpenAI: GPT-5.1 (openai/gpt-5.1) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.1 (openai/gpt-5.1) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-11-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.1.html"}
{"id":"openai/gpt-5.1-codex","label":"OpenAI: GPT-5.1-Codex","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-11-13","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.1-codex","title":"OpenAI: GPT-5.1-Codex","abstract":"OpenAI: GPT-5.1-Codex (openai/gpt-5.1-codex) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text.","text":"OpenAI: GPT-5.1-Codex (openai/gpt-5.1-codex) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-11-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.1-codex.html"}
{"id":"openai/gpt-5.1-codex-max","label":"OpenAI: GPT-5.1-Codex-Max","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-11-13","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.1-codex-max","title":"OpenAI: GPT-5.1-Codex-Max","abstract":"OpenAI: GPT-5.1-Codex-Max (openai/gpt-5.1-codex-max) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text.","text":"OpenAI: GPT-5.1-Codex-Max (openai/gpt-5.1-codex-max) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-11-13. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.1-codex-max.html"}
{"id":"openai/gpt-5.1-codex-mini","label":"OpenAI: GPT-5.1-Codex-Mini","kind":"CHAT","contextWindow":400000,"maxOutputTokens":100000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-09-30","releaseDate":"2025-11-13","pricing":{"inputPer1M":0.25,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.1-codex-mini","title":"OpenAI: GPT-5.1-Codex-Mini","abstract":"OpenAI: GPT-5.1-Codex-Mini (openai/gpt-5.1-codex-mini) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text.","text":"OpenAI: GPT-5.1-Codex-Mini (openai/gpt-5.1-codex-mini) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $0.25 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-09-30. Release date: 2025-11-13. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.1-codex-mini.html"}
{"id":"openai/gpt-5.1:batch","label":"OpenAI: GPT-5.1 (batch)","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.625,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.1:batch","title":"OpenAI: GPT-5.1 (batch)","abstract":"OpenAI: GPT-5.1 (batch) (openai/gpt-5.1:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.1 (batch) (openai/gpt-5.1:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.625 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.1-batch.html"}
{"id":"openai/gpt-5.2","label":"OpenAI: GPT-5.2","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2025-12-11","pricing":{"inputPer1M":1.75,"outputPer1M":14,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.2","title":"OpenAI: GPT-5.2","abstract":"OpenAI: GPT-5.2 (openai/gpt-5.2) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.2 (openai/gpt-5.2) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.75 in / $14 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2025-12-11. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.2.html"}
{"id":"openai/gpt-5.2-chat","label":"OpenAI: GPT-5.2 Chat","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1.75,"outputPer1M":14,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.2-chat","title":"OpenAI: GPT-5.2 Chat","abstract":"OpenAI: GPT-5.2 Chat (openai/gpt-5.2-chat) is a chat model from openrouter with a 128K-token context window; capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.2 Chat (openai/gpt-5.2-chat) is a chat model from openrouter with a 128K-token context window; capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $1.75 in / $14 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.2-chat.html"}
{"id":"openai/gpt-5.2-codex","label":"OpenAI: GPT-5.2-Codex","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["reasoning","tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2025-12-11","pricing":{"inputPer1M":1.75,"outputPer1M":14,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.2-codex","title":"OpenAI: GPT-5.2-Codex","abstract":"OpenAI: GPT-5.2-Codex (openai/gpt-5.2-codex) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities reasoning, tools, vision; input image, text; output text.","text":"OpenAI: GPT-5.2-Codex (openai/gpt-5.2-codex) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities reasoning, tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.75 in / $14 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: reasoning, tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2025-12-11. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.2-codex.html"}
{"id":"openai/gpt-5.2-pro","label":"OpenAI: GPT-5.2 Pro","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2025-12-11","pricing":{"inputPer1M":21,"outputPer1M":168,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.2-pro","title":"OpenAI: GPT-5.2 Pro","abstract":"OpenAI: GPT-5.2 Pro (openai/gpt-5.2-pro) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.2 Pro (openai/gpt-5.2-pro) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $21 in / $168 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2025-12-11. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.2-pro.html"}
{"id":"openai/gpt-5.2-pro:batch","label":"OpenAI: GPT-5.2 Pro (batch)","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":10.5,"outputPer1M":84,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.2-pro:batch","title":"OpenAI: GPT-5.2 Pro (batch)","abstract":"OpenAI: GPT-5.2 Pro (batch) (openai/gpt-5.2-pro:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.2 Pro (batch) (openai/gpt-5.2-pro:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10.5 in / $84 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.2-pro-batch.html"}
{"id":"openai/gpt-5.2:batch","label":"OpenAI: GPT-5.2 (batch)","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.875,"outputPer1M":7,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.2:batch","title":"OpenAI: GPT-5.2 (batch)","abstract":"OpenAI: GPT-5.2 (batch) (openai/gpt-5.2:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.2 (batch) (openai/gpt-5.2:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.875 in / $7 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.2-batch.html"}
{"id":"openai/gpt-5.3-codex","label":"OpenAI: GPT-5.3-Codex","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-02-05","pricing":{"inputPer1M":1.75,"outputPer1M":14,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.3-codex","title":"OpenAI: GPT-5.3-Codex","abstract":"OpenAI: GPT-5.3-Codex (openai/gpt-5.3-codex) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.3-Codex (openai/gpt-5.3-codex) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.75 in / $14 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-02-05. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.3-codex.html"}
{"id":"openai/gpt-5.4","label":"OpenAI: GPT-5.4","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-03-05","pricing":{"inputPer1M":2.5,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.4","title":"OpenAI: GPT-5.4","abstract":"OpenAI: GPT-5.4 (openai/gpt-5.4) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.4 (openai/gpt-5.4) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-03-05. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.4.html"}
{"id":"openai/gpt-5.4-image-2","label":"OpenAI: GPT-5.4 Image 2","kind":"CHAT","contextWindow":272000,"maxOutputTokens":128000,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["image","text"]},"releaseDate":"2026-04-21","pricing":{"inputPer1M":8,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.4-image-2","title":"OpenAI: GPT-5.4 Image 2","abstract":"OpenAI: GPT-5.4 Image 2 (openai/gpt-5.4-image-2) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, pdf, text; output image, text.","text":"OpenAI: GPT-5.4 Image 2 (openai/gpt-5.4-image-2) is a chat model from openrouter with a 272K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, pdf, text; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 272,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $8 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: image, text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-04-21. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.4-image-2.html"}
{"id":"openai/gpt-5.4-mini","label":"OpenAI: GPT-5.4 Mini","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-03-17","pricing":{"inputPer1M":0.75,"outputPer1M":4.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.4-mini","title":"OpenAI: GPT-5.4 Mini","abstract":"OpenAI: GPT-5.4 Mini (openai/gpt-5.4-mini) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.4 Mini (openai/gpt-5.4-mini) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.75 in / $4.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-03-17. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.4-mini.html"}
{"id":"openai/gpt-5.4-mini:batch","label":"OpenAI: GPT-5.4 Mini (batch)","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","pricing":{"inputPer1M":0.375,"outputPer1M":2.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.4-mini:batch","title":"OpenAI: GPT-5.4 Mini (batch)","abstract":"OpenAI: GPT-5.4 Mini (batch) (openai/gpt-5.4-mini:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.4 Mini (batch) (openai/gpt-5.4-mini:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.375 in / $2.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2025-08-31. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.4-mini-batch.html"}
{"id":"openai/gpt-5.4-nano","label":"OpenAI: GPT-5.4 Nano","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-03-17","pricing":{"inputPer1M":0.2,"outputPer1M":1.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.4-nano","title":"OpenAI: GPT-5.4 Nano","abstract":"OpenAI: GPT-5.4 Nano (openai/gpt-5.4-nano) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.4 Nano (openai/gpt-5.4-nano) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.2 in / $1.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-03-17. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.4-nano.html"}
{"id":"openai/gpt-5.4-nano:batch","label":"OpenAI: GPT-5.4 Nano (batch)","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","pricing":{"inputPer1M":0.1,"outputPer1M":0.625,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.4-nano:batch","title":"OpenAI: GPT-5.4 Nano (batch)","abstract":"OpenAI: GPT-5.4 Nano (batch) (openai/gpt-5.4-nano:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.4 Nano (batch) (openai/gpt-5.4-nano:batch) is a chat model from openrouter with a 400K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.625 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2025-08-31. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.4-nano-batch.html"}
{"id":"openai/gpt-5.4-pro","label":"OpenAI: GPT-5.4 Pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-08-31","releaseDate":"2026-03-05","pricing":{"inputPer1M":30,"outputPer1M":180,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.4-pro","title":"OpenAI: GPT-5.4 Pro","abstract":"OpenAI: GPT-5.4 Pro (openai/gpt-5.4-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.4 Pro (openai/gpt-5.4-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $30 in / $180 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-08-31. Release date: 2026-03-05. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.4-pro.html"}
{"id":"openai/gpt-5.4-pro:batch","label":"OpenAI: GPT-5.4 Pro (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":15,"outputPer1M":90,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.4-pro:batch","title":"OpenAI: GPT-5.4 Pro (batch)","abstract":"OpenAI: GPT-5.4 Pro (batch) (openai/gpt-5.4-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.4 Pro (batch) (openai/gpt-5.4-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $15 in / $90 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.4-pro-batch.html"}
{"id":"openai/gpt-5.4:batch","label":"OpenAI: GPT-5.4 (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1.25,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.4:batch","title":"OpenAI: GPT-5.4 (batch)","abstract":"OpenAI: GPT-5.4 (batch) (openai/gpt-5.4:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.4 (batch) (openai/gpt-5.4:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.25 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.4-batch.html"}
{"id":"openai/gpt-5.5","label":"OpenAI: GPT-5.5","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-12-01","releaseDate":"2026-04-23","pricing":{"inputPer1M":5,"outputPer1M":30,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.5","title":"OpenAI: GPT-5.5","abstract":"OpenAI: GPT-5.5 (openai/gpt-5.5) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.5 (openai/gpt-5.5) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $30 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-12-01. Release date: 2026-04-23. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.5.html"}
{"id":"openai/gpt-5.5-pro","label":"OpenAI: GPT-5.5 Pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-12-01","releaseDate":"2026-04-23","pricing":{"inputPer1M":30,"outputPer1M":180,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.5-pro","title":"OpenAI: GPT-5.5 Pro","abstract":"OpenAI: GPT-5.5 Pro (openai/gpt-5.5-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.5 Pro (openai/gpt-5.5-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $30 in / $180 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-12-01. Release date: 2026-04-23. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.5-pro.html"}
{"id":"openai/gpt-5.5-pro:batch","label":"OpenAI: GPT-5.5 Pro (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-12-01","pricing":{"inputPer1M":15,"outputPer1M":90,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.5-pro:batch","title":"OpenAI: GPT-5.5 Pro (batch)","abstract":"OpenAI: GPT-5.5 Pro (batch) (openai/gpt-5.5-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.5 Pro (batch) (openai/gpt-5.5-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $15 in / $90 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2025-12-01. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.5-pro-batch.html"}
{"id":"openai/gpt-5.5:batch","label":"OpenAI: GPT-5.5 (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-12-01","pricing":{"inputPer1M":2.5,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.5:batch","title":"OpenAI: GPT-5.5 (batch)","abstract":"OpenAI: GPT-5.5 (batch) (openai/gpt-5.5:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.5 (batch) (openai/gpt-5.5:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2025-12-01. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.5-batch.html"}
{"id":"openai/gpt-5.6-luna","label":"OpenAI: GPT-5.6 Luna","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","releaseDate":"2026-07-09","pricing":{"inputPer1M":1,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-luna","title":"OpenAI: GPT-5.6 Luna","abstract":"OpenAI: GPT-5.6 Luna (openai/gpt-5.6-luna) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Luna (openai/gpt-5.6-luna) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Release date: 2026-07-09. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-luna.html"}
{"id":"openai/gpt-5.6-luna-pro","label":"OpenAI: GPT-5.6 Luna Pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","releaseDate":"2026-07-09","pricing":{"inputPer1M":1,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-luna-pro","title":"OpenAI: GPT-5.6 Luna Pro","abstract":"OpenAI: GPT-5.6 Luna Pro (openai/gpt-5.6-luna-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Luna Pro (openai/gpt-5.6-luna-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Release date: 2026-07-09. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-luna-pro.html"}
{"id":"openai/gpt-5.6-luna-pro:batch","label":"OpenAI: GPT-5.6 Luna Pro (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","pricing":{"inputPer1M":0.1,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-luna-pro:batch","title":"OpenAI: GPT-5.6 Luna Pro (batch)","abstract":"OpenAI: GPT-5.6 Luna Pro (batch) (openai/gpt-5.6-luna-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Luna Pro (batch) (openai/gpt-5.6-luna-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2026-02-16. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-luna-pro-batch.html"}
{"id":"openai/gpt-5.6-luna:batch","label":"OpenAI: GPT-5.6 Luna (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","pricing":{"inputPer1M":0.1,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-luna:batch","title":"OpenAI: GPT-5.6 Luna (batch)","abstract":"OpenAI: GPT-5.6 Luna (batch) (openai/gpt-5.6-luna:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Luna (batch) (openai/gpt-5.6-luna:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2026-02-16. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-luna-batch.html"}
{"id":"openai/gpt-5.6-sol","label":"OpenAI: GPT-5.6 Sol","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","releaseDate":"2026-07-09","pricing":{"inputPer1M":5,"outputPer1M":30,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-sol","title":"OpenAI: GPT-5.6 Sol","abstract":"OpenAI: GPT-5.6 Sol (openai/gpt-5.6-sol) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Sol (openai/gpt-5.6-sol) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $30 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Release date: 2026-07-09. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-sol.html"}
{"id":"openai/gpt-5.6-sol-pro","label":"OpenAI: GPT-5.6 Sol Pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","releaseDate":"2026-07-09","pricing":{"inputPer1M":5,"outputPer1M":30,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-sol-pro","title":"OpenAI: GPT-5.6 Sol Pro","abstract":"OpenAI: GPT-5.6 Sol Pro (openai/gpt-5.6-sol-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Sol Pro (openai/gpt-5.6-sol-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $30 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Release date: 2026-07-09. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-sol-pro.html"}
{"id":"openai/gpt-5.6-sol-pro:batch","label":"OpenAI: GPT-5.6 Sol Pro (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-sol-pro:batch","title":"OpenAI: GPT-5.6 Sol Pro (batch)","abstract":"OpenAI: GPT-5.6 Sol Pro (batch) (openai/gpt-5.6-sol-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Sol Pro (batch) (openai/gpt-5.6-sol-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2026-02-16. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-sol-pro-batch.html"}
{"id":"openai/gpt-5.6-sol:batch","label":"OpenAI: GPT-5.6 Sol (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-sol:batch","title":"OpenAI: GPT-5.6 Sol (batch)","abstract":"OpenAI: GPT-5.6 Sol (batch) (openai/gpt-5.6-sol:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Sol (batch) (openai/gpt-5.6-sol:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2026-02-16. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-sol-batch.html"}
{"id":"openai/gpt-5.6-terra","label":"OpenAI: GPT-5.6 Terra","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","releaseDate":"2026-07-09","pricing":{"inputPer1M":2.5,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-terra","title":"OpenAI: GPT-5.6 Terra","abstract":"OpenAI: GPT-5.6 Terra (openai/gpt-5.6-terra) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Terra (openai/gpt-5.6-terra) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Release date: 2026-07-09. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-terra.html"}
{"id":"openai/gpt-5.6-terra-pro","label":"OpenAI: GPT-5.6 Terra Pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","releaseDate":"2026-07-09","pricing":{"inputPer1M":2.5,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-terra-pro","title":"OpenAI: GPT-5.6 Terra Pro","abstract":"OpenAI: GPT-5.6 Terra Pro (openai/gpt-5.6-terra-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Terra Pro (openai/gpt-5.6-terra-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2.5 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-16. Release date: 2026-07-09. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-terra-pro.html"}
{"id":"openai/gpt-5.6-terra-pro:batch","label":"OpenAI: GPT-5.6 Terra Pro (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","pricing":{"inputPer1M":1,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-terra-pro:batch","title":"OpenAI: GPT-5.6 Terra Pro (batch)","abstract":"OpenAI: GPT-5.6 Terra Pro (batch) (openai/gpt-5.6-terra-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Terra Pro (batch) (openai/gpt-5.6-terra-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2026-02-16. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-terra-pro-batch.html"}
{"id":"openai/gpt-5.6-terra:batch","label":"OpenAI: GPT-5.6 Terra (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-16","pricing":{"inputPer1M":1,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-5.6-terra:batch","title":"OpenAI: GPT-5.6 Terra (batch)","abstract":"OpenAI: GPT-5.6 Terra (batch) (openai/gpt-5.6-terra:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-5.6 Terra (batch) (openai/gpt-5.6-terra:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2026-02-16. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-5.6-terra-batch.html"}
{"id":"openai/gpt-6-astra","label":"OpenAI: GPT-6 Astra","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-04-30","releaseDate":"2026-09-04","pricing":{"inputPer1M":10,"outputPer1M":50,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-astra","title":"OpenAI: GPT-6 Astra","abstract":"OpenAI: GPT-6 Astra (openai/gpt-6-astra) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Astra (openai/gpt-6-astra) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10 in / $50 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-04-30. Release date: 2026-09-04. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-astra.html"}
{"id":"openai/gpt-6-astra-pro","label":"OpenAI: GPT-6 Astra Pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-09-04","pricing":{"inputPer1M":10,"outputPer1M":50,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-astra-pro","title":"OpenAI: GPT-6 Astra Pro","abstract":"OpenAI: GPT-6 Astra Pro (openai/gpt-6-astra-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Astra Pro (openai/gpt-6-astra-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $10 in / $50 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-04. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-astra-pro.html"}
{"id":"openai/gpt-6-astra-pro:batch","label":"OpenAI: GPT-6 Astra Pro (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-astra-pro:batch","title":"OpenAI: GPT-6 Astra Pro (batch)","abstract":"OpenAI: GPT-6 Astra Pro (batch) (openai/gpt-6-astra-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Astra Pro (batch) (openai/gpt-6-astra-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-astra-pro-batch.html"}
{"id":"openai/gpt-6-astra:batch","label":"OpenAI: GPT-6 Astra (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":5,"outputPer1M":25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-astra:batch","title":"OpenAI: GPT-6 Astra (batch)","abstract":"OpenAI: GPT-6 Astra (batch) (openai/gpt-6-astra:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Astra (batch) (openai/gpt-6-astra:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-astra-batch.html"}
{"id":"openai/gpt-6-luna","label":"OpenAI: GPT-6 Luna","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-05-18","releaseDate":"2026-09-22","pricing":{"inputPer1M":0.1,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-luna","title":"OpenAI: GPT-6 Luna","abstract":"OpenAI: GPT-6 Luna (openai/gpt-6-luna) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Luna (openai/gpt-6-luna) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-05-18. Release date: 2026-09-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-luna.html"}
{"id":"openai/gpt-6-luna-pro","label":"OpenAI: GPT-6 Luna Pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-09-22","pricing":{"inputPer1M":0.1,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-luna-pro","title":"OpenAI: GPT-6 Luna Pro","abstract":"OpenAI: GPT-6 Luna Pro (openai/gpt-6-luna-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Luna Pro (openai/gpt-6-luna-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.1 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-luna-pro.html"}
{"id":"openai/gpt-6-luna-pro:batch","label":"OpenAI: GPT-6 Luna Pro (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.05,"outputPer1M":0.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-luna-pro:batch","title":"OpenAI: GPT-6 Luna Pro (batch)","abstract":"OpenAI: GPT-6 Luna Pro (batch) (openai/gpt-6-luna-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Luna Pro (batch) (openai/gpt-6-luna-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.05 in / $0.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-luna-pro-batch.html"}
{"id":"openai/gpt-6-luna:batch","label":"OpenAI: GPT-6 Luna (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.05,"outputPer1M":0.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-luna:batch","title":"OpenAI: GPT-6 Luna (batch)","abstract":"OpenAI: GPT-6 Luna (batch) (openai/gpt-6-luna:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Luna (batch) (openai/gpt-6-luna:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.05 in / $0.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-luna-batch.html"}
{"id":"openai/gpt-6-sol","label":"OpenAI: GPT-6 Sol","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-04-20","releaseDate":"2026-09-22","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-sol","title":"OpenAI: GPT-6 Sol","abstract":"OpenAI: GPT-6 Sol (openai/gpt-6-sol) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Sol (openai/gpt-6-sol) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-04-20. Release date: 2026-09-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-sol.html"}
{"id":"openai/gpt-6-sol-pro","label":"OpenAI: GPT-6 Sol Pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-09-22","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-sol-pro","title":"OpenAI: GPT-6 Sol Pro","abstract":"OpenAI: GPT-6 Sol Pro (openai/gpt-6-sol-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Sol Pro (openai/gpt-6-sol-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-sol-pro.html"}
{"id":"openai/gpt-6-sol-pro:batch","label":"OpenAI: GPT-6 Sol Pro (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-sol-pro:batch","title":"OpenAI: GPT-6 Sol Pro (batch)","abstract":"OpenAI: GPT-6 Sol Pro (batch) (openai/gpt-6-sol-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Sol Pro (batch) (openai/gpt-6-sol-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-sol-pro-batch.html"}
{"id":"openai/gpt-6-sol:batch","label":"OpenAI: GPT-6 Sol (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6-sol:batch","title":"OpenAI: GPT-6 Sol (batch)","abstract":"OpenAI: GPT-6 Sol (batch) (openai/gpt-6-sol:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: GPT-6 Sol (batch) (openai/gpt-6-sol:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6-sol-batch.html"}
{"id":"openai/gpt-6.1-sol","label":"OpenAI: GPT-6.1 Sol","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-04-30","releaseDate":"2026-09-29","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6.1-sol","title":"OpenAI: GPT-6.1 Sol","abstract":"OpenAI: GPT-6.1 Sol (openai/gpt-6.1-sol) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-6.1 Sol (openai/gpt-6.1-sol) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-04-30. Release date: 2026-09-29. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6.1-sol.html"}
{"id":"openai/gpt-6.1-sol-pro","label":"OpenAI: GPT-6.1 Sol Pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-09-29","pricing":{"inputPer1M":2,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6.1-sol-pro","title":"OpenAI: GPT-6.1 Sol Pro","abstract":"OpenAI: GPT-6.1 Sol Pro (openai/gpt-6.1-sol-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-6.1 Sol Pro (openai/gpt-6.1-sol-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-09-29. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6.1-sol-pro.html"}
{"id":"openai/gpt-6.1-sol-pro:batch","label":"OpenAI: GPT-6.1 Sol Pro (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6.1-sol-pro:batch","title":"OpenAI: GPT-6.1 Sol Pro (batch)","abstract":"OpenAI: GPT-6.1 Sol Pro (batch) (openai/gpt-6.1-sol-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-6.1 Sol Pro (batch) (openai/gpt-6.1-sol-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6.1-sol-pro-batch.html"}
{"id":"openai/gpt-6.1-sol:batch","label":"OpenAI: GPT-6.1 Sol (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6.1-sol:batch","title":"OpenAI: GPT-6.1 Sol (batch)","abstract":"OpenAI: GPT-6.1 Sol (batch) (openai/gpt-6.1-sol:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-6.1 Sol (batch) (openai/gpt-6.1-sol:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6.1-sol-batch.html"}
{"id":"openai/gpt-6.1-terra","label":"OpenAI: GPT-6.1 Terra","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-06-01","releaseDate":"2026-10-26","pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6.1-terra","title":"OpenAI: GPT-6.1 Terra","abstract":"OpenAI: GPT-6.1 Terra (openai/gpt-6.1-terra) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-6.1 Terra (openai/gpt-6.1-terra) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2026-06-01. Release date: 2026-10-26. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6.1-terra.html"}
{"id":"openai/gpt-6.1-terra-pro","label":"OpenAI: GPT-6.1 Terra Pro","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-10-26","pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6.1-terra-pro","title":"OpenAI: GPT-6.1 Terra Pro","abstract":"OpenAI: GPT-6.1 Terra Pro (openai/gpt-6.1-terra-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-6.1 Terra Pro (openai/gpt-6.1-terra-pro) is a chat model from openrouter with a 1.1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-10-26. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6.1-terra-pro.html"}
{"id":"openai/gpt-6.1-terra-pro:batch","label":"OpenAI: GPT-6.1 Terra Pro (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.5,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6.1-terra-pro:batch","title":"OpenAI: GPT-6.1 Terra Pro (batch)","abstract":"OpenAI: GPT-6.1 Terra Pro (batch) (openai/gpt-6.1-terra-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-6.1 Terra Pro (batch) (openai/gpt-6.1-terra-pro:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.5 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6.1-terra-pro-batch.html"}
{"id":"openai/gpt-6.1-terra:batch","label":"OpenAI: GPT-6.1 Terra (batch)","kind":"CHAT","contextWindow":1050000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":0.5,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-6.1-terra:batch","title":"OpenAI: GPT-6.1 Terra (batch)","abstract":"OpenAI: GPT-6.1 Terra (batch) (openai/gpt-6.1-terra:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: GPT-6.1 Terra (batch) (openai/gpt-6.1-terra:batch) is a chat model from openrouter with a 1.1M-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,050,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.5 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-6.1-terra-batch.html"}
{"id":"openai/gpt-audio","label":"OpenAI: GPT Audio","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["audio","text"],"output":["audio","text"]},"knowledgeCutoff":"2023-10-01","releaseDate":"2025-08-28","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-audio","title":"OpenAI: GPT Audio","abstract":"OpenAI: GPT Audio (openai/gpt-audio) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools; input audio, text; output audio, text.","text":"OpenAI: GPT Audio (openai/gpt-audio) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools; input audio, text; output audio, text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio, text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2023-10-01. Release date: 2025-08-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-audio.html"}
{"id":"openai/gpt-audio-mini","label":"OpenAI: GPT Audio Mini","kind":"CHAT","contextWindow":128000,"maxOutputTokens":16384,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["audio","text"],"output":["audio","text"]},"knowledgeCutoff":"2023-10-01","releaseDate":"2025-10-06","pricing":{"inputPer1M":0.6,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-audio-mini","title":"OpenAI: GPT Audio Mini","abstract":"OpenAI: GPT Audio Mini (openai/gpt-audio-mini) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools; input audio, text; output audio, text.","text":"OpenAI: GPT Audio Mini (openai/gpt-audio-mini) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities tools; input audio, text; output audio, text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.6 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, text. Output modalities: audio, text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2023-10-01. Release date: 2025-10-06. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-audio-mini.html"}
{"id":"openai/gpt-chat-latest","label":"OpenAI: GPT Chat Latest","kind":"CHAT","contextWindow":400000,"maxOutputTokens":128000,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":5,"outputPer1M":30,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-chat-latest","title":"OpenAI: GPT Chat Latest","abstract":"OpenAI: GPT Chat Latest (openai/gpt-chat-latest) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"OpenAI: GPT Chat Latest (openai/gpt-chat-latest) is a chat model from openrouter with a 400K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 400,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $30 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-chat-latest.html"}
{"id":"openai/gpt-oss-120b","label":"OpenAI: gpt-oss-120b","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-08-05","pricing":{"inputPer1M":0.18,"outputPer1M":0.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-oss-120b","title":"OpenAI: gpt-oss-120b","abstract":"OpenAI: gpt-oss-120b (openai/gpt-oss-120b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"OpenAI: gpt-oss-120b (openai/gpt-oss-120b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.18 in / $0.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-06-30. Release date: 2025-08-05. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-oss-120b.html"}
{"id":"openai/gpt-oss-120b:batch","label":"OpenAI: gpt-oss-120b (batch)","kind":"CHAT","contextWindow":131072,"maxOutputTokens":117964,"capabilities":["tools","reasoning"],"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","pricing":{"inputPer1M":0.0296,"outputPer1M":0.136,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-oss-120b:batch","title":"OpenAI: gpt-oss-120b (batch)","abstract":"OpenAI: gpt-oss-120b (batch) (openai/gpt-oss-120b:batch) is a chat model from openrouter with a 131.1K-token context window; capabilities tools, reasoning; input text; output text.","text":"OpenAI: gpt-oss-120b (batch) (openai/gpt-oss-120b:batch) is a chat model from openrouter with a 131.1K-token context window; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 117,964 tokens. Indicative price (US list): $0.0296 in / $0.136 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Knowledge cutoff: 2024-06-30. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-oss-120b-batch.html"}
{"id":"openai/gpt-oss-20b","label":"OpenAI: gpt-oss-20b","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-08-05","pricing":{"inputPer1M":0.02,"outputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-oss-20b","title":"OpenAI: gpt-oss-20b","abstract":"OpenAI: gpt-oss-20b (openai/gpt-oss-20b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"OpenAI: gpt-oss-20b (openai/gpt-oss-20b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.02 in / $0.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-06-30. Release date: 2025-08-05. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-oss-20b.html"}
{"id":"openai/gpt-oss-20b:batch","label":"OpenAI: gpt-oss-20b (batch)","kind":"CHAT","contextWindow":131072,"maxOutputTokens":117964,"capabilities":["tools","reasoning"],"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","pricing":{"inputPer1M":0.024,"outputPer1M":0.112,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-oss-20b:batch","title":"OpenAI: gpt-oss-20b (batch)","abstract":"OpenAI: gpt-oss-20b (batch) (openai/gpt-oss-20b:batch) is a chat model from openrouter with a 131.1K-token context window; capabilities tools, reasoning; input text; output text.","text":"OpenAI: gpt-oss-20b (batch) (openai/gpt-oss-20b:batch) is a chat model from openrouter with a 131.1K-token context window; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 117,964 tokens. Indicative price (US list): $0.024 in / $0.112 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Knowledge cutoff: 2024-06-30. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-oss-20b-batch.html"}
{"id":"openai/gpt-oss-safeguard-20b","label":"OpenAI: gpt-oss-safeguard-20b","kind":"CHAT","contextWindow":131072,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-10-29","pricing":{"inputPer1M":0.075,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/gpt-oss-safeguard-20b","title":"OpenAI: gpt-oss-safeguard-20b","abstract":"OpenAI: gpt-oss-safeguard-20b (openai/gpt-oss-safeguard-20b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"OpenAI: gpt-oss-safeguard-20b (openai/gpt-oss-safeguard-20b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.075 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2025-10-29. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-gpt-oss-safeguard-20b.html"}
{"id":"openai/o3","label":"OpenAI: o3","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-04-16","pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/o3","title":"OpenAI: o3","abstract":"OpenAI: o3 (openai/o3) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: o3 (openai/o3) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-06-30. Release date: 2025-04-16. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-o3.html"}
{"id":"openai/o3-mini:batch","label":"OpenAI: o3 Mini (batch)","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","reasoning"],"modalities":{"input":["pdf","text"],"output":["text"]},"knowledgeCutoff":"2023-10-31","pricing":{"inputPer1M":0.55,"outputPer1M":2.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/o3-mini:batch","title":"OpenAI: o3 Mini (batch)","abstract":"OpenAI: o3 Mini (batch) (openai/o3-mini:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, reasoning; input pdf, text; output text.","text":"OpenAI: o3 Mini (batch) (openai/o3-mini:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, reasoning; input pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $0.55 in / $2.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: pdf, text. Output modalities: text. Capabilities: tools, reasoning. Knowledge cutoff: 2023-10-31. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-o3-mini-batch.html"}
{"id":"openai/o3-pro","label":"OpenAI: o3 Pro","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-06-10","pricing":{"inputPer1M":20,"outputPer1M":80,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/o3-pro","title":"OpenAI: o3 Pro","abstract":"OpenAI: o3 Pro (openai/o3-pro) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"OpenAI: o3 Pro (openai/o3-pro) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $20 in / $80 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-06-30. Release date: 2025-06-10. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-o3-pro.html"}
{"id":"openai/o3:batch","label":"OpenAI: o3 (batch)","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","pricing":{"inputPer1M":1,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/o3:batch","title":"OpenAI: o3 (batch)","abstract":"OpenAI: o3 (batch) (openai/o3:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: o3 (batch) (openai/o3:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $1 in / $4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2024-06-30. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-o3-batch.html"}
{"id":"openai/o4-mini:batch","label":"OpenAI: o4 Mini (batch)","kind":"CHAT","contextWindow":200000,"maxOutputTokens":100000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","pricing":{"inputPer1M":0.55,"outputPer1M":2.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openai/o4-mini:batch","title":"OpenAI: o4 Mini (batch)","abstract":"OpenAI: o4 Mini (batch) (openai/o4-mini:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"OpenAI: o4 Mini (batch) (openai/o4-mini:batch) is a chat model from openrouter with a 200K-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 100,000 tokens. Indicative price (US list): $0.55 in / $2.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Knowledge cutoff: 2024-06-30. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openai-o4-mini-batch.html"}
{"id":"openrouter/auto","label":"Auto Router","kind":"CHAT","contextWindow":2000000,"maxOutputTokens":2000000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["image","text"]},"releaseDate":"2023-11-08","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openrouter/auto","title":"Auto Router","abstract":"Auto Router (openrouter/auto) is a chat model from openrouter with a 2M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output image, text.","text":"Auto Router (openrouter/auto) is a chat model from openrouter with a 2M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 2,000,000 tokens. Max output tokens: 2,000,000 tokens. Input modalities: audio, image, pdf, text, video. Output modalities: image, text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2023-11-08. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openrouter-auto.html"}
{"id":"openrouter/auto-beta","label":"Auto Router (Beta)","kind":"CHAT","contextWindow":2000000,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["image","text"]},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openrouter/auto-beta","title":"Auto Router (Beta)","abstract":"Auto Router (Beta) (openrouter/auto-beta) is a chat model from openrouter with a 2M-token context window; capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output image, text.","text":"Auto Router (Beta) (openrouter/auto-beta) is a chat model from openrouter with a 2M-token context window; capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 2,000,000 tokens. Max output tokens: 65,536 tokens. Input modalities: audio, image, pdf, text, video. Output modalities: image, text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openrouter-auto-beta.html"}
{"id":"openrouter/auto-code","label":"Auto Code","kind":"CHAT","contextWindow":2000000,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["image","text"]},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openrouter/auto-code","title":"Auto Code","abstract":"Auto Code (openrouter/auto-code) is a chat model from openrouter with a 2M-token context window; capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output image, text.","text":"Auto Code (openrouter/auto-code) is a chat model from openrouter with a 2M-token context window; capabilities tools, reasoning, vision; input audio, image, pdf, text, video; output image, text. Vendor: openrouter. Kind: CHAT. Context window: 2,000,000 tokens. Max output tokens: 65,536 tokens. Input modalities: audio, image, pdf, text, video. Output modalities: image, text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openrouter-auto-code.html"}
{"id":"openrouter/bodybuilder","label":"Body Builder (beta)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":128000,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-12-05","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openrouter/bodybuilder","title":"Body Builder (beta)","abstract":"Body Builder (beta) (openrouter/bodybuilder) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); input text; output text.","text":"Body Builder (beta) (openrouter/bodybuilder) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 128,000 tokens. Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Release date: 2025-12-05. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openrouter-bodybuilder.html"}
{"id":"openrouter/free","label":"Free Models Router","kind":"CHAT","contextWindow":200000,"maxOutputTokens":8000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-02-01","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openrouter/free","title":"Free Models Router","abstract":"Free Models Router (openrouter/free) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text.","text":"Free Models Router (openrouter/free) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 8,000 tokens. Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-02-01. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openrouter-free.html"}
{"id":"openrouter/fusion","label":"OpenRouter: Fusion","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-06-13","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openrouter/fusion","title":"OpenRouter: Fusion","abstract":"OpenRouter: Fusion (openrouter/fusion) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); input text; output text.","text":"OpenRouter: Fusion (openrouter/fusion) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Release date: 2026-06-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openrouter-fusion.html"}
{"id":"openrouter/pareto-code","label":"Pareto Code Router","kind":"CHAT","contextWindow":2000000,"maxOutputTokens":200000,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-04-21","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/openrouter/pareto-code","title":"Pareto Code Router","abstract":"Pareto Code Router (openrouter/pareto-code) is a chat model from openrouter with a 2M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Pareto Code Router (openrouter/pareto-code) is a chat model from openrouter with a 2M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 2,000,000 tokens. Max output tokens: 200,000 tokens. Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-04-21. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/openrouter-pareto-code.html"}
{"id":"particle-ai/particle-1","label":"Particle AI: Particle-1","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-10-28","pricing":{"inputPer1M":0.25,"outputPer1M":1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/particle-ai/particle-1","title":"Particle AI: Particle-1","abstract":"Particle AI: Particle-1 (particle-ai/particle-1) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text.","text":"Particle AI: Particle-1 (particle-ai/particle-1) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.25 in / $1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-10-28. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/particle-ai-particle-1.html"}
{"id":"perceptron/perceptron-mk1","label":"Perceptron: Perceptron Mk1","kind":"CHAT","contextWindow":32768,"maxOutputTokens":8192,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-05-12","pricing":{"inputPer1M":0.15,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/perceptron/perceptron-mk1","title":"Perceptron: Perceptron Mk1","abstract":"Perceptron: Perceptron Mk1 (perceptron/perceptron-mk1) is a chat model from openrouter with a 32.8K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text, video; output text.","text":"Perceptron: Perceptron Mk1 (perceptron/perceptron-mk1) is a chat model from openrouter with a 32.8K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.15 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-05-12. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/perceptron-perceptron-mk1.html"}
{"id":"perceptron/perceptron-mk1.5","label":"Perceptron: Perceptron Mk1.5","kind":"CHAT","contextWindow":36864,"maxOutputTokens":8192,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","text","video"],"output":["text"]},"releaseDate":"2026-09-25","pricing":{"inputPer1M":0.15,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/perceptron/perceptron-mk1.5","title":"Perceptron: Perceptron Mk1.5","abstract":"Perceptron: Perceptron Mk1.5 (perceptron/perceptron-mk1.5) is a chat model from openrouter with a 36.9K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text, video; output text.","text":"Perceptron: Perceptron Mk1.5 (perceptron/perceptron-mk1.5) is a chat model from openrouter with a 36.9K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 36,864 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.15 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-25. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/perceptron-perceptron-mk1.5.html"}
{"id":"perplexity/sonar","label":"Perplexity: Sonar","kind":"CHAT","contextWindow":127072,"maxOutputTokens":114364,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2025-01-27","pricing":{"inputPer1M":1,"outputPer1M":1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":7.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/perplexity/sonar","title":"Perplexity: Sonar","abstract":"Perplexity: Sonar (perplexity/sonar) is a chat model from openrouter with a 127.1K-token context window; proprietary (API-only); capabilities vision; input image, text; output text.","text":"Perplexity: Sonar (perplexity/sonar) is a chat model from openrouter with a 127.1K-token context window; proprietary (API-only); capabilities vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 127,072 tokens. Max output tokens: 114,364 tokens. Indicative price (US list): $1 in / $1 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 7.7 (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2025-01-27. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/perplexity-sonar.html"}
{"id":"perplexity/sonar-deep-research","label":"Perplexity: Sonar Deep Research","kind":"CHAT","contextWindow":128000,"maxOutputTokens":115200,"capabilities":["reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-03-07","pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/perplexity/sonar-deep-research","title":"Perplexity: Sonar Deep Research","abstract":"Perplexity: Sonar Deep Research (perplexity/sonar-deep-research) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities reasoning; input text; output text.","text":"Perplexity: Sonar Deep Research (perplexity/sonar-deep-research) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 115,200 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: reasoning. Weights: Proprietary (API-only). Release date: 2025-03-07. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/perplexity-sonar-deep-research.html"}
{"id":"perplexity/sonar-pro","label":"Perplexity: Sonar Pro","kind":"CHAT","contextWindow":200000,"maxOutputTokens":8000,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2025-03-07","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":7.6,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/perplexity/sonar-pro","title":"Perplexity: Sonar Pro","abstract":"Perplexity: Sonar Pro (perplexity/sonar-pro) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities vision; input image, text; output text.","text":"Perplexity: Sonar Pro (perplexity/sonar-pro) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 8,000 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 7.6 (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2025-03-07. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/perplexity-sonar-pro.html"}
{"id":"perplexity/sonar-pro-search","label":"Perplexity: Sonar Pro Search","kind":"CHAT","contextWindow":200000,"maxOutputTokens":8000,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2025-10-30","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/perplexity/sonar-pro-search","title":"Perplexity: Sonar Pro Search","abstract":"Perplexity: Sonar Pro Search (perplexity/sonar-pro-search) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output text.","text":"Perplexity: Sonar Pro Search (perplexity/sonar-pro-search) is a chat model from openrouter with a 200K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 8,000 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Release date: 2025-10-30. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/perplexity-sonar-pro-search.html"}
{"id":"perplexity/sonar-reasoning-pro","label":"Perplexity: Sonar Reasoning Pro","kind":"CHAT","contextWindow":128000,"maxOutputTokens":115200,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2025-03-07","pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":11.8,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/perplexity/sonar-reasoning-pro","title":"Perplexity: Sonar Reasoning Pro","abstract":"Perplexity: Sonar Reasoning Pro (perplexity/sonar-reasoning-pro) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output text.","text":"Perplexity: Sonar Reasoning Pro (perplexity/sonar-reasoning-pro) is a chat model from openrouter with a 128K-token context window; proprietary (API-only); capabilities reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 115,200 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 11.8 (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Release date: 2025-03-07. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/perplexity-sonar-reasoning-pro.html"}
{"id":"prism-ml/ternary-bonsai-2-27b","label":"PrismML: Ternary Bonsai 2 27B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-09-18","pricing":{"inputPer1M":0.075,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/prism-ml/ternary-bonsai-2-27b","title":"PrismML: Ternary Bonsai 2 27B","abstract":"PrismML: Ternary Bonsai 2 27B (prism-ml/ternary-bonsai-2-27b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"PrismML: Ternary Bonsai 2 27B (prism-ml/ternary-bonsai-2-27b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.075 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-09-18. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/prism-ml-ternary-bonsai-2-27b.html"}
{"id":"prism-ml/ternary-bonsai-2-9b","label":"PrismML: Ternary Bonsai 2 9B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-10-16","pricing":{"inputPer1M":0.08,"outputPer1M":0.13,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/prism-ml/ternary-bonsai-2-9b","title":"PrismML: Ternary Bonsai 2 9B","abstract":"PrismML: Ternary Bonsai 2 9B (prism-ml/ternary-bonsai-2-9b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text.","text":"PrismML: Ternary Bonsai 2 9B (prism-ml/ternary-bonsai-2-9b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.08 in / $0.13 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-10-16. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/prism-ml-ternary-bonsai-2-9b.html"}
{"id":"qwen/qwen-2.5-72b-instruct","label":"Qwen2.5 72B Instruct","kind":"CHAT","contextWindow":32768,"maxOutputTokens":16384,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2024-09-19","pricing":{"inputPer1M":0.36,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":7.7,"scores":{"math":{"value":14}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":28.09,"latencyTtftSec":4.12,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen-2.5-72b-instruct","title":"Qwen2.5 72B Instruct","abstract":"Qwen2.5 72B Instruct (qwen/qwen-2.5-72b-instruct) is a chat model from openrouter with a 32.8K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen2.5 72B Instruct (qwen/qwen-2.5-72b-instruct) is a chat model from openrouter with a 32.8K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.36 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 7.7 · math 14 (cited from Artificial Analysis — verify at the source). Cited speed: 28.09 tokens/s · 4.12s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-06-30. Release date: 2024-09-19. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen-2.5-72b-instruct.html"}
{"id":"qwen/qwen-2.5-7b-instruct","label":"Qwen: Qwen2.5 7B Instruct","kind":"CHAT","contextWindow":32768,"maxOutputTokens":32768,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2024-10-16","pricing":{"inputPer1M":0.04,"outputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen-2.5-7b-instruct","title":"Qwen: Qwen2.5 7B Instruct","abstract":"Qwen: Qwen2.5 7B Instruct (qwen/qwen-2.5-7b-instruct) is a chat model from openrouter with a 32.8K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen: Qwen2.5 7B Instruct (qwen/qwen-2.5-7b-instruct) is a chat model from openrouter with a 32.8K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.04 in / $0.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-06-30. Release date: 2024-10-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen-2.5-7b-instruct.html"}
{"id":"qwen/qwen-2.5-coder-32b-instruct","label":"Qwen2.5 Coder 32B Instruct","kind":"CHAT","contextWindow":33792,"maxOutputTokens":33792,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2024-11-12","pricing":{"inputPer1M":0.18,"outputPer1M":0.18,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":6.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen-2.5-coder-32b-instruct","title":"Qwen2.5 Coder 32B Instruct","abstract":"Qwen2.5 Coder 32B Instruct (qwen/qwen-2.5-coder-32b-instruct) is a chat model from openrouter with a 33.8K-token context window; open-weight; input text; output text.","text":"Qwen2.5 Coder 32B Instruct (qwen/qwen-2.5-coder-32b-instruct) is a chat model from openrouter with a 33.8K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 33,792 tokens. Max output tokens: 33,792 tokens. Indicative price (US list): $0.18 in / $0.18 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.7 (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2024-06-30. Release date: 2024-11-12. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen-2.5-coder-32b-instruct.html"}
{"id":"qwen/qwen-plus","label":"Qwen: Qwen-Plus","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":32768,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","pricing":{"inputPer1M":0.26,"outputPer1M":0.78,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen-plus","title":"Qwen: Qwen-Plus","abstract":"Qwen: Qwen-Plus (qwen/qwen-plus) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools; input text; output text.","text":"Qwen: Qwen-Plus (qwen/qwen-plus) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.26 in / $0.78 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2025-03-31. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen-plus.html"}
{"id":"qwen/qwen2.5-vl-72b-instruct","label":"Qwen: Qwen2.5 VL 72B Instruct","kind":"CHAT","contextWindow":128000,"maxOutputTokens":128000,"capabilities":["vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-01-26","pricing":{"inputPer1M":0.8,"outputPer1M":1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen2.5-vl-72b-instruct","title":"Qwen: Qwen2.5 VL 72B Instruct","abstract":"Qwen: Qwen2.5 VL 72B Instruct (qwen/qwen2.5-vl-72b-instruct) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities vision; input image, text; output text.","text":"Qwen: Qwen2.5 VL 72B Instruct (qwen/qwen2.5-vl-72b-instruct) is a chat model from openrouter with a 128K-token context window; open-weight; capabilities vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.8 in / $1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: vision. Weights: Open-weight. Knowledge cutoff: 2024-06-30. Release date: 2025-01-26. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen2.5-vl-72b-instruct.html"}
{"id":"qwen/qwen3-14b","label":"Qwen: Qwen3 14B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-04-28","pricing":{"inputPer1M":0.2275,"outputPer1M":0.91,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-14b","title":"Qwen: Qwen3 14B","abstract":"Qwen: Qwen3 14B (qwen/qwen3-14b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen: Qwen3 14B (qwen/qwen3-14b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.2275 in / $0.91 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-04-28. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-14b.html"}
{"id":"qwen/qwen3-235b-a22b-2507","label":"Qwen: Qwen3 235B A22B Instruct 2507","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-06-30","releaseDate":"2025-07-21","pricing":{"inputPer1M":0.071,"outputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-235b-a22b-2507","title":"Qwen: Qwen3 235B A22B Instruct 2507","abstract":"Qwen: Qwen3 235B A22B Instruct 2507 (qwen/qwen3-235b-a22b-2507) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen: Qwen3 235B A22B Instruct 2507 (qwen/qwen3-235b-a22b-2507) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.071 in / $0.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-06-30. Release date: 2025-07-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-235b-a22b-2507.html"}
{"id":"qwen/qwen3-235b-a22b-thinking-2507","label":"Qwen: Qwen3 235B A22B Thinking 2507","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-06-30","releaseDate":"2025-07-25","pricing":{"inputPer1M":0.11,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-235b-a22b-thinking-2507","title":"Qwen: Qwen3 235B A22B Thinking 2507","abstract":"Qwen: Qwen3 235B A22B Thinking 2507 (qwen/qwen3-235b-a22b-thinking-2507) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen: Qwen3 235B A22B Thinking 2507 (qwen/qwen3-235b-a22b-thinking-2507) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.11 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-06-30. Release date: 2025-07-25. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-235b-a22b-thinking-2507.html"}
{"id":"qwen/qwen3-30b-a3b","label":"Qwen: Qwen3 30B A3B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-04-28","pricing":{"inputPer1M":0.13,"outputPer1M":0.52,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-30b-a3b","title":"Qwen: Qwen3 30B A3B","abstract":"Qwen: Qwen3 30B A3B (qwen/qwen3-30b-a3b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen: Qwen3 30B A3B (qwen/qwen3-30b-a3b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.13 in / $0.52 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-04-28. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-30b-a3b.html"}
{"id":"qwen/qwen3-30b-a3b-instruct-2507","label":"Qwen: Qwen3 30B A3B Instruct 2507","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-06-30","releaseDate":"2025-07-28","pricing":{"inputPer1M":0.1,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-30b-a3b-instruct-2507","title":"Qwen: Qwen3 30B A3B Instruct 2507","abstract":"Qwen: Qwen3 30B A3B Instruct 2507 (qwen/qwen3-30b-a3b-instruct-2507) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen: Qwen3 30B A3B Instruct 2507 (qwen/qwen3-30b-a3b-instruct-2507) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $0.1 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-06-30. Release date: 2025-07-28. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-30b-a3b-instruct-2507.html"}
{"id":"qwen/qwen3-32b","label":"Qwen: Qwen3 32B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":16384,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-04-28","pricing":{"inputPer1M":0.08,"outputPer1M":0.28,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-32b","title":"Qwen: Qwen3 32B","abstract":"Qwen: Qwen3 32B (qwen/qwen3-32b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen: Qwen3 32B (qwen/qwen3-32b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.08 in / $0.28 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-04-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-32b.html"}
{"id":"qwen/qwen3-coder","label":"Qwen: Qwen3 Coder 480B A35B","kind":"CHAT","contextWindow":262100,"maxOutputTokens":262100,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-06-30","releaseDate":"2025-07-22","pricing":{"inputPer1M":0.22,"outputPer1M":0.95,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-coder","title":"Qwen: Qwen3 Coder 480B A35B","abstract":"Qwen: Qwen3 Coder 480B A35B (qwen/qwen3-coder) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen: Qwen3 Coder 480B A35B (qwen/qwen3-coder) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,100 tokens. Max output tokens: 262,100 tokens. Indicative price (US list): $0.22 in / $0.95 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-06-30. Release date: 2025-07-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-coder.html"}
{"id":"qwen/qwen3-coder-30b-a3b-instruct","label":"Qwen: Qwen3 Coder 30B A3B Instruct","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-06-30","releaseDate":"2025-07-31","pricing":{"inputPer1M":0.07,"outputPer1M":0.27,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":9.6,"scores":{"math":{"value":29}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-coder-30b-a3b-instruct","title":"Qwen: Qwen3 Coder 30B A3B Instruct","abstract":"Qwen: Qwen3 Coder 30B A3B Instruct (qwen/qwen3-coder-30b-a3b-instruct) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen: Qwen3 Coder 30B A3B Instruct (qwen/qwen3-coder-30b-a3b-instruct) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.07 in / $0.27 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 9.6 · math 29 (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-06-30. Release date: 2025-07-31. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-coder-30b-a3b-instruct.html"}
{"id":"qwen/qwen3-coder-flash","label":"Qwen: Qwen3 Coder Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-06-30","releaseDate":"2025-07-28","pricing":{"inputPer1M":0.195,"outputPer1M":0.975,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-coder-flash","title":"Qwen: Qwen3 Coder Flash","abstract":"Qwen: Qwen3 Coder Flash (qwen/qwen3-coder-flash) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools; input text; output text.","text":"Qwen: Qwen3 Coder Flash (qwen/qwen3-coder-flash) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.195 in / $0.975 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Knowledge cutoff: 2025-06-30. Release date: 2025-07-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-coder-flash.html"}
{"id":"qwen/qwen3-coder-next","label":"Qwen: Qwen3 Coder Next","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-09","releaseDate":"2026-02-03","pricing":{"inputPer1M":0.11,"outputPer1M":0.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-coder-next","title":"Qwen: Qwen3 Coder Next","abstract":"Qwen: Qwen3 Coder Next (qwen/qwen3-coder-next) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen: Qwen3 Coder Next (qwen/qwen3-coder-next) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.11 in / $0.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-09. Release date: 2026-02-03. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-coder-next.html"}
{"id":"qwen/qwen3-next-80b-a3b-instruct","label":"Qwen: Qwen3 Next 80B A3B Instruct","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-09-30","pricing":{"inputPer1M":0.1,"outputPer1M":1.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":9.6,"scores":{"math":{"value":66.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":124.786,"latencyTtftSec":0.601,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-next-80b-a3b-instruct","title":"Qwen: Qwen3 Next 80B A3B Instruct","abstract":"Qwen: Qwen3 Next 80B A3B Instruct (qwen/qwen3-next-80b-a3b-instruct) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen: Qwen3 Next 80B A3B Instruct (qwen/qwen3-next-80b-a3b-instruct) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.1 in / $1.1 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 9.6 · math 66.3 (cited from Artificial Analysis — verify at the source). Cited speed: 124.786 tokens/s · 0.601s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-09-30. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-next-80b-a3b-instruct.html"}
{"id":"qwen/qwen3-vl-235b-a22b-instruct","label":"Qwen: Qwen3 VL 235B A22B Instruct","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-09-23","pricing":{"inputPer1M":0.21,"outputPer1M":1.9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":9.9,"scores":{"math":{"value":70.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":38.86,"latencyTtftSec":1.23,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-vl-235b-a22b-instruct","title":"Qwen: Qwen3 VL 235B A22B Instruct","abstract":"Qwen: Qwen3 VL 235B A22B Instruct (qwen/qwen3-vl-235b-a22b-instruct) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Qwen: Qwen3 VL 235B A22B Instruct (qwen/qwen3-vl-235b-a22b-instruct) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.21 in / $1.9 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 9.9 · math 70.7 (cited from Artificial Analysis — verify at the source). Cited speed: 38.86 tokens/s · 1.23s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-09-23. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-vl-235b-a22b-instruct.html"}
{"id":"qwen/qwen3-vl-30b-a3b-instruct","label":"Qwen: Qwen3 VL 30B A3B Instruct","kind":"CHAT","contextWindow":262144,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-10-04","pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":7.9,"scores":{"math":{"value":72.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":40.37,"latencyTtftSec":2.66,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-vl-30b-a3b-instruct","title":"Qwen: Qwen3 VL 30B A3B Instruct","abstract":"Qwen: Qwen3 VL 30B A3B Instruct (qwen/qwen3-vl-30b-a3b-instruct) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Qwen: Qwen3 VL 30B A3B Instruct (qwen/qwen3-vl-30b-a3b-instruct) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 7.9 · math 72.3 (cited from Artificial Analysis — verify at the source). Cited speed: 40.37 tokens/s · 2.66s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-10-04. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-vl-30b-a3b-instruct.html"}
{"id":"qwen/qwen3-vl-30b-a3b-thinking","label":"Qwen: Qwen3 VL 30B A3B Thinking","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-10-06","pricing":{"inputPer1M":0.13,"outputPer1M":1.56,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-vl-30b-a3b-thinking","title":"Qwen: Qwen3 VL 30B A3B Thinking","abstract":"Qwen: Qwen3 VL 30B A3B Thinking (qwen/qwen3-vl-30b-a3b-thinking) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text.","text":"Qwen: Qwen3 VL 30B A3B Thinking (qwen/qwen3-vl-30b-a3b-thinking) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.13 in / $1.56 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-10-06. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-vl-30b-a3b-thinking.html"}
{"id":"qwen/qwen3-vl-8b-instruct","label":"Qwen: Qwen3 VL 8B Instruct","kind":"CHAT","contextWindow":262144,"maxOutputTokens":32768,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2025-10-14","pricing":{"inputPer1M":0.117,"outputPer1M":0.455,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":7.3,"scores":{"math":{"value":27.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3-vl-8b-instruct","title":"Qwen: Qwen3 VL 8B Instruct","abstract":"Qwen: Qwen3 VL 8B Instruct (qwen/qwen3-vl-8b-instruct) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text.","text":"Qwen: Qwen3 VL 8B Instruct (qwen/qwen3-vl-8b-instruct) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.117 in / $0.455 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 7.3 · math 27.3 (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Release date: 2025-10-14. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3-vl-8b-instruct.html"}
{"id":"qwen/qwen3.5-122b-a10b","label":"Qwen: Qwen3.5-122B-A10B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-23","pricing":{"inputPer1M":0.4,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":15.6,"scores":{"coding":{"value":45.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":133.727,"latencyTtftSec":0.937,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.5-122b-a10b","title":"Qwen: Qwen3.5-122B-A10B","abstract":"Qwen: Qwen3.5-122B-A10B (qwen/qwen3.5-122b-a10b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.5-122B-A10B (qwen/qwen3.5-122b-a10b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.4 in / $2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 15.6 · coding 45.7 (cited from Artificial Analysis — verify at the source). Cited speed: 133.727 tokens/s · 0.937s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-02-23. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.5-122b-a10b.html"}
{"id":"qwen/qwen3.5-27b","label":"Qwen: Qwen3.5-27B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-23","pricing":{"inputPer1M":0.3,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":22.9,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.5-27b","title":"Qwen: Qwen3.5-27B","abstract":"Qwen: Qwen3.5-27B (qwen/qwen3.5-27b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.5-27B (qwen/qwen3.5-27b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.3 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 22.9 (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-02-23. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.5-27b.html"}
{"id":"qwen/qwen3.5-35b-a3b","label":"Qwen: Qwen3.5-35B-A3B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-23","pricing":{"inputPer1M":0.25,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":19.3,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.5-35b-a3b","title":"Qwen: Qwen3.5-35B-A3B","abstract":"Qwen: Qwen3.5-35B-A3B (qwen/qwen3.5-35b-a3b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.5-35B-A3B (qwen/qwen3.5-35b-a3b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 19.3 (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-02-23. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.5-35b-a3b.html"}
{"id":"qwen/qwen3.5-397b-a17b","label":"Qwen: Qwen3.5 397B A17B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-15","pricing":{"inputPer1M":0.6,"outputPer1M":3.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":18.4,"scores":{"coding":{"value":48.2}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":58.8,"latencyTtftSec":1.598,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.5-397b-a17b","title":"Qwen: Qwen3.5 397B A17B","abstract":"Qwen: Qwen3.5 397B A17B (qwen/qwen3.5-397b-a17b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.5 397B A17B (qwen/qwen3.5-397b-a17b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.6 in / $3.6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 18.4 · coding 48.2 (cited from Artificial Analysis — verify at the source). Cited speed: 58.8 tokens/s · 1.598s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-02-15. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.5-397b-a17b.html"}
{"id":"qwen/qwen3.5-9b","label":"Qwen: Qwen3.5-9B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-23","pricing":{"inputPer1M":0.1,"outputPer1M":0.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":13.7,"scores":{"coding":{"value":28.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":64.17,"latencyTtftSec":1.54,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.5-9b","title":"Qwen: Qwen3.5-9B","abstract":"Qwen: Qwen3.5-9B (qwen/qwen3.5-9b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Qwen: Qwen3.5-9B (qwen/qwen3.5-9b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.1 in / $0.15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 13.7 · coding 28.7 (cited from Artificial Analysis — verify at the source). Cited speed: 64.17 tokens/s · 1.54s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-02-23. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.5-9b.html"}
{"id":"qwen/qwen3.5-flash-02-23","label":"Qwen: Qwen3.5-Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-25","pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.5-flash-02-23","title":"Qwen: Qwen3.5-Flash","abstract":"Qwen: Qwen3.5-Flash (qwen/qwen3.5-flash-02-23) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.5-Flash (qwen/qwen3.5-flash-02-23) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-02-25. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.5-flash-02-23.html"}
{"id":"qwen/qwen3.5-plus-02-15","label":"Qwen: Qwen3.5 Plus 2026-02-15","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2026-02-16","pricing":{"inputPer1M":0.4,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.5-plus-02-15","title":"Qwen: Qwen3.5 Plus 2026-02-15","abstract":"Qwen: Qwen3.5 Plus 2026-02-15 (qwen/qwen3.5-plus-02-15) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.5 Plus 2026-02-15 (qwen/qwen3.5-plus-02-15) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.4 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2026-02-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.5-plus-02-15.html"}
{"id":"qwen/qwen3.5-plus-20260420","label":"Qwen: Qwen3.5 Plus 2026-04-20","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-04-27","pricing":{"inputPer1M":0.3,"outputPer1M":1.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.5-plus-20260420","title":"Qwen: Qwen3.5 Plus 2026-04-20","abstract":"Qwen: Qwen3.5 Plus 2026-04-20 (qwen/qwen3.5-plus-20260420) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Qwen: Qwen3.5 Plus 2026-04-20 (qwen/qwen3.5-plus-20260420) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.3 in / $1.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-04-27. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.5-plus-20260420.html"}
{"id":"qwen/qwen3.6-27b","label":"Qwen: Qwen3.6 27B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262140,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-04-22","pricing":{"inputPer1M":0.288,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":21.4,"scores":{"coding":{"value":53.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":58.427,"latencyTtftSec":1.44,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.6-27b","title":"Qwen: Qwen3.6 27B","abstract":"Qwen: Qwen3.6 27B (qwen/qwen3.6-27b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Qwen: Qwen3.6 27B (qwen/qwen3.6-27b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,140 tokens. Indicative price (US list): $0.288 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 21.4 · coding 53.7 (cited from Artificial Analysis — verify at the source). Cited speed: 58.427 tokens/s · 1.44s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-04-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.6-27b.html"}
{"id":"qwen/qwen3.6-35b-a3b","label":"Qwen: Qwen3.6 35B A3B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":262144,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-04-17","pricing":{"inputPer1M":0.14,"outputPer1M":1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":18.2,"scores":{"coding":{"value":41.9}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":136.722,"latencyTtftSec":1.067,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.6-35b-a3b","title":"Qwen: Qwen3.6 35B A3B","abstract":"Qwen: Qwen3.6 35B A3B (qwen/qwen3.6-35b-a3b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Qwen: Qwen3.6 35B A3B (qwen/qwen3.6-35b-a3b) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.14 in / $1 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 18.2 · coding 41.9 (cited from Artificial Analysis — verify at the source). Cited speed: 136.722 tokens/s · 1.067s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-04-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.6-35b-a3b.html"}
{"id":"qwen/qwen3.6-flash","label":"Qwen: Qwen3.6 Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-04-27","pricing":{"inputPer1M":0.1875,"outputPer1M":1.125,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.6-flash","title":"Qwen: Qwen3.6 Flash","abstract":"Qwen: Qwen3.6 Flash (qwen/qwen3.6-flash) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Qwen: Qwen3.6 Flash (qwen/qwen3.6-flash) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.1875 in / $1.125 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-04-27. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.6-flash.html"}
{"id":"qwen/qwen3.6-plus","label":"Qwen: Qwen3.6 Plus","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2026-04-02","pricing":{"inputPer1M":0.325,"outputPer1M":1.95,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":27,"scores":{"coding":{"value":54.5}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":52.808,"latencyTtftSec":1.638,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.6-plus","title":"Qwen: Qwen3.6 Plus","abstract":"Qwen: Qwen3.6 Plus (qwen/qwen3.6-plus) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.6 Plus (qwen/qwen3.6-plus) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.325 in / $1.95 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 27 · coding 54.5 (cited from Artificial Analysis — verify at the source). Cited speed: 52.808 tokens/s · 1.638s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2026-04-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.6-plus.html"}
{"id":"qwen/qwen3.7-flash","label":"Qwen: Qwen3.7 Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-07-15","pricing":{"inputPer1M":0.03,"outputPer1M":0.13,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.7-flash","title":"Qwen: Qwen3.7 Flash","abstract":"Qwen: Qwen3.7 Flash (qwen/qwen3.7-flash) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.7 Flash (qwen/qwen3.7-flash) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.03 in / $0.13 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-07-15. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.7-flash.html"}
{"id":"qwen/qwen3.7-max","label":"Qwen: Qwen3.7 Max","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-05-21","pricing":{"inputPer1M":1.475,"outputPer1M":4.425,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":29.5,"scores":{"coding":{"value":66}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":199.573,"latencyTtftSec":1.579,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.7-max","title":"Qwen: Qwen3.7 Max","abstract":"Qwen: Qwen3.7 Max (qwen/qwen3.7-max) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Qwen: Qwen3.7 Max (qwen/qwen3.7-max) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.475 in / $4.425 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 29.5 · coding 66 (cited from Artificial Analysis — verify at the source). Cited speed: 199.573 tokens/s · 1.579s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-05-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.7-max.html"}
{"id":"qwen/qwen3.7-plus","label":"Qwen: Qwen3.7 Plus","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2026-06-02","pricing":{"inputPer1M":0.32,"outputPer1M":1.28,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":25.2,"scores":{"coding":{"value":55.9}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":54.825,"latencyTtftSec":1.753,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.7-plus","title":"Qwen: Qwen3.7 Plus","abstract":"Qwen: Qwen3.7 Plus (qwen/qwen3.7-plus) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text.","text":"Qwen: Qwen3.7 Plus (qwen/qwen3.7-plus) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.32 in / $1.28 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 25.2 · coding 55.9 (cited from Artificial Analysis — verify at the source). Cited speed: 54.825 tokens/s · 1.753s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2026-06-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.7-plus.html"}
{"id":"qwen/qwen3.7-plus:batch","label":"Qwen: Qwen3.7 Plus (batch)","kind":"CHAT","contextWindow":262144,"maxOutputTokens":131072,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["image","text"],"output":["text"]},"pricing":{"inputPer1M":0.23,"outputPer1M":0.92,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.7-plus:batch","title":"Qwen: Qwen3.7 Plus (batch)","abstract":"Qwen: Qwen3.7 Plus (batch) (qwen/qwen3.7-plus:batch) is a chat model from openrouter with a 262.1K-token context window; capabilities tools, reasoning, vision; input image, text; output text.","text":"Qwen: Qwen3.7 Plus (batch) (qwen/qwen3.7-plus:batch) is a chat model from openrouter with a 262.1K-token context window; capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.23 in / $0.92 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.7-plus-batch.html"}
{"id":"qwen/qwen3.8-2.4t-a95b","label":"Qwen: Qwen3.8 2.4T A95B","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-12","pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"performance":{"throughputTps":38.08,"latencyTtftSec":3.13,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.8-2.4t-a95b","title":"Qwen: Qwen3.8 2.4T A95B","abstract":"Qwen: Qwen3.8 2.4T A95B (qwen/qwen3.8-2.4t-a95b) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen: Qwen3.8 2.4T A95B (qwen/qwen3.8-2.4t-a95b) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 38.08 tokens/s · 3.13s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-12. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.8-2.4t-a95b.html"}
{"id":"qwen/qwen3.8-27b","label":"Qwen: Qwen3.8 27B","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-08-14","pricing":{"inputPer1M":0.42,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":20.1,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":40.01,"latencyTtftSec":4.03,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.8-27b","title":"Qwen: Qwen3.8 27B","abstract":"Qwen: Qwen3.8 27B (qwen/qwen3.8-27b) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.8 27B (qwen/qwen3.8-27b) is a chat model from openrouter with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.42 in / $3 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 20.1 (cited from Artificial Analysis — verify at the source). Cited speed: 40.01 tokens/s · 4.03s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-08-14. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.8-27b.html"}
{"id":"qwen/qwen3.8-flash","label":"Qwen: Qwen3.8 Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-08-26","pricing":{"inputPer1M":0.15,"outputPer1M":0.47,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.8-flash","title":"Qwen: Qwen3.8 Flash","abstract":"Qwen: Qwen3.8 Flash (qwen/qwen3.8-flash) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.8 Flash (qwen/qwen3.8-flash) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.15 in / $0.47 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-08-26. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.8-flash.html"}
{"id":"qwen/qwen3.8-max-0902","label":"Qwen: Qwen3.8 Max (0902)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-09-02","pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.8-max-0902","title":"Qwen: Qwen3.8 Max (0902)","abstract":"Qwen: Qwen3.8 Max (0902) (qwen/qwen3.8-max-0902) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.8 Max (0902) (qwen/qwen3.8-max-0902) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-02. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.8-max-0902.html"}
{"id":"qwen/qwen3.8-max-prime","label":"Qwen: Qwen3.8 Max Prime","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-09-23","pricing":{"inputPer1M":4,"outputPer1M":12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.8-max-prime","title":"Qwen: Qwen3.8 Max Prime","abstract":"Qwen: Qwen3.8 Max Prime (qwen/qwen3.8-max-prime) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen: Qwen3.8 Max Prime (qwen/qwen3.8-max-prime) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $4 in / $12 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-23. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.8-max-prime.html"}
{"id":"qwen/qwen3.8-omni-flash","label":"Qwen: Qwen3.8 Omni Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","text","video"],"output":["text"]},"releaseDate":"2026-09-17","pricing":{"inputPer1M":0.15,"outputPer1M":0.47,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/qwen/qwen3.8-omni-flash","title":"Qwen: Qwen3.8 Omni Flash","abstract":"Qwen: Qwen3.8 Omni Flash (qwen/qwen3.8-omni-flash) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text, video; output text.","text":"Qwen: Qwen3.8 Omni Flash (qwen/qwen3.8-omni-flash) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.15 in / $0.47 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/qwen-qwen3.8-omni-flash.html"}
{"id":"recursive/flint-v1.0:free","label":"Recursive: Flint (free)","kind":"CHAT","contextWindow":262144,"maxOutputTokens":235929,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-10-21","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/recursive/flint-v1.0:free","title":"Recursive: Flint (free)","abstract":"Recursive: Flint (free) (recursive/flint-v1.0:free) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Recursive: Flint (free) (recursive/flint-v1.0:free) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 235,929 tokens. Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-10-21. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/recursive-flint-v1.0-free.html"}
{"id":"reflection/beam-1.0-501b-a23b","label":"Reflection: Beam 1.0 501B A23B","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2026-06-30","releaseDate":"2026-10-05","pricing":{"inputPer1M":0.25,"outputPer1M":1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/reflection/beam-1.0-501b-a23b","title":"Reflection: Beam 1.0 501B A23B","abstract":"Reflection: Beam 1.0 501B A23B (reflection/beam-1.0-501b-a23b) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Reflection: Beam 1.0 501B A23B (reflection/beam-1.0-501b-a23b) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.25 in / $1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2026-06-30. Release date: 2026-10-05. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/reflection-beam-1.0-501b-a23b.html"}
{"id":"rekaai/reka-edge","label":"Reka Edge","kind":"CHAT","contextWindow":16384,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-03-11","pricing":{"inputPer1M":0.1,"outputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/rekaai/reka-edge","title":"Reka Edge","abstract":"Reka Edge (rekaai/reka-edge) is a chat model from openrouter with a 16.4K-token context window; open-weight; capabilities tools, vision; input image, text, video; output text.","text":"Reka Edge (rekaai/reka-edge) is a chat model from openrouter with a 16.4K-token context window; open-weight; capabilities tools, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 16,384 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.1 in / $0.1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision. Weights: Open-weight. Release date: 2026-03-11. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/rekaai-reka-edge.html"}
{"id":"rekaai/reka-flash-3","label":"Reka Flash 3","kind":"CHAT","contextWindow":65536,"maxOutputTokens":65536,"capabilities":["reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-01-31","releaseDate":"2025-03-10","pricing":{"inputPer1M":0.1,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":5.6,"scores":{"math":{"value":33.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":90.05,"latencyTtftSec":1.35,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/rekaai/reka-flash-3","title":"Reka Flash 3","abstract":"Reka Flash 3 (rekaai/reka-flash-3) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities reasoning; input text; output text.","text":"Reka Flash 3 (rekaai/reka-flash-3) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.1 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 5.6 · math 33.7 (cited from Artificial Analysis — verify at the source). Cited speed: 90.05 tokens/s · 1.35s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: reasoning. Weights: Open-weight. Knowledge cutoff: 2025-01-31. Release date: 2025-03-10. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/rekaai-reka-flash-3.html"}
{"id":"relace/relace-apply-3","label":"Relace: Relace Apply 3","kind":"CHAT","contextWindow":256000,"maxOutputTokens":128000,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-09-26","pricing":{"inputPer1M":0.85,"outputPer1M":1.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/relace/relace-apply-3","title":"Relace: Relace Apply 3","abstract":"Relace: Relace Apply 3 (relace/relace-apply-3) is a chat model from openrouter with a 256K-token context window; proprietary (API-only); input text; output text.","text":"Relace: Relace Apply 3 (relace/relace-apply-3) is a chat model from openrouter with a 256K-token context window; proprietary (API-only); input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.85 in / $1.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Release date: 2025-09-26. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/relace-relace-apply-3.html"}
{"id":"relace/relace-search","label":"Relace: Relace Search","kind":"CHAT","contextWindow":256000,"maxOutputTokens":128000,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-12-08","pricing":{"inputPer1M":1,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/relace/relace-search","title":"Relace: Relace Search","abstract":"Relace: Relace Search (relace/relace-search) is a chat model from openrouter with a 256K-token context window; proprietary (API-only); capabilities tools; input text; output text.","text":"Relace: Relace Search (relace/relace-search) is a chat model from openrouter with a 256K-token context window; proprietary (API-only); capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $3 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Release date: 2025-12-08. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/relace-relace-search.html"}
{"id":"ricursiveai/ripple-65b-preview","label":"ricursiveAI/Ripple-65B-Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-11-04","pricing":{"inputPer1M":0.2,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-11-05"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/ricursiveai/ripple-65b-preview","title":"ricursiveAI/Ripple-65B-Preview","abstract":"ricursiveAI/Ripple-65B-Preview (ricursiveai/ripple-65b-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools; input text; output text.","text":"ricursiveAI/Ripple-65B-Preview (ricursiveai/ripple-65b-preview) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.2 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Release date: 2026-11-04. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/ricursiveai-ripple-65b-preview.html"}
{"id":"sakana/fugu-max","label":"Sakana: Fugu Max","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-09-11","pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/sakana/fugu-max","title":"Sakana: Fugu Max","abstract":"Sakana: Fugu Max (sakana/fugu-max) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Sakana: Fugu Max (sakana/fugu-max) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-11. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/sakana-fugu-max.html"}
{"id":"sakana/fugu-ultra","label":"Sakana: Fugu Ultra","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-06-15","pricing":{"inputPer1M":5,"outputPer1M":30,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/sakana/fugu-ultra","title":"Sakana: Fugu Ultra","abstract":"Sakana: Fugu Ultra (sakana/fugu-ultra) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text.","text":"Sakana: Fugu Ultra (sakana/fugu-ultra) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $30 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-06-15. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/sakana-fugu-ultra.html"}
{"id":"sakana/fugu-ultra-v2","label":"Sakana: Fugu Ultra v2","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-08-28","releaseDate":"2026-09-11","pricing":{"inputPer1M":5,"outputPer1M":30,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/sakana/fugu-ultra-v2","title":"Sakana: Fugu Ultra v2","abstract":"Sakana: Fugu Ultra v2 (sakana/fugu-ultra-v2) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Sakana: Fugu Ultra v2 (sakana/fugu-ultra-v2) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $5 in / $30 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-08-28. Release date: 2026-09-11. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/sakana-fugu-ultra-v2.html"}
{"id":"sakana/sakana-namazu","label":"Sakana: Sakana Namazu","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-08-03","pricing":{"inputPer1M":0.95,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/sakana/sakana-namazu","title":"Sakana: Sakana Namazu","abstract":"Sakana: Sakana Namazu (sakana/sakana-namazu) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Sakana: Sakana Namazu (sakana/sakana-namazu) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.95 in / $4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-08-03. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/sakana-sakana-namazu.html"}
{"id":"sao10k/l3-lunaris-8b","label":"Sao10K: Llama 3 8B Lunaris","kind":"CHAT","contextWindow":8192,"maxOutputTokens":16384,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12-31","releaseDate":"2024-08-13","pricing":{"inputPer1M":0.04,"outputPer1M":0.05,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/sao10k/l3-lunaris-8b","title":"Sao10K: Llama 3 8B Lunaris","abstract":"Sao10K: Llama 3 8B Lunaris (sao10k/l3-lunaris-8b) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text.","text":"Sao10K: Llama 3 8B Lunaris (sao10k/l3-lunaris-8b) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.04 in / $0.05 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2023-12-31. Release date: 2024-08-13. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/sao10k-l3-lunaris-8b.html"}
{"id":"sao10k/l3.1-euryale-70b","label":"Sao10K: Llama 3.1 Euryale 70B v2.2","kind":"CHAT","contextWindow":131072,"maxOutputTokens":16384,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12-31","releaseDate":"2024-08-28","pricing":{"inputPer1M":0.85,"outputPer1M":0.85,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/sao10k/l3.1-euryale-70b","title":"Sao10K: Llama 3.1 Euryale 70B v2.2","abstract":"Sao10K: Llama 3.1 Euryale 70B v2.2 (sao10k/l3.1-euryale-70b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Sao10K: Llama 3.1 Euryale 70B v2.2 (sao10k/l3.1-euryale-70b) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.85 in / $0.85 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2023-12-31. Release date: 2024-08-28. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/sao10k-l3.1-euryale-70b.html"}
{"id":"scaledown/extract","label":"ScaleDown: Extract","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":900000,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-10-13","pricing":{"inputPer1M":0.04,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/scaledown/extract","title":"ScaleDown: Extract","abstract":"ScaleDown: Extract (scaledown/extract) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities vision; input image, pdf, text; output text.","text":"ScaleDown: Extract (scaledown/extract) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 900,000 tokens. Indicative price (US list): $0.04 in per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-10-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/scaledown-extract.html"}
{"id":"scaledown/summarize","label":"ScaleDown: Summarize","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":4000,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-10-13","pricing":{"inputPer1M":0.04,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/scaledown/summarize","title":"ScaleDown: Summarize","abstract":"ScaleDown: Summarize (scaledown/summarize) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities vision; input image, pdf, text; output text.","text":"ScaleDown: Summarize (scaledown/summarize) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 4,000 tokens. Indicative price (US list): $0.04 in per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-10-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/scaledown-summarize.html"}
{"id":"stealth/crouton-alpha","label":"Crouton Alpha","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":943718,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-11-03","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/stealth/crouton-alpha","title":"Crouton Alpha","abstract":"Crouton Alpha (stealth/crouton-alpha) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"Crouton Alpha (stealth/crouton-alpha) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 943,718 tokens. Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-11-03. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/stealth-crouton-alpha.html"}
{"id":"stepfun/step-3.5-flash","label":"StepFun: Step 3.5 Flash","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-01-29","pricing":{"inputPer1M":0.1,"outputPer1M":0.3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":17,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":294.218,"latencyTtftSec":0.744,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/stepfun/step-3.5-flash","title":"StepFun: Step 3.5 Flash","abstract":"StepFun: Step 3.5 Flash (stepfun/step-3.5-flash) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"StepFun: Step 3.5 Flash (stepfun/step-3.5-flash) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.1 in / $0.3 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 17 (cited from Artificial Analysis — verify at the source). Cited speed: 294.218 tokens/s · 0.744s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-01-29. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/stepfun-step-3.5-flash.html"}
{"id":"stepfun/step-3.7-flash","label":"StepFun: Step 3.7 Flash","kind":"CHAT","contextWindow":262144,"maxOutputTokens":256000,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03-01","releaseDate":"2026-05-29","pricing":{"inputPer1M":0.2,"outputPer1M":1.15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":19.5,"scores":{"coding":{"value":39.6}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":188.801,"latencyTtftSec":1.59,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/stepfun/step-3.7-flash","title":"StepFun: Step 3.7 Flash","abstract":"StepFun: Step 3.7 Flash (stepfun/step-3.7-flash) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"StepFun: Step 3.7 Flash (stepfun/step-3.7-flash) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 256,000 tokens. Indicative price (US list): $0.2 in / $1.15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 19.5 · coding 39.6 (cited from Artificial Analysis — verify at the source). Cited speed: 188.801 tokens/s · 1.59s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2026-03-01. Release date: 2026-05-29. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/stepfun-step-3.7-flash.html"}
{"id":"stepfun/step-5-preview","label":"StepFun: Step 5 Preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":64000,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-09-16","pricing":{"inputPer1M":1,"outputPer1M":2.7,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/stepfun/step-5-preview","title":"StepFun: Step 5 Preview","abstract":"StepFun: Step 5 Preview (stepfun/step-5-preview) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"StepFun: Step 5 Preview (stepfun/step-5-preview) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $1 in / $2.7 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-09-16. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/stepfun-step-5-preview.html"}
{"id":"tencent/hunyuan-a13b-instruct","label":"Tencent: Hunyuan A13B Instruct","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"capabilities":["reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-07-08","pricing":{"inputPer1M":0.14,"outputPer1M":0.57,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/tencent/hunyuan-a13b-instruct","title":"Tencent: Hunyuan A13B Instruct","abstract":"Tencent: Hunyuan A13B Instruct (tencent/hunyuan-a13b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities reasoning; input text; output text.","text":"Tencent: Hunyuan A13B Instruct (tencent/hunyuan-a13b-instruct) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.14 in / $0.57 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: reasoning. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-07-08. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/tencent-hunyuan-a13b-instruct.html"}
{"id":"tencent/hy-mt2-1.8b","label":"Tencent: Hy-MT2-1.8B","kind":"CHAT","contextWindow":8192,"maxOutputTokens":4096,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-05-21","pricing":{"inputPer1M":0.044,"outputPer1M":0.177,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/tencent/hy-mt2-1.8b","title":"Tencent: Hy-MT2-1.8B","abstract":"Tencent: Hy-MT2-1.8B (tencent/hy-mt2-1.8b) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text.","text":"Tencent: Hy-MT2-1.8B (tencent/hy-mt2-1.8b) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.044 in / $0.177 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Release date: 2026-05-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/tencent-hy-mt2-1.8b.html"}
{"id":"tencent/hy-mt2-30b-a3b","label":"Tencent: Hy-MT2-30B-A3B","kind":"CHAT","contextWindow":8192,"maxOutputTokens":4096,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-05-21","pricing":{"inputPer1M":0.074,"outputPer1M":0.295,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/tencent/hy-mt2-30b-a3b","title":"Tencent: Hy-MT2-30B-A3B","abstract":"Tencent: Hy-MT2-30B-A3B (tencent/hy-mt2-30b-a3b) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text.","text":"Tencent: Hy-MT2-30B-A3B (tencent/hy-mt2-30b-a3b) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.074 in / $0.295 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Release date: 2026-05-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/tencent-hy-mt2-30b-a3b.html"}
{"id":"tencent/hy-mt2-7b","label":"Tencent: Hy-MT2-7B","kind":"CHAT","contextWindow":8192,"maxOutputTokens":4096,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-05-21","pricing":{"inputPer1M":0.074,"outputPer1M":0.295,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/tencent/hy-mt2-7b","title":"Tencent: Hy-MT2-7B","abstract":"Tencent: Hy-MT2-7B (tencent/hy-mt2-7b) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text.","text":"Tencent: Hy-MT2-7B (tencent/hy-mt2-7b) is a chat model from openrouter with a 8.2K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.074 in / $0.295 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Release date: 2026-05-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/tencent-hy-mt2-7b.html"}
{"id":"tencent/hy3","label":"Tencent: Hy3","kind":"CHAT","contextWindow":262144,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-07-06","pricing":{"inputPer1M":0.132,"outputPer1M":0.528,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":25.3,"scores":{"coding":{"value":58.8}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":79.12,"latencyTtftSec":2.97,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/tencent/hy3","title":"Tencent: Hy3","abstract":"Tencent: Hy3 (tencent/hy3) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Tencent: Hy3 (tencent/hy3) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.132 in / $0.528 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 25.3 · coding 58.8 (cited from Artificial Analysis — verify at the source). Cited speed: 79.12 tokens/s · 2.97s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-07-06. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/tencent-hy3.html"}
{"id":"tencent/hy3-preview","label":"Tencent: Hy3 preview","kind":"CHAT","contextWindow":262144,"maxOutputTokens":235929,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-04-20","pricing":{"inputPer1M":0.063,"outputPer1M":0.21,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":22.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":113.227,"latencyTtftSec":1.685,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/tencent/hy3-preview","title":"Tencent: Hy3 preview","abstract":"Tencent: Hy3 preview (tencent/hy3-preview) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Tencent: Hy3 preview (tencent/hy3-preview) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 235,929 tokens. Indicative price (US list): $0.063 in / $0.21 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 22.7 (cited from Artificial Analysis — verify at the source). Cited speed: 113.227 tokens/s · 1.685s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-04-20. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/tencent-hy3-preview.html"}
{"id":"tencent/hy4","label":"Tencent: Hy4","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-11-04","pricing":{"inputPer1M":0.417,"outputPer1M":1.2505,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-11-05"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/tencent/hy4","title":"Tencent: Hy4","abstract":"Tencent: Hy4 (tencent/hy4) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text.","text":"Tencent: Hy4 (tencent/hy4) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.417 in / $1.2505 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-11-04. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/tencent-hy4.html"}
{"id":"tencent/hy4-preview","label":"Tencent: Hy4 preview","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":64000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-28","pricing":{"inputPer1M":0.834,"outputPer1M":2.501,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/tencent/hy4-preview","title":"Tencent: Hy4 preview","abstract":"Tencent: Hy4 preview (tencent/hy4-preview) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Tencent: Hy4 preview (tencent/hy4-preview) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $0.834 in / $2.501 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-28. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/tencent-hy4-preview.html"}
{"id":"thedrummer/cydonia-24b-v4.1","label":"TheDrummer: Cydonia 24B V4.1","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04-30","releaseDate":"2025-09-27","pricing":{"inputPer1M":0.3,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/thedrummer/cydonia-24b-v4.1","title":"TheDrummer: Cydonia 24B V4.1","abstract":"TheDrummer: Cydonia 24B V4.1 (thedrummer/cydonia-24b-v4.1) is a chat model from openrouter with a 131.1K-token context window; open-weight; input text; output text.","text":"TheDrummer: Cydonia 24B V4.1 (thedrummer/cydonia-24b-v4.1) is a chat model from openrouter with a 131.1K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.3 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2024-04-30. Release date: 2025-09-27. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/thedrummer-cydonia-24b-v4.1.html"}
{"id":"thedrummer/skyfall-36b-v2","label":"TheDrummer: Skyfall 36B V2","kind":"CHAT","contextWindow":32768,"maxOutputTokens":32768,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-06-30","releaseDate":"2025-03-10","pricing":{"inputPer1M":0.55,"outputPer1M":0.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/thedrummer/skyfall-36b-v2","title":"TheDrummer: Skyfall 36B V2","abstract":"TheDrummer: Skyfall 36B V2 (thedrummer/skyfall-36b-v2) is a chat model from openrouter with a 32.8K-token context window; open-weight; input text; output text.","text":"TheDrummer: Skyfall 36B V2 (thedrummer/skyfall-36b-v2) is a chat model from openrouter with a 32.8K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.55 in / $0.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2024-06-30. Release date: 2025-03-10. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/thedrummer-skyfall-36b-v2.html"}
{"id":"thedrummer/unslopnemo-12b","label":"TheDrummer: UnslopNemo 12B","kind":"CHAT","contextWindow":32768,"maxOutputTokens":32768,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04-30","releaseDate":"2024-11-08","pricing":{"inputPer1M":0.4,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/thedrummer/unslopnemo-12b","title":"TheDrummer: UnslopNemo 12B","abstract":"TheDrummer: UnslopNemo 12B (thedrummer/unslopnemo-12b) is a chat model from openrouter with a 32.8K-token context window; open-weight; capabilities tools; input text; output text.","text":"TheDrummer: UnslopNemo 12B (thedrummer/unslopnemo-12b) is a chat model from openrouter with a 32.8K-token context window; open-weight; capabilities tools; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.4 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-04-30. Release date: 2024-11-08. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/thedrummer-unslopnemo-12b.html"}
{"id":"thinkingmachines/inkling","label":"Thinking Machines: Inkling","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":471859,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["audio","image","text"],"output":["text"]},"releaseDate":"2026-07-15","pricing":{"inputPer1M":1,"outputPer1M":4.05,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":12.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":176.39,"latencyTtftSec":2.06,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/thinkingmachines/inkling","title":"Thinking Machines: Inkling","abstract":"Thinking Machines: Inkling (thinkingmachines/inkling) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input audio, image, text; output text.","text":"Thinking Machines: Inkling (thinkingmachines/inkling) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning, vision; input audio, image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 471,859 tokens. Indicative price (US list): $1 in / $4.05 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 12.5 (cited from Artificial Analysis — verify at the source). Cited speed: 176.39 tokens/s · 2.06s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Release date: 2026-07-15. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/thinkingmachines-inkling.html"}
{"id":"thinkingmachines/inkling-small","label":"Thinking Machines: Inkling Small","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":262144,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["audio","image","text"],"output":["text"]},"releaseDate":"2026-07-30","pricing":{"inputPer1M":0.45,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":12.9,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":181.36,"latencyTtftSec":1.99,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/thinkingmachines/inkling-small","title":"Thinking Machines: Inkling Small","abstract":"Thinking Machines: Inkling Small (thinkingmachines/inkling-small) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input audio, image, text; output text.","text":"Thinking Machines: Inkling Small (thinkingmachines/inkling-small) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input audio, image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.45 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 12.9 (cited from Artificial Analysis — verify at the source). Cited speed: 181.36 tokens/s · 1.99s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-07-30. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/thinkingmachines-inkling-small.html"}
{"id":"typesafe/jev-router","label":"TypeSafe: Jev Router","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/typesafe/jev-router","title":"TypeSafe: Jev Router","abstract":"TypeSafe: Jev Router (typesafe/jev-router) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text.","text":"TypeSafe: Jev Router (typesafe/jev-router) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input audio, image, pdf, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/typesafe-jev-router.html"}
{"id":"unbiased/pareto-26.10","label":"Pareto 26.10","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-10-15","pricing":{"inputPer1M":0.8,"outputPer1M":3.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/unbiased/pareto-26.10","title":"Pareto 26.10","abstract":"Pareto 26.10 (unbiased/pareto-26.10) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text.","text":"Pareto 26.10 (unbiased/pareto-26.10) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.8 in / $3.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Release date: 2026-10-15. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/unbiased-pareto-26.10.html"}
{"id":"unbiased/pareto-26.9","label":"Pareto 26.9","kind":"CHAT","contextWindow":262144,"maxOutputTokens":131072,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-10-13","pricing":{"inputPer1M":2.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-10-30"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/unbiased/pareto-26.9","title":"Pareto 26.9","abstract":"Pareto 26.9 (unbiased/pareto-26.9) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text.","text":"Pareto 26.9 (unbiased/pareto-26.9) is a chat model from openrouter with a 262.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $2.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Release date: 2026-10-13. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/unbiased-pareto-26.9.html"}
{"id":"undi95/remm-slerp-l2-13b","label":"ReMM SLERP 13B","kind":"CHAT","contextWindow":6144,"maxOutputTokens":4096,"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-06-30","releaseDate":"2023-07-22","pricing":{"inputPer1M":1.875,"outputPer1M":1.875,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/undi95/remm-slerp-l2-13b","title":"ReMM SLERP 13B","abstract":"ReMM SLERP 13B (undi95/remm-slerp-l2-13b) is a chat model from openrouter with a 6.1K-token context window; open-weight; input text; output text.","text":"ReMM SLERP 13B (undi95/remm-slerp-l2-13b) is a chat model from openrouter with a 6.1K-token context window; open-weight; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 6,144 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $1.875 in / $1.875 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Open-weight. Knowledge cutoff: 2023-06-30. Release date: 2023-07-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/undi95-remm-slerp-l2-13b.html"}
{"id":"upstage/solar-mini4","label":"Upstage: Solar Mini 4","kind":"CHAT","contextWindow":524288,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2026-02","releaseDate":"2026-09-22","pricing":{"inputPer1M":0.05,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"performance":{"throughputTps":103.1,"latencyTtftSec":1.87,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/upstage/solar-mini4","title":"Upstage: Solar Mini 4","abstract":"Upstage: Solar Mini 4 (upstage/solar-mini4) is a chat model from openrouter with a 524.3K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Upstage: Solar Mini 4 (upstage/solar-mini4) is a chat model from openrouter with a 524.3K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 524,288 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.05 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 103.1 tokens/s · 1.87s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02. Release date: 2026-09-22. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/upstage-solar-mini4.html"}
{"id":"upstage/solar-pro4","label":"Upstage: Solar Pro 4","kind":"CHAT","contextWindow":524288,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2026-02","releaseDate":"2026-08-06","pricing":{"inputPer1M":0.09,"outputPer1M":0.36,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"performance":{"throughputTps":86.11,"latencyTtftSec":1.95,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/upstage/solar-pro4","title":"Upstage: Solar Pro 4","abstract":"Upstage: Solar Pro 4 (upstage/solar-pro4) is a chat model from openrouter with a 524.3K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Upstage: Solar Pro 4 (upstage/solar-pro4) is a chat model from openrouter with a 524.3K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 524,288 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.09 in / $0.36 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 86.11 tokens/s · 1.95s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02. Release date: 2026-08-06. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/upstage-solar-pro4.html"}
{"id":"writer/palmyra-x5","label":"Writer: Palmyra X5","kind":"CHAT","contextWindow":1040000,"maxOutputTokens":8192,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-04-28","pricing":{"inputPer1M":0.6,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/writer/palmyra-x5","title":"Writer: Palmyra X5","abstract":"Writer: Palmyra X5 (writer/palmyra-x5) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); input text; output text.","text":"Writer: Palmyra X5 (writer/palmyra-x5) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,040,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.6 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Release date: 2025-04-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/writer-palmyra-x5.html"}
{"id":"x-ai/grok-4.20","label":"xAI: Grok 4.20","kind":"CHAT","contextWindow":2000000,"maxOutputTokens":1800000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-09-01","releaseDate":"2026-03-31","pricing":{"inputPer1M":1.25,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":25.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":112.88,"latencyTtftSec":19.47,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/x-ai/grok-4.20","title":"xAI: Grok 4.20","abstract":"xAI: Grok 4.20 (x-ai/grok-4.20) is a chat model from openrouter with a 2M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"xAI: Grok 4.20 (x-ai/grok-4.20) is a chat model from openrouter with a 2M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 2,000,000 tokens. Max output tokens: 1,800,000 tokens. Indicative price (US list): $1.25 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 25.7 (cited from Artificial Analysis — verify at the source). Cited speed: 112.88 tokens/s · 19.47s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-09-01. Release date: 2026-03-31. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-4.20.html"}
{"id":"x-ai/grok-4.20-multi-agent","label":"xAI: Grok 4.20 Multi-Agent","kind":"CHAT","contextWindow":2000000,"maxOutputTokens":1800000,"capabilities":["reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2025-09-01","releaseDate":"2026-03-31","pricing":{"inputPer1M":1.25,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/x-ai/grok-4.20-multi-agent","title":"xAI: Grok 4.20 Multi-Agent","abstract":"xAI: Grok 4.20 Multi-Agent (x-ai/grok-4.20-multi-agent) is a chat model from openrouter with a 2M-token context window; proprietary (API-only); capabilities reasoning, vision; input image, pdf, text; output text.","text":"xAI: Grok 4.20 Multi-Agent (x-ai/grok-4.20-multi-agent) is a chat model from openrouter with a 2M-token context window; proprietary (API-only); capabilities reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 2,000,000 tokens. Max output tokens: 1,800,000 tokens. Indicative price (US list): $1.25 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: reasoning, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-09-01. Release date: 2026-03-31. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-4.20-multi-agent.html"}
{"id":"x-ai/grok-4.3","label":"xAI: Grok 4.3","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":900000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-04-17","pricing":{"inputPer1M":1.25,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":24.9,"scores":{"coding":{"value":42.2}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/x-ai/grok-4.3","title":"xAI: Grok 4.3","abstract":"xAI: Grok 4.3 (x-ai/grok-4.3) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"xAI: Grok 4.3 (x-ai/grok-4.3) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 900,000 tokens. Indicative price (US list): $1.25 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 24.9 · coding 42.2 (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-04-17. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-4.3.html"}
{"id":"x-ai/grok-4.3:batch","label":"SpaceXAI: Grok 4.3 (batch)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":900000,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/x-ai/grok-4.3:batch","title":"SpaceXAI: Grok 4.3 (batch)","abstract":"SpaceXAI: Grok 4.3 (batch) (x-ai/grok-4.3:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"SpaceXAI: Grok 4.3 (batch) (x-ai/grok-4.3:batch) is a chat model from openrouter with a 1M-token context window; capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 900,000 tokens. Indicative price (US list): $1 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-4.3-batch.html"}
{"id":"x-ai/grok-4.5","label":"xAI: Grok 4.5","kind":"CHAT","contextWindow":500000,"maxOutputTokens":450000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-07-08","pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":38.8,"scores":{"coding":{"value":72.4}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":55.991,"latencyTtftSec":11.135,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/x-ai/grok-4.5","title":"xAI: Grok 4.5","abstract":"xAI: Grok 4.5 (x-ai/grok-4.5) is a chat model from openrouter with a 500K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"xAI: Grok 4.5 (x-ai/grok-4.5) is a chat model from openrouter with a 500K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 500,000 tokens. Max output tokens: 450,000 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 38.8 · coding 72.4 (cited from Artificial Analysis — verify at the source). Cited speed: 55.991 tokens/s · 11.135s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-07-08. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-4.5.html"}
{"id":"x-ai/grok-4.6","label":"SpaceXAI: Grok 4.6","kind":"CHAT","contextWindow":500000,"maxOutputTokens":450000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-01","releaseDate":"2026-08-12","pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/x-ai/grok-4.6","title":"SpaceXAI: Grok 4.6","abstract":"SpaceXAI: Grok 4.6 (x-ai/grok-4.6) is a chat model from openrouter with a 500K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"SpaceXAI: Grok 4.6 (x-ai/grok-4.6) is a chat model from openrouter with a 500K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 500,000 tokens. Max output tokens: 450,000 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-01. Release date: 2026-08-12. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-4.6.html"}
{"id":"x-ai/grok-4.6:batch","label":"SpaceXAI: Grok 4.6 (batch)","kind":"CHAT","contextWindow":500000,"maxOutputTokens":450000,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1.6,"outputPer1M":4.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-11-05"},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/x-ai/grok-4.6:batch","title":"SpaceXAI: Grok 4.6 (batch)","abstract":"SpaceXAI: Grok 4.6 (batch) (x-ai/grok-4.6:batch) is a chat model from openrouter with a 500K-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"SpaceXAI: Grok 4.6 (batch) (x-ai/grok-4.6:batch) is a chat model from openrouter with a 500K-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 500,000 tokens. Max output tokens: 450,000 tokens. Indicative price (US list): $1.6 in / $4.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-4.6-batch.html"}
{"id":"x-ai/grok-4.7","label":"SpaceXAI: Grok 4.7","kind":"CHAT","contextWindow":500000,"maxOutputTokens":450000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-05","releaseDate":"2026-09-21","pricing":{"inputPer1M":1.6,"outputPer1M":4.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":34.3,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"performance":{"throughputTps":85.579,"latencyTtftSec":21.164,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-10-30"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/x-ai/grok-4.7","title":"SpaceXAI: Grok 4.7","abstract":"SpaceXAI: Grok 4.7 (x-ai/grok-4.7) is a chat model from openrouter with a 500K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"SpaceXAI: Grok 4.7 (x-ai/grok-4.7) is a chat model from openrouter with a 500K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 500,000 tokens. Max output tokens: 450,000 tokens. Indicative price (US list): $1.6 in / $4.8 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 34.3 (cited from Artificial Analysis — verify at the source). Cited speed: 85.579 tokens/s · 21.164s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-05. Release date: 2026-09-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-4.7.html"}
{"id":"x-ai/grok-4.7:batch","label":"SpaceXAI: Grok 4.7 (batch)","kind":"CHAT","contextWindow":500000,"maxOutputTokens":450000,"capabilities":["tools","reasoning","vision"],"modalities":{"input":["image","pdf","text"],"output":["text"]},"pricing":{"inputPer1M":1.6,"outputPer1M":4.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-11-05"},"sources":["openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/x-ai/grok-4.7:batch","title":"SpaceXAI: Grok 4.7 (batch)","abstract":"SpaceXAI: Grok 4.7 (batch) (x-ai/grok-4.7:batch) is a chat model from openrouter with a 500K-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"SpaceXAI: Grok 4.7 (batch) (x-ai/grok-4.7:batch) is a chat model from openrouter with a 500K-token context window; capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 500,000 tokens. Max output tokens: 450,000 tokens. Indicative price (US list): $1.6 in / $4.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Sources: openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-4.7-batch.html"}
{"id":"x-ai/grok-build-0.1","label":"xAI: Grok Build 0.1","kind":"CHAT","contextWindow":256000,"maxOutputTokens":230400,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-04-16","pricing":{"inputPer1M":1,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/x-ai/grok-build-0.1","title":"xAI: Grok Build 0.1","abstract":"xAI: Grok Build 0.1 (x-ai/grok-build-0.1) is a chat model from openrouter with a 256K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text.","text":"xAI: Grok Build 0.1 (x-ai/grok-build-0.1) is a chat model from openrouter with a 256K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, pdf, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 230,400 tokens. Indicative price (US list): $1 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-04-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/x-ai-grok-build-0.1.html"}
{"id":"xiaomi/mimo-v2.5","label":"Xiaomi: MiMo-V2.5","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["audio","image","text","video"],"output":["text"]},"knowledgeCutoff":"2024-12","releaseDate":"2026-04-22","pricing":{"inputPer1M":0.4,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/xiaomi/mimo-v2.5","title":"Xiaomi: MiMo-V2.5","abstract":"Xiaomi: MiMo-V2.5 (xiaomi/mimo-v2.5) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input audio, image, text, video; output text.","text":"Xiaomi: MiMo-V2.5 (xiaomi/mimo-v2.5) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input audio, image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.4 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-12. Release date: 2026-04-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/xiaomi-mimo-v2.5.html"}
{"id":"xiaomi/mimo-v2.5-pro","label":"Xiaomi: MiMo-V2.5-Pro","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":16384,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-12","releaseDate":"2026-04-22","pricing":{"inputPer1M":1,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":26,"scores":{"coding":{"value":60.2}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":51.76,"latencyTtftSec":1.1,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/xiaomi/mimo-v2.5-pro","title":"Xiaomi: MiMo-V2.5-Pro","abstract":"Xiaomi: MiMo-V2.5-Pro (xiaomi/mimo-v2.5-pro) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Xiaomi: MiMo-V2.5-Pro (xiaomi/mimo-v2.5-pro) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $1 in / $3 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 26 · coding 60.2 (cited from Artificial Analysis — verify at the source). Cited speed: 51.76 tokens/s · 1.1s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-12. Release date: 2026-04-22. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/xiaomi-mimo-v2.5-pro.html"}
{"id":"xiaomi/mimo-v2.6-flash","label":"Xiaomi: MiMo-V2.6-Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["audio","image","text","video"],"output":["text"]},"releaseDate":"2026-09-22","pricing":{"inputPer1M":0.14,"outputPer1M":0.28,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":26.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":32.42,"latencyTtftSec":3.22,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/xiaomi/mimo-v2.6-flash","title":"Xiaomi: MiMo-V2.6-Flash","abstract":"Xiaomi: MiMo-V2.6-Flash (xiaomi/mimo-v2.6-flash) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input audio, image, text, video; output text.","text":"Xiaomi: MiMo-V2.6-Flash (xiaomi/mimo-v2.6-flash) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input audio, image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.14 in / $0.28 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 26.7 (cited from Artificial Analysis — verify at the source). Cited speed: 32.42 tokens/s · 3.22s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-09-22. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/xiaomi-mimo-v2.6-flash.html"}
{"id":"xiaomi/mimo-v2.6-pro","label":"Xiaomi: MiMo-V2.6-Pro","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["audio","image","text","video"],"output":["text"]},"releaseDate":"2026-09-22","pricing":{"inputPer1M":0.435,"outputPer1M":0.87,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"benchmarks":{"intelligenceIndex":29.9,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":41.08,"latencyTtftSec":3.31,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/xiaomi/mimo-v2.6-pro","title":"Xiaomi: MiMo-V2.6-Pro","abstract":"Xiaomi: MiMo-V2.6-Pro (xiaomi/mimo-v2.6-pro) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input audio, image, text, video; output text.","text":"Xiaomi: MiMo-V2.6-Pro (xiaomi/mimo-v2.6-pro) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input audio, image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.435 in / $0.87 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 29.9 (cited from Artificial Analysis — verify at the source). Cited speed: 41.08 tokens/s · 3.31s to first token (cited from Artificial Analysis — verify at the source). Input modalities: audio, image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-09-22. Sources: artificial-analysis, committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/xiaomi-mimo-v2.6-pro.html"}
{"id":"xiaomi/mimo-v2.6-pro-ultraspeed","label":"Xiaomi: MiMo-V2.6-Pro-UltraSpeed","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["audio","image","text","video"],"output":["text"]},"releaseDate":"2026-09-21","pricing":{"inputPer1M":4.35,"outputPer1M":8.7,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/xiaomi/mimo-v2.6-pro-ultraspeed","title":"Xiaomi: MiMo-V2.6-Pro-UltraSpeed","abstract":"Xiaomi: MiMo-V2.6-Pro-UltraSpeed (xiaomi/mimo-v2.6-pro-ultraspeed) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input audio, image, text, video; output text.","text":"Xiaomi: MiMo-V2.6-Pro-UltraSpeed (xiaomi/mimo-v2.6-pro-ultraspeed) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input audio, image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $4.35 in / $8.7 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-09-21. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/xiaomi-mimo-v2.6-pro-ultraspeed.html"}
{"id":"xingchen-agi/xing4.0-29b-a4b:free","label":"XingChen: Xing4.0 29B A4B (free)","kind":"CHAT","contextWindow":262144,"maxOutputTokens":235929,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-10-16","sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/xingchen-agi/xing4.0-29b-a4b:free","title":"XingChen: Xing4.0 29B A4B (free)","abstract":"XingChen: Xing4.0 29B A4B (free) (xingchen-agi/xing4.0-29b-a4b:free) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"XingChen: Xing4.0 29B A4B (free) (xingchen-agi/xing4.0-29b-a4b:free) is a chat model from openrouter with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 235,929 tokens. Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-10-16. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/xingchen-agi-xing4.0-29b-a4b-free.html"}
{"id":"z-ai/glm-4.5","label":"Z.ai: GLM 4.5","kind":"CHAT","contextWindow":131072,"maxOutputTokens":98304,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-12-31","releaseDate":"2025-07-28","pricing":{"inputPer1M":0.6,"outputPer1M":2.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-4.5","title":"Z.ai: GLM 4.5","abstract":"Z.ai: GLM 4.5 (z-ai/glm-4.5) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM 4.5 (z-ai/glm-4.5) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 98,304 tokens. Indicative price (US list): $0.6 in / $2.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-12-31. Release date: 2025-07-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-4.5.html"}
{"id":"z-ai/glm-4.5-air","label":"Z.ai: GLM 4.5 Air","kind":"CHAT","contextWindow":131072,"maxOutputTokens":98304,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-12-31","releaseDate":"2025-07-28","pricing":{"inputPer1M":0.13,"outputPer1M":0.85,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-4.5-air","title":"Z.ai: GLM 4.5 Air","abstract":"Z.ai: GLM 4.5 Air (z-ai/glm-4.5-air) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM 4.5 Air (z-ai/glm-4.5-air) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 98,304 tokens. Indicative price (US list): $0.13 in / $0.85 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-12-31. Release date: 2025-07-28. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-4.5-air.html"}
{"id":"z-ai/glm-4.5v","label":"Z.ai: GLM 4.5V","kind":"CHAT","contextWindow":65536,"maxOutputTokens":16384,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-12-31","releaseDate":"2025-08-11","pricing":{"inputPer1M":0.6,"outputPer1M":1.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":6.7,"scores":{"math":{"value":15.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-4.5v","title":"Z.ai: GLM 4.5V","abstract":"Z.ai: GLM 4.5V (z-ai/glm-4.5v) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text.","text":"Z.ai: GLM 4.5V (z-ai/glm-4.5v) is a chat model from openrouter with a 65.5K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.6 in / $1.8 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.7 · math 15.3 (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2024-12-31. Release date: 2025-08-11. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-4.5v.html"}
{"id":"z-ai/glm-4.6","label":"Z.ai: GLM 4.6","kind":"CHAT","contextWindow":202800,"maxOutputTokens":131000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-03-31","releaseDate":"2025-09-30","pricing":{"inputPer1M":0.4,"outputPer1M":1.75,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-4.6","title":"Z.ai: GLM 4.6","abstract":"Z.ai: GLM 4.6 (z-ai/glm-4.6) is a chat model from openrouter with a 202.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM 4.6 (z-ai/glm-4.6) is a chat model from openrouter with a 202.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 202,800 tokens. Max output tokens: 131,000 tokens. Indicative price (US list): $0.4 in / $1.75 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-03-31. Release date: 2025-09-30. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-4.6.html"}
{"id":"z-ai/glm-4.6v","label":"Z.ai: GLM 4.6V","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","reasoning","vision"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-12-08","pricing":{"inputPer1M":0.3,"outputPer1M":0.9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":8.4,"scores":{"math":{"value":26.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-4.6v","title":"Z.ai: GLM 4.6V","abstract":"Z.ai: GLM 4.6V (z-ai/glm-4.6v) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Z.ai: GLM 4.6V (z-ai/glm-4.6v) is a chat model from openrouter with a 131.1K-token context window; open-weight; capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.3 in / $0.9 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 8.4 · math 26.3 (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2025-12-08. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-4.6v.html"}
{"id":"z-ai/glm-4.7","label":"Z.ai: GLM 4.7","kind":"CHAT","contextWindow":202752,"maxOutputTokens":64000,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-12-22","pricing":{"inputPer1M":0.4,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":22.2,"scores":{"coding":{"value":45.3},"math":{"value":95}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-4.7","title":"Z.ai: GLM 4.7","abstract":"Z.ai: GLM 4.7 (z-ai/glm-4.7) is a chat model from openrouter with a 202.8K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Z.ai: GLM 4.7 (z-ai/glm-4.7) is a chat model from openrouter with a 202.8K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 202,752 tokens. Max output tokens: 64,000 tokens. Indicative price (US list): $0.4 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 22.2 · coding 45.3 · math 95 (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2025-12-22. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-4.7.html"}
{"id":"z-ai/glm-4.7-flash","label":"Z.ai: GLM 4.7 Flash","kind":"CHAT","contextWindow":200000,"maxOutputTokens":32000,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2026-01-19","pricing":{"inputPer1M":0.07,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-4.7-flash","title":"Z.ai: GLM 4.7 Flash","abstract":"Z.ai: GLM 4.7 Flash (z-ai/glm-4.7-flash) is a chat model from openrouter with a 200K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Z.ai: GLM 4.7 Flash (z-ai/glm-4.7-flash) is a chat model from openrouter with a 200K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: openrouter. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $0.07 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2026-01-19. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-4.7-flash.html"}
{"id":"z-ai/glm-5","label":"Z.ai: GLM 5","kind":"CHAT","contextWindow":202752,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-02-12","pricing":{"inputPer1M":0.8,"outputPer1M":2.56,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":27.9,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5","title":"Z.ai: GLM 5","abstract":"Z.ai: GLM 5 (z-ai/glm-5) is a chat model from openrouter with a 202.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM 5 (z-ai/glm-5) is a chat model from openrouter with a 202.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 202,752 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.8 in / $2.56 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 27.9 (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-02-12. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5.html"}
{"id":"z-ai/glm-5-turbo","label":"Z.ai: GLM 5 Turbo","kind":"CHAT","contextWindow":202752,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-03-16","pricing":{"inputPer1M":1.2,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":26.6,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5-turbo","title":"Z.ai: GLM 5 Turbo","abstract":"Z.ai: GLM 5 Turbo (z-ai/glm-5-turbo) is a chat model from openrouter with a 202.8K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM 5 Turbo (z-ai/glm-5-turbo) is a chat model from openrouter with a 202.8K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 202,752 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.2 in / $4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 26.6 (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-03-16. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5-turbo.html"}
{"id":"z-ai/glm-5.1","label":"Z.ai: GLM 5.1","kind":"CHAT","contextWindow":202752,"maxOutputTokens":65535,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-04-07","pricing":{"inputPer1M":1.05,"outputPer1M":3.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5.1","title":"Z.ai: GLM 5.1","abstract":"Z.ai: GLM 5.1 (z-ai/glm-5.1) is a chat model from openrouter with a 202.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM 5.1 (z-ai/glm-5.1) is a chat model from openrouter with a 202.8K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 202,752 tokens. Max output tokens: 65,535 tokens. Indicative price (US list): $1.05 in / $3.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-04-07. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5.1.html"}
{"id":"z-ai/glm-5.2","label":"Z.ai: GLM 5.2","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-06-13","pricing":{"inputPer1M":0.791,"outputPer1M":2.486,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5.2","title":"Z.ai: GLM 5.2","abstract":"Z.ai: GLM 5.2 (z-ai/glm-5.2) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM 5.2 (z-ai/glm-5.2) is a chat model from openrouter with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.791 in / $2.486 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-06-13. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5.2.html"}
{"id":"z-ai/glm-5.3","label":"Z.ai: GLM 5.3","kind":"CHAT","contextWindow":1310720,"maxOutputTokens":943717,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-14","pricing":{"inputPer1M":1.4,"outputPer1M":4.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5.3","title":"Z.ai: GLM 5.3","abstract":"Z.ai: GLM 5.3 (z-ai/glm-5.3) is a chat model from openrouter with a 1.3M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM 5.3 (z-ai/glm-5.3) is a chat model from openrouter with a 1.3M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,310,720 tokens. Max output tokens: 943,717 tokens. Indicative price (US list): $1.4 in / $4.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-14. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5.3.html"}
{"id":"z-ai/glm-5.3-flash","label":"Z.ai: GLM 5.3 Flash","kind":"CHAT","contextWindow":1310720,"maxOutputTokens":943718,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-08-26","pricing":{"inputPer1M":0.045,"outputPer1M":0.14,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5.3-flash","title":"Z.ai: GLM 5.3 Flash","abstract":"Z.ai: GLM 5.3 Flash (z-ai/glm-5.3-flash) is a chat model from openrouter with a 1.3M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Z.ai: GLM 5.3 Flash (z-ai/glm-5.3-flash) is a chat model from openrouter with a 1.3M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,310,720 tokens. Max output tokens: 943,718 tokens. Indicative price (US list): $0.045 in / $0.14 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-08-26. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5.3-flash.html"}
{"id":"z-ai/glm-5.3-flash:batch","label":"Z.ai: GLM 5.3 Flash (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"modalities":{"input":["image","text","video"],"output":["text"]},"pricing":{"inputPer1M":0.06,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5.3-flash:batch","title":"Z.ai: GLM 5.3 Flash (batch)","abstract":"Z.ai: GLM 5.3 Flash (batch) (z-ai/glm-5.3-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Z.ai: GLM 5.3 Flash (batch) (z-ai/glm-5.3-flash:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.06 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5.3-flash-batch.html"}
{"id":"z-ai/glm-5.3-flashx","label":"Z.ai: GLM 5.3 FlashX","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-09-18","pricing":{"inputPer1M":0.37,"outputPer1M":1.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5.3-flashx","title":"Z.ai: GLM 5.3 FlashX","abstract":"Z.ai: GLM 5.3 FlashX (z-ai/glm-5.3-flashx) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Z.ai: GLM 5.3 FlashX (z-ai/glm-5.3-flashx) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.37 in / $1.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-18. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5.3-flashx.html"}
{"id":"z-ai/glm-5.3-flashx-legal","label":"Z.ai: GLM 5.3 FlashX Legal","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-11-02","pricing":{"inputPer1M":0.37,"outputPer1M":1.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-11-05"},"sources":["models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5.3-flashx-legal","title":"Z.ai: GLM 5.3 FlashX Legal","abstract":"Z.ai: GLM 5.3 FlashX Legal (z-ai/glm-5.3-flashx-legal) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Z.ai: GLM 5.3 FlashX Legal (z-ai/glm-5.3-flashx-legal) is a chat model from openrouter with a 1.0M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.37 in / $1.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-11-02. Sources: models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5.3-flashx-legal.html"}
{"id":"z-ai/glm-5.3-prime","label":"Z.ai: GLM 5.3 Prime","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-09-23","pricing":{"inputPer1M":2.8,"outputPer1M":8.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5.3-prime","title":"Z.ai: GLM 5.3 Prime","abstract":"Z.ai: GLM 5.3 Prime (z-ai/glm-5.3-prime) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM 5.3 Prime (z-ai/glm-5.3-prime) is a chat model from openrouter with a 1M-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $2.8 in / $8.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-23. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5.3-prime.html"}
{"id":"z-ai/glm-5.3:batch","label":"Z.ai: GLM 5.3 (batch)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"modalities":{"input":["text"],"output":["text"]},"pricing":{"inputPer1M":0.45,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-09-26"},"sources":["committed","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5.3:batch","title":"Z.ai: GLM 5.3 (batch)","abstract":"Z.ai: GLM 5.3 (batch) (z-ai/glm-5.3:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, reasoning; input text; output text.","text":"Z.ai: GLM 5.3 (batch) (z-ai/glm-5.3:batch) is a chat model from openrouter with a 1.0M-token context window; capabilities tools, reasoning; input text; output text. Vendor: openrouter. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.45 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Sources: committed, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5.3-batch.html"}
{"id":"z-ai/glm-5v-turbo","label":"Z.ai: GLM 5V Turbo","kind":"CHAT","contextWindow":202752,"maxOutputTokens":131072,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-04-01","pricing":{"inputPer1M":1.2,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"openrouter","lastVerified":"2026-07-24"},"benchmarks":{"intelligenceIndex":23.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","models-dev","openrouter-api"],"lastVerified":"2026-11-05","vendor":"openrouter","ref":"openrouter/z-ai/glm-5v-turbo","title":"Z.ai: GLM 5V Turbo","abstract":"Z.ai: GLM 5V Turbo (z-ai/glm-5v-turbo) is a chat model from openrouter with a 202.8K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text.","text":"Z.ai: GLM 5V Turbo (z-ai/glm-5v-turbo) is a chat model from openrouter with a 202.8K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text, video; output text. Vendor: openrouter. Kind: CHAT. Context window: 202,752 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.2 in / $4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 23.5 (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Release date: 2026-04-01. Sources: committed, models-dev, openrouter-api. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/openrouter/z-ai-glm-5v-turbo.html"}
{"id":"sonar","label":"Sonar","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-09-01","pricing":{"inputPer1M":1,"outputPer1M":1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"perplexity","ref":"perplexity/sonar","title":"Sonar","abstract":"Sonar (sonar) is a chat model from perplexity with a 128K-token context window; proprietary (API-only); input text; output text.","text":"Sonar (sonar) is a chat model from perplexity with a 128K-token context window; proprietary (API-only); input text; output text. Vendor: perplexity. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $1 in / $1 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Knowledge cutoff: 2025-09-01. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/perplexity/sonar.html"}
{"id":"sonar-deep-research","label":"Perplexity Sonar Deep Research","kind":"CHAT","contextWindow":128000,"maxOutputTokens":32768,"capabilities":["reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-02-01","pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"perplexity","ref":"perplexity/sonar-deep-research","title":"Perplexity Sonar Deep Research","abstract":"Perplexity Sonar Deep Research (sonar-deep-research) is a chat model from perplexity with a 128K-token context window; proprietary (API-only); capabilities reasoning; input text; output text.","text":"Perplexity Sonar Deep Research (sonar-deep-research) is a chat model from perplexity with a 128K-token context window; proprietary (API-only); capabilities reasoning; input text; output text. Vendor: perplexity. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-02-01. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/perplexity/sonar-deep-research.html"}
{"id":"sonar-pro","label":"Sonar Pro","kind":"CHAT","contextWindow":200000,"maxOutputTokens":8192,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-09-01","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"perplexity","ref":"perplexity/sonar-pro","title":"Sonar Pro","abstract":"Sonar Pro (sonar-pro) is a chat model from perplexity with a 200K-token context window; proprietary (API-only); capabilities vision; input image, text; output text.","text":"Sonar Pro (sonar-pro) is a chat model from perplexity with a 200K-token context window; proprietary (API-only); capabilities vision; input image, text; output text. Vendor: perplexity. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: vision. Weights: Proprietary (API-only). Knowledge cutoff: 2025-09-01. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/perplexity/sonar-pro.html"}
{"id":"sonar-reasoning-pro","label":"Sonar Reasoning Pro","kind":"CHAT","contextWindow":128000,"maxOutputTokens":4096,"capabilities":["vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-09-01","pricing":{"inputPer1M":2,"outputPer1M":8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"perplexity","ref":"perplexity/sonar-reasoning-pro","title":"Sonar Reasoning Pro","abstract":"Sonar Reasoning Pro (sonar-reasoning-pro) is a chat model from perplexity with a 128K-token context window; proprietary (API-only); capabilities vision, reasoning; input image, text; output text.","text":"Sonar Reasoning Pro (sonar-reasoning-pro) is a chat model from perplexity with a 128K-token context window; proprietary (API-only); capabilities vision, reasoning; input image, text; output text. Vendor: perplexity. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $2 in / $8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-09-01. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/perplexity/sonar-reasoning-pro.html"}
{"id":"deepseek-v4-flash-0731","label":"DeepSeek V4 Flash 0731","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":393216,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-05","releaseDate":"2026-07-31","pricing":{"inputPer1M":0.2,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/deepseek-v4-flash-0731","title":"DeepSeek V4 Flash 0731","abstract":"DeepSeek V4 Flash 0731 (deepseek-v4-flash-0731) is a chat model from qwen with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek V4 Flash 0731 (deepseek-v4-flash-0731) is a chat model from qwen with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 393,216 tokens. Indicative price (US list): $0.2 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-05. Release date: 2026-07-31. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/deepseek-v4-flash-0731.html"}
{"id":"glm-5.2","label":"GLM-5.2","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-06-13","pricing":{"inputPer1M":1.4,"outputPer1M":4.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/glm-5.2","title":"GLM-5.2","abstract":"GLM-5.2 (glm-5.2) is a chat model from qwen with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-5.2 (glm-5.2) is a chat model from qwen with a 1.0M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.4 in / $4.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-06-13. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/glm-5.2.html"}
{"id":"kimi-k3","label":"Kimi K3","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":1048576,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"releaseDate":"2026-07-16","pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/kimi-k3","title":"Kimi K3","abstract":"Kimi K3 (kimi-k3) is a chat model from qwen with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Kimi K3 (kimi-k3) is a chat model from qwen with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: qwen. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 1,048,576 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-07-16. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/kimi-k3.html"}
{"id":"qvq-max","label":"QVQ Max","kind":"CHAT","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-03-25","pricing":{"inputPer1M":1.2,"outputPer1M":4.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qvq-max","title":"QVQ Max","abstract":"QVQ Max (qvq-max) is a chat model from qwen with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text.","text":"QVQ Max (qvq-max) is a chat model from qwen with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text. Vendor: qwen. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $1.2 in / $4.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-03-25. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qvq-max.html"}
{"id":"qwen-coder","label":"Qwen-Coder","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":16384,"capabilities":["tools","reasoning"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.3,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","overrides"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-coder","title":"Qwen-Coder","abstract":"Qwen-Coder (qwen-coder) is a chat model from qwen with a 1M-token context window; capabilities tools, reasoning; input text.","text":"Qwen-Coder (qwen-coder) is a chat model from qwen with a 1M-token context window; capabilities tools, reasoning; input text. Vendor: qwen. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.3 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools, reasoning. Sources: litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-coder.html"}
{"id":"qwen-flash","label":"Qwen-Flash","kind":"CHAT","contextWindow":997952,"maxOutputTokens":32768,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-07-28","pricing":{"inputPer1M":0.05,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-flash","title":"Qwen-Flash","abstract":"Qwen-Flash (qwen-flash) is a chat model from qwen with a 998.0K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Qwen-Flash (qwen-flash) is a chat model from qwen with a 998.0K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 997,952 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.05 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-07-28. Sources: litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-flash.html"}
{"id":"qwen-max","label":"Qwen-Max","kind":"CHAT","contextWindow":30720,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2024-04-03","pricing":{"inputPer1M":1.6,"outputPer1M":6.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-max","title":"Qwen-Max","abstract":"Qwen-Max (qwen-max) is a chat model from qwen with a 30.7K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Qwen-Max (qwen-max) is a chat model from qwen with a 30.7K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 30,720 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $1.6 in / $6.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2024-04-03. Sources: litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-max.html"}
{"id":"qwen-mt-plus","label":"Qwen-MT Plus","kind":"CHAT","contextWindow":16384,"maxOutputTokens":8192,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04","pricing":{"inputPer1M":2.46,"outputPer1M":7.37,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-mt-plus","title":"Qwen-MT Plus","abstract":"Qwen-MT Plus (qwen-mt-plus) is a chat model from qwen with a 16.4K-token context window; proprietary (API-only); input text; output text.","text":"Qwen-MT Plus (qwen-mt-plus) is a chat model from qwen with a 16.4K-token context window; proprietary (API-only); input text; output text. Vendor: qwen. Kind: CHAT. Context window: 16,384 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $2.46 in / $7.37 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-mt-plus.html"}
{"id":"qwen-mt-turbo","label":"Qwen-MT Turbo","kind":"CHAT","contextWindow":16384,"maxOutputTokens":8192,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04","pricing":{"inputPer1M":0.16,"outputPer1M":0.49,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-mt-turbo","title":"Qwen-MT Turbo","abstract":"Qwen-MT Turbo (qwen-mt-turbo) is a chat model from qwen with a 16.4K-token context window; proprietary (API-only); input text; output text.","text":"Qwen-MT Turbo (qwen-mt-turbo) is a chat model from qwen with a 16.4K-token context window; proprietary (API-only); input text; output text. Vendor: qwen. Kind: CHAT. Context window: 16,384 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.16 in / $0.49 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-mt-turbo.html"}
{"id":"qwen-omni-turbo","label":"Qwen-Omni Turbo","kind":"CHAT","contextWindow":32768,"maxOutputTokens":2048,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["audio","image","text","video"],"output":["audio","text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-01-19","pricing":{"inputPer1M":0.07,"outputPer1M":0.27,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-omni-turbo","title":"Qwen-Omni Turbo","abstract":"Qwen-Omni Turbo (qwen-omni-turbo) is a chat model from qwen with a 32.8K-token context window; proprietary (API-only); capabilities tools, vision; input audio, image, text, video; output audio, text.","text":"Qwen-Omni Turbo (qwen-omni-turbo) is a chat model from qwen with a 32.8K-token context window; proprietary (API-only); capabilities tools, vision; input audio, image, text, video; output audio, text. Vendor: qwen. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 2,048 tokens. Indicative price (US list): $0.07 in / $0.27 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: audio, text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-01-19. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-omni-turbo.html"}
{"id":"qwen-omni-turbo-realtime","label":"Qwen-Omni Turbo Realtime","kind":"CHAT","contextWindow":32768,"maxOutputTokens":2048,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["audio","image","text"],"output":["audio","text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-05-08","pricing":{"inputPer1M":0.27,"outputPer1M":1.07,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-omni-turbo-realtime","title":"Qwen-Omni Turbo Realtime","abstract":"Qwen-Omni Turbo Realtime (qwen-omni-turbo-realtime) is a chat model from qwen with a 32.8K-token context window; proprietary (API-only); capabilities tools, vision; input audio, image, text; output audio, text.","text":"Qwen-Omni Turbo Realtime (qwen-omni-turbo-realtime) is a chat model from qwen with a 32.8K-token context window; proprietary (API-only); capabilities tools, vision; input audio, image, text; output audio, text. Vendor: qwen. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 2,048 tokens. Indicative price (US list): $0.27 in / $1.07 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text. Output modalities: audio, text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-05-08. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-omni-turbo-realtime.html"}
{"id":"qwen-plus","label":"Qwen-Plus","kind":"CHAT","contextWindow":129024,"maxOutputTokens":16384,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04","pricing":{"inputPer1M":0.4,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-plus","title":"Qwen-Plus","abstract":"Qwen-Plus (qwen-plus) is a chat model from qwen with a 129.0K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Qwen-Plus (qwen-plus) is a chat model from qwen with a 129.0K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 129,024 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.4 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Sources: litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-plus.html"}
{"id":"qwen-plus-character-ja","label":"Qwen Plus Character (Japanese)","kind":"CHAT","contextWindow":8192,"maxOutputTokens":512,"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04","pricing":{"inputPer1M":0.5,"outputPer1M":1.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-plus-character-ja","title":"Qwen Plus Character (Japanese)","abstract":"Qwen Plus Character (Japanese) (qwen-plus-character-ja) is a chat model from qwen with a 8.2K-token context window; proprietary (API-only); input text; output text.","text":"Qwen Plus Character (Japanese) (qwen-plus-character-ja) is a chat model from qwen with a 8.2K-token context window; proprietary (API-only); input text; output text. Vendor: qwen. Kind: CHAT. Context window: 8,192 tokens. Max output tokens: 512 tokens. Indicative price (US list): $0.5 in / $1.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-plus-character-ja.html"}
{"id":"qwen-turbo","label":"Qwen-Turbo","kind":"CHAT","contextWindow":129024,"maxOutputTokens":16384,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2024-11-01","pricing":{"inputPer1M":0.05,"outputPer1M":0.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":6.4,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":107.358,"latencyTtftSec":1.04,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-turbo","title":"Qwen-Turbo","abstract":"Qwen-Turbo (qwen-turbo) is a chat model from qwen with a 129.0K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Qwen-Turbo (qwen-turbo) is a chat model from qwen with a 129.0K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 129,024 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.05 in / $0.2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 6.4 (cited from Artificial Analysis — verify at the source). Cited speed: 107.358 tokens/s · 1.04s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2024-11-01. Sources: committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-turbo.html"}
{"id":"qwen-vl-max","label":"Qwen-VL Max","kind":"CHAT","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2024-04-08","pricing":{"inputPer1M":0.8,"outputPer1M":3.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-vl-max","title":"Qwen-VL Max","abstract":"Qwen-VL Max (qwen-vl-max) is a chat model from qwen with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text.","text":"Qwen-VL Max (qwen-vl-max) is a chat model from qwen with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text. Vendor: qwen. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.8 in / $3.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2024-04-08. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-vl-max.html"}
{"id":"qwen-vl-ocr","label":"Qwen-VL OCR","kind":"CHAT","contextWindow":34096,"maxOutputTokens":4096,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2024-10-28","pricing":{"inputPer1M":0.07,"outputPer1M":0.16,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-vl-ocr","title":"Qwen-VL OCR","abstract":"Qwen-VL OCR (qwen-vl-ocr) is a chat model from qwen with a 34.1K-token context window; proprietary (API-only); capabilities vision; input image, text; output text.","text":"Qwen-VL OCR (qwen-vl-ocr) is a chat model from qwen with a 34.1K-token context window; proprietary (API-only); capabilities vision; input image, text; output text. Vendor: qwen. Kind: CHAT. Context window: 34,096 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $0.07 in / $0.16 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2024-10-28. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-vl-ocr.html"}
{"id":"qwen-vl-plus","label":"Qwen-VL Plus","kind":"CHAT","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2024-04","pricing":{"inputPer1M":0.21,"outputPer1M":0.63,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-vl-plus","title":"Qwen-VL Plus","abstract":"Qwen-VL Plus (qwen-vl-plus) is a chat model from qwen with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text.","text":"Qwen-VL Plus (qwen-vl-plus) is a chat model from qwen with a 131.1K-token context window; proprietary (API-only); capabilities tools, vision; input image, text; output text. Vendor: qwen. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.21 in / $0.63 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-vl-plus.html"}
{"id":"qwen2-5-omni-7b","label":"Qwen2.5-Omni 7B","kind":"CHAT","contextWindow":32768,"maxOutputTokens":2048,"capabilities":["tools","vision"],"openWeights":true,"modalities":{"input":["audio","image","text","video"],"output":["audio","text"]},"knowledgeCutoff":"2024-04","pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen2-5-omni-7b","title":"Qwen2.5-Omni 7B","abstract":"Qwen2.5-Omni 7B (qwen2-5-omni-7b) is a chat model from qwen with a 32.8K-token context window; open-weight; capabilities tools, vision; input audio, image, text, video; output audio, text.","text":"Qwen2.5-Omni 7B (qwen2-5-omni-7b) is a chat model from qwen with a 32.8K-token context window; open-weight; capabilities tools, vision; input audio, image, text, video; output audio, text. Vendor: qwen. Kind: CHAT. Context window: 32,768 tokens. Max output tokens: 2,048 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: audio, text. Capabilities: tools, vision. Weights: Open-weight. Knowledge cutoff: 2024-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen2-5-omni-7b.html"}
{"id":"qwen3-14b","label":"Qwen3 14B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","pricing":{"inputPer1M":0.35,"outputPer1M":1.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-14b","title":"Qwen3 14B","abstract":"Qwen3 14B (qwen3-14b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen3 14B (qwen3-14b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.35 in / $1.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-14b.html"}
{"id":"qwen3-235b-a22b","label":"Qwen3 235B-A22B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":16384,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","pricing":{"inputPer1M":0.7,"outputPer1M":2.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-235b-a22b","title":"Qwen3 235B-A22B","abstract":"Qwen3 235B-A22B (qwen3-235b-a22b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen3 235B-A22B (qwen3-235b-a22b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.7 in / $2.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-235b-a22b.html"}
{"id":"qwen3-32b","label":"Qwen3 32B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":16384,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","pricing":{"inputPer1M":0.7,"outputPer1M":2.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-32b","title":"Qwen3 32B","abstract":"Qwen3 32B (qwen3-32b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen3 32B (qwen3-32b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.7 in / $2.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-32b.html"}
{"id":"qwen3-8b","label":"Qwen3 8B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","pricing":{"inputPer1M":0.18,"outputPer1M":0.7,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-8b","title":"Qwen3 8B","abstract":"Qwen3 8B (qwen3-8b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen3 8B (qwen3-8b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.18 in / $0.7 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-8b.html"}
{"id":"qwen3-coder-30b-a3b-instruct","label":"Qwen3-Coder 30B-A3B Instruct","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","pricing":{"inputPer1M":0.45,"outputPer1M":2.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":226.18,"latencyTtftSec":1,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-coder-30b-a3b-instruct","title":"Qwen3-Coder 30B-A3B Instruct","abstract":"Qwen3-Coder 30B-A3B Instruct (qwen3-coder-30b-a3b-instruct) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen3-Coder 30B-A3B Instruct (qwen3-coder-30b-a3b-instruct) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.45 in / $2.25 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 226.18 tokens/s · 1s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-04. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-coder-30b-a3b-instruct.html"}
{"id":"qwen3-coder-480b-a35b-instruct","label":"Qwen3-Coder 480B-A35B Instruct","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","pricing":{"inputPer1M":1.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":65.8,"latencyTtftSec":1.14,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-coder-480b-a35b-instruct","title":"Qwen3-Coder 480B-A35B Instruct","abstract":"Qwen3-Coder 480B-A35B Instruct (qwen3-coder-480b-a35b-instruct) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen3-Coder 480B-A35B Instruct (qwen3-coder-480b-a35b-instruct) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 65.8 tokens/s · 1.14s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-04. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-coder-480b-a35b-instruct.html"}
{"id":"qwen3-coder-flash","label":"Qwen3 Coder Flash","kind":"CHAT","contextWindow":997952,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-07-28","pricing":{"inputPer1M":0.3,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-coder-flash","title":"Qwen3 Coder Flash","abstract":"Qwen3 Coder Flash (qwen3-coder-flash) is a chat model from qwen with a 998.0K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Qwen3 Coder Flash (qwen3-coder-flash) is a chat model from qwen with a 998.0K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 997,952 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.3 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2025-07-28. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-coder-flash.html"}
{"id":"qwen3-coder-plus","label":"Qwen3 Coder Plus","kind":"CHAT","contextWindow":997952,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-07-23","pricing":{"inputPer1M":1,"outputPer1M":5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-coder-plus","title":"Qwen3 Coder Plus","abstract":"Qwen3 Coder Plus (qwen3-coder-plus) is a chat model from qwen with a 998.0K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen3 Coder Plus (qwen3-coder-plus) is a chat model from qwen with a 998.0K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 997,952 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1 in / $5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2025-07-23. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-coder-plus.html"}
{"id":"qwen3-livetranslate-flash-realtime","label":"Qwen3-LiveTranslate Flash Realtime","kind":"CHAT","contextWindow":53248,"maxOutputTokens":4096,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["audio","image","text","video"],"output":["audio","text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-09-22","pricing":{"inputPer1M":10,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-livetranslate-flash-realtime","title":"Qwen3-LiveTranslate Flash Realtime","abstract":"Qwen3-LiveTranslate Flash Realtime (qwen3-livetranslate-flash-realtime) is a chat model from qwen with a 53.2K-token context window; proprietary (API-only); capabilities vision; input audio, image, text, video; output audio, text.","text":"Qwen3-LiveTranslate Flash Realtime (qwen3-livetranslate-flash-realtime) is a chat model from qwen with a 53.2K-token context window; proprietary (API-only); capabilities vision; input audio, image, text, video; output audio, text. Vendor: qwen. Kind: CHAT. Context window: 53,248 tokens. Max output tokens: 4,096 tokens. Indicative price (US list): $10 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: audio, text. Capabilities: vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-09-22. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-livetranslate-flash-realtime.html"}
{"id":"qwen3-max","label":"Qwen3 Max","kind":"CHAT","contextWindow":258048,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-09-23","pricing":{"inputPer1M":1.2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-max","title":"Qwen3 Max","abstract":"Qwen3 Max (qwen3-max) is a chat model from qwen with a 258.0K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Qwen3 Max (qwen3-max) is a chat model from qwen with a 258.0K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 258,048 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2025-09-23. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-max.html"}
{"id":"qwen3-next-80b-a3b-instruct","label":"Qwen3-Next 80B-A3B Instruct","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","pricing":{"inputPer1M":0.15,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":180.47,"latencyTtftSec":0.85,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-next-80b-a3b-instruct","title":"Qwen3-Next 80B-A3B Instruct","abstract":"Qwen3-Next 80B-A3B Instruct (qwen3-next-80b-a3b-instruct) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen3-Next 80B-A3B Instruct (qwen3-next-80b-a3b-instruct) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.15 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 180.47 tokens/s · 0.85s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-04. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-next-80b-a3b-instruct.html"}
{"id":"qwen3-next-80b-a3b-thinking","label":"Qwen3-Next 80B-A3B (Thinking)","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","pricing":{"inputPer1M":0.15,"outputPer1M":1.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-next-80b-a3b-thinking","title":"Qwen3-Next 80B-A3B (Thinking)","abstract":"Qwen3-Next 80B-A3B (Thinking) (qwen3-next-80b-a3b-thinking) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen3-Next 80B-A3B (Thinking) (qwen3-next-80b-a3b-thinking) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.15 in / $1.2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-next-80b-a3b-thinking.html"}
{"id":"qwen3-omni-flash","label":"Qwen3-Omni Flash","kind":"CHAT","contextWindow":65536,"maxOutputTokens":16384,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","text","video"],"output":["audio","text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-09-15","pricing":{"inputPer1M":0.43,"outputPer1M":1.66,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-omni-flash","title":"Qwen3-Omni Flash","abstract":"Qwen3-Omni Flash (qwen3-omni-flash) is a chat model from qwen with a 65.5K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text, video; output audio, text.","text":"Qwen3-Omni Flash (qwen3-omni-flash) is a chat model from qwen with a 65.5K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text, video; output audio, text. Vendor: qwen. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.43 in / $1.66 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: audio, text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-09-15. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-omni-flash.html"}
{"id":"qwen3-omni-flash-realtime","label":"Qwen3-Omni Flash Realtime","kind":"CHAT","contextWindow":65536,"maxOutputTokens":16384,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["audio","image","text","video"],"output":["audio","text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-09-15","pricing":{"inputPer1M":0.52,"outputPer1M":1.99,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-omni-flash-realtime","title":"Qwen3-Omni Flash Realtime","abstract":"Qwen3-Omni Flash Realtime (qwen3-omni-flash-realtime) is a chat model from qwen with a 65.5K-token context window; proprietary (API-only); capabilities tools, vision; input audio, image, text, video; output audio, text.","text":"Qwen3-Omni Flash Realtime (qwen3-omni-flash-realtime) is a chat model from qwen with a 65.5K-token context window; proprietary (API-only); capabilities tools, vision; input audio, image, text, video; output audio, text. Vendor: qwen. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.52 in / $1.99 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: audio, text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-09-15. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-omni-flash-realtime.html"}
{"id":"qwen3-vl-235b-a22b","label":"Qwen3-VL 235B-A22B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-04","pricing":{"inputPer1M":0.7,"outputPer1M":2.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-vl-235b-a22b","title":"Qwen3-VL 235B-A22B","abstract":"Qwen3-VL 235B-A22B (qwen3-vl-235b-a22b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Qwen3-VL 235B-A22B (qwen3-vl-235b-a22b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: qwen. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.7 in / $2.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-vl-235b-a22b.html"}
{"id":"qwen3-vl-30b-a3b","label":"Qwen3-VL 30B-A3B","kind":"CHAT","contextWindow":131072,"maxOutputTokens":32768,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-04","pricing":{"inputPer1M":0.2,"outputPer1M":0.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-vl-30b-a3b","title":"Qwen3-VL 30B-A3B","abstract":"Qwen3-VL 30B-A3B (qwen3-vl-30b-a3b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text.","text":"Qwen3-VL 30B-A3B (qwen3-vl-30b-a3b) is a chat model from qwen with a 131.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text; output text. Vendor: qwen. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.2 in / $0.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-vl-30b-a3b.html"}
{"id":"qwen3-vl-plus","label":"Qwen3-VL Plus","kind":"CHAT","contextWindow":260096,"maxOutputTokens":32768,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-09-23","pricing":{"inputPer1M":0.2,"outputPer1M":1.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-vl-plus","title":"Qwen3-VL Plus","abstract":"Qwen3-VL Plus (qwen3-vl-plus) is a chat model from qwen with a 260.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text.","text":"Qwen3-VL Plus (qwen3-vl-plus) is a chat model from qwen with a 260.1K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text; output text. Vendor: qwen. Kind: CHAT. Context window: 260,096 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.2 in / $1.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2025-09-23. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-vl-plus.html"}
{"id":"qwen3.5-122b-a10b","label":"Qwen3.5 122B-A10B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-23","pricing":{"inputPer1M":0.4,"outputPer1M":3.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":127.51,"latencyTtftSec":2.31,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.5-122b-a10b","title":"Qwen3.5 122B-A10B","abstract":"Qwen3.5 122B-A10B (qwen3.5-122b-a10b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.5 122B-A10B (qwen3.5-122b-a10b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.4 in / $3.2 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 127.51 tokens/s · 2.31s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-02-23. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.5-122b-a10b.html"}
{"id":"qwen3.5-27b","label":"Qwen3.5 27B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-23","pricing":{"inputPer1M":0.3,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":75.94,"latencyTtftSec":5.61,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.5-27b","title":"Qwen3.5 27B","abstract":"Qwen3.5 27B (qwen3.5-27b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.5 27B (qwen3.5-27b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.3 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 75.94 tokens/s · 5.61s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-02-23. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.5-27b.html"}
{"id":"qwen3.5-35b-a3b","label":"Qwen3.5 35B-A3B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-23","pricing":{"inputPer1M":0.25,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":142.91,"latencyTtftSec":2.01,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.5-35b-a3b","title":"Qwen3.5 35B-A3B","abstract":"Qwen3.5 35B-A3B (qwen3.5-35b-a3b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.5 35B-A3B (qwen3.5-35b-a3b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $2 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 142.91 tokens/s · 2.01s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-02-23. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.5-35b-a3b.html"}
{"id":"qwen3.5-397b-a17b","label":"Qwen3.5 397B-A17B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-15","pricing":{"inputPer1M":0.6,"outputPer1M":3.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":59.06,"latencyTtftSec":2.26,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.5-397b-a17b","title":"Qwen3.5 397B-A17B","abstract":"Qwen3.5 397B-A17B (qwen3.5-397b-a17b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.5 397B-A17B (qwen3.5-397b-a17b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.6 in / $3.6 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 59.06 tokens/s · 2.26s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-02-15. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.5-397b-a17b.html"}
{"id":"qwen3.5-flash","label":"Qwen3.5 Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-02-23","pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.5-flash","title":"Qwen3.5 Flash","abstract":"Qwen3.5 Flash (qwen3.5-flash) is a chat model from qwen with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.5 Flash (qwen3.5-flash) is a chat model from qwen with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-02-23. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.5-flash.html"}
{"id":"qwen3.5-plus","label":"Qwen3.5 Plus","kind":"CHAT","contextWindow":991808,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2026-02-16","pricing":{"inputPer1M":0.4,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.5-plus","title":"Qwen3.5 Plus","abstract":"Qwen3.5 Plus (qwen3.5-plus) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.5 Plus (qwen3.5-plus) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 991,808 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.4 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2026-02-16. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.5-plus.html"}
{"id":"qwen3.6-27b","label":"Qwen3.6 27B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-04-22","pricing":{"inputPer1M":0.6,"outputPer1M":3.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":53.89,"latencyTtftSec":3.61,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.6-27b","title":"Qwen3.6 27B","abstract":"Qwen3.6 27B (qwen3.6-27b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.6 27B (qwen3.6-27b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.6 in / $3.6 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 53.89 tokens/s · 3.61s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-04-22. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.6-27b.html"}
{"id":"qwen3.6-35b-a3b","label":"Qwen3.6 35B-A3B","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-04-17","pricing":{"inputPer1M":0.375,"outputPer1M":2.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":126.05,"latencyTtftSec":2.09,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.6-35b-a3b","title":"Qwen3.6 35B-A3B","abstract":"Qwen3.6 35B-A3B (qwen3.6-35b-a3b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.6 35B-A3B (qwen3.6-35b-a3b) is a chat model from qwen with a 262.1K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.375 in / $2.25 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 126.05 tokens/s · 2.09s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-04-17. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.6-35b-a3b.html"}
{"id":"qwen3.6-flash","label":"Qwen3.6 Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-04-27","pricing":{"inputPer1M":0.25,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.6-flash","title":"Qwen3.6 Flash","abstract":"Qwen3.6 Flash (qwen3.6-flash) is a chat model from qwen with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.6 Flash (qwen3.6-flash) is a chat model from qwen with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.25 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-04-27. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.6-flash.html"}
{"id":"qwen3.6-max-preview","label":"Qwen3.6 Max Preview","kind":"CHAT","contextWindow":262144,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2026-04-20","pricing":{"inputPer1M":1.3,"outputPer1M":7.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.6-max-preview","title":"Qwen3.6 Max Preview","abstract":"Qwen3.6 Max Preview (qwen3.6-max-preview) is a chat model from qwen with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Qwen3.6 Max Preview (qwen3.6-max-preview) is a chat model from qwen with a 262.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 262,144 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.3 in / $7.8 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2026-04-20. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.6-max-preview.html"}
{"id":"qwen3.6-plus","label":"Qwen3.6 Plus","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2026-04-02","pricing":{"inputPer1M":0.5,"outputPer1M":3,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":56.05,"latencyTtftSec":2.02,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.6-plus","title":"Qwen3.6 Plus","abstract":"Qwen3.6 Plus (qwen3.6-plus) is a chat model from qwen with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.6 Plus (qwen3.6-plus) is a chat model from qwen with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.5 in / $3 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 56.05 tokens/s · 2.02s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2026-04-02. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.6-plus.html"}
{"id":"qwen3.7-flash","label":"Qwen3.7 Flash","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-07-15","pricing":{"inputPer1M":0.03,"outputPer1M":0.13,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.7-flash","title":"Qwen3.7 Flash","abstract":"Qwen3.7 Flash (qwen3.7-flash) is a chat model from qwen with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.7 Flash (qwen3.7-flash) is a chat model from qwen with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.03 in / $0.13 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-07-15. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.7-flash.html"}
{"id":"qwen3.7-max","label":"Qwen3.7 Max","kind":"CHAT","contextWindow":991808,"maxOutputTokens":65536,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-05-21","pricing":{"inputPer1M":2.5,"outputPer1M":7.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":199.38,"latencyTtftSec":2.19,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.7-max","title":"Qwen3.7 Max","abstract":"Qwen3.7 Max (qwen3.7-max) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"Qwen3.7 Max (qwen3.7-max) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 991,808 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $2.5 in / $7.5 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 199.38 tokens/s · 2.19s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-05-21. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.7-max.html"}
{"id":"qwen3.7-plus","label":"Qwen3.7 Plus","kind":"CHAT","contextWindow":991808,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2026-06-02","pricing":{"inputPer1M":0.4,"outputPer1M":1.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":58.38,"latencyTtftSec":2.4,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.7-plus","title":"Qwen3.7 Plus","abstract":"Qwen3.7 Plus (qwen3.7-plus) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.7 Plus (qwen3.7-plus) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 991,808 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $0.4 in / $1.6 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 58.38 tokens/s · 2.4s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2026-06-02. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.7-plus.html"}
{"id":"qwen3.8-flash","label":"Qwen3.8 Flash","kind":"CHAT","contextWindow":991808,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-08-26","pricing":{"inputPer1M":0.15,"outputPer1M":0.47,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.8-flash","title":"Qwen3.8 Flash","abstract":"Qwen3.8 Flash (qwen3.8-flash) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Qwen3.8 Flash (qwen3.8-flash) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 991,808 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.15 in / $0.47 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-08-26. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.8-flash.html"}
{"id":"qwen3.8-max","label":"Qwen3.8 Max","kind":"CHAT","contextWindow":991808,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-08-03","pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":33.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":37.55,"latencyTtftSec":3.15,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.8-max","title":"Qwen3.8 Max","abstract":"Qwen3.8 Max (qwen3.8-max) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text, video; output text.","text":"Qwen3.8 Max (qwen3.8-max) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 991,808 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 33.7 (cited from Artificial Analysis — verify at the source). Cited speed: 37.55 tokens/s · 3.15s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-08-03. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.8-max.html"}
{"id":"qwen3.8-omni-flash","label":"Qwen3.8 Omni Flash","kind":"CHAT","contextWindow":991808,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","text","video"],"output":["text"]},"releaseDate":"2026-09-17","pricing":{"inputPer1M":0.15,"outputPer1M":0.47,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3.8-omni-flash","title":"Qwen3.8 Omni Flash","abstract":"Qwen3.8 Omni Flash (qwen3.8-omni-flash) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text, video; output text.","text":"Qwen3.8 Omni Flash (qwen3.8-omni-flash) is a chat model from qwen with a 991.8K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input audio, image, text, video; output text. Vendor: qwen. Kind: CHAT. Context window: 991,808 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.15 in / $0.47 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-09-17. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3.8-omni-flash.html"}
{"id":"qwq-plus","label":"QwQ Plus","kind":"CHAT","contextWindow":98304,"maxOutputTokens":8192,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-03-05","pricing":{"inputPer1M":0.8,"outputPer1M":2.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwq-plus","title":"QwQ Plus","abstract":"QwQ Plus (qwq-plus) is a chat model from qwen with a 98.3K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"QwQ Plus (qwq-plus) is a chat model from qwen with a 98.3K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: qwen. Kind: CHAT. Context window: 98,304 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.8 in / $2.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-03-05. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwq-plus.html"}
{"id":"qwen-image-2.0","label":"qwen-image-2.0","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-image-2.0","title":"qwen-image-2.0","abstract":"qwen-image-2.0 (qwen-image-2.0) is a image model from qwen; input text.","text":"qwen-image-2.0 (qwen-image-2.0) is a image model from qwen; input text. Vendor: qwen. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-image-2.0.html"}
{"id":"qwen-image-2.0-pro","label":"qwen-image-2.0-pro","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-image-2.0-pro","title":"qwen-image-2.0-pro","abstract":"qwen-image-2.0-pro (qwen-image-2.0-pro) is a image model from qwen; input text.","text":"qwen-image-2.0-pro (qwen-image-2.0-pro) is a image model from qwen; input text. Vendor: qwen. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-image-2.0-pro.html"}
{"id":"qwen-image-3.0","label":"qwen-image-3.0","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-image-3.0","title":"qwen-image-3.0","abstract":"qwen-image-3.0 (qwen-image-3.0) is a image model from qwen; input text.","text":"qwen-image-3.0 (qwen-image-3.0) is a image model from qwen; input text. Vendor: qwen. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-image-3.0.html"}
{"id":"qwen-image-3.0-pro","label":"qwen-image-3.0-pro","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen-image-3.0-pro","title":"qwen-image-3.0-pro","abstract":"qwen-image-3.0-pro (qwen-image-3.0-pro) is a image model from qwen; input text.","text":"qwen-image-3.0-pro (qwen-image-3.0-pro) is a image model from qwen; input text. Vendor: qwen. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen-image-3.0-pro.html"}
{"id":"qwen3-asr-flash","label":"Qwen3-ASR Flash","kind":"TRANSCRIPTION","contextWindow":53248,"maxOutputTokens":4096,"openWeights":false,"modalities":{"input":["audio"],"output":["text"]},"knowledgeCutoff":"2024-04","releaseDate":"2025-09-08","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/qwen3-asr-flash","title":"Qwen3-ASR Flash","abstract":"Qwen3-ASR Flash (qwen3-asr-flash) is a transcription model from qwen with a 53.2K-token context window; proprietary (API-only); input audio; output text.","text":"Qwen3-ASR Flash (qwen3-asr-flash) is a transcription model from qwen with a 53.2K-token context window; proprietary (API-only); input audio; output text. Vendor: qwen. Kind: TRANSCRIPTION. Context window: 53,248 tokens. Max output tokens: 4,096 tokens. Input modalities: audio. Output modalities: text. Weights: Proprietary (API-only). Knowledge cutoff: 2024-04. Release date: 2025-09-08. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/qwen3-asr-flash.html"}
{"id":"happyhorse-1.0-i2v","label":"happyhorse-1.0-i2v","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/happyhorse-1.0-i2v","title":"happyhorse-1.0-i2v","abstract":"happyhorse-1.0-i2v (happyhorse-1.0-i2v) is a video model from qwen; input image, text; output video.","text":"happyhorse-1.0-i2v (happyhorse-1.0-i2v) is a video model from qwen; input image, text; output video. Vendor: qwen. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/happyhorse-1.0-i2v.html"}
{"id":"happyhorse-1.0-r2v","label":"happyhorse-1.0-r2v","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/happyhorse-1.0-r2v","title":"happyhorse-1.0-r2v","abstract":"happyhorse-1.0-r2v (happyhorse-1.0-r2v) is a video model from qwen; input image, text; output video.","text":"happyhorse-1.0-r2v (happyhorse-1.0-r2v) is a video model from qwen; input image, text; output video. Vendor: qwen. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/happyhorse-1.0-r2v.html"}
{"id":"happyhorse-1.0-t2v","label":"happyhorse-1.0-t2v","kind":"VIDEO","modalities":{"input":["text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/happyhorse-1.0-t2v","title":"happyhorse-1.0-t2v","abstract":"happyhorse-1.0-t2v (happyhorse-1.0-t2v) is a video model from qwen; input text; output video.","text":"happyhorse-1.0-t2v (happyhorse-1.0-t2v) is a video model from qwen; input text; output video. Vendor: qwen. Kind: VIDEO. Input modalities: text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/happyhorse-1.0-t2v.html"}
{"id":"happyhorse-1.1-i2v","label":"happyhorse-1.1-i2v","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/happyhorse-1.1-i2v","title":"happyhorse-1.1-i2v","abstract":"happyhorse-1.1-i2v (happyhorse-1.1-i2v) is a video model from qwen; input image, text; output video.","text":"happyhorse-1.1-i2v (happyhorse-1.1-i2v) is a video model from qwen; input image, text; output video. Vendor: qwen. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/happyhorse-1.1-i2v.html"}
{"id":"happyhorse-1.1-r2v","label":"happyhorse-1.1-r2v","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/happyhorse-1.1-r2v","title":"happyhorse-1.1-r2v","abstract":"happyhorse-1.1-r2v (happyhorse-1.1-r2v) is a video model from qwen; input image, text; output video.","text":"happyhorse-1.1-r2v (happyhorse-1.1-r2v) is a video model from qwen; input image, text; output video. Vendor: qwen. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/happyhorse-1.1-r2v.html"}
{"id":"happyhorse-1.1-t2v","label":"happyhorse-1.1-t2v","kind":"VIDEO","modalities":{"input":["text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/happyhorse-1.1-t2v","title":"happyhorse-1.1-t2v","abstract":"happyhorse-1.1-t2v (happyhorse-1.1-t2v) is a video model from qwen; input text; output video.","text":"happyhorse-1.1-t2v (happyhorse-1.1-t2v) is a video model from qwen; input text; output video. Vendor: qwen. Kind: VIDEO. Input modalities: text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/happyhorse-1.1-t2v.html"}
{"id":"wan2.7-i2v","label":"wan2.7-i2v","kind":"VIDEO","modalities":{"input":["audio","image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/wan2.7-i2v","title":"wan2.7-i2v","abstract":"wan2.7-i2v (wan2.7-i2v) is a video model from qwen; input audio, image, text, video; output video.","text":"wan2.7-i2v (wan2.7-i2v) is a video model from qwen; input audio, image, text, video; output video. Vendor: qwen. Kind: VIDEO. Input modalities: audio, image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/wan2.7-i2v.html"}
{"id":"wan2.7-r2v","label":"wan2.7-r2v","kind":"VIDEO","modalities":{"input":["audio","image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/wan2.7-r2v","title":"wan2.7-r2v","abstract":"wan2.7-r2v (wan2.7-r2v) is a video model from qwen; input audio, image, text, video; output video.","text":"wan2.7-r2v (wan2.7-r2v) is a video model from qwen; input audio, image, text, video; output video. Vendor: qwen. Kind: VIDEO. Input modalities: audio, image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/wan2.7-r2v.html"}
{"id":"wan2.7-t2v","label":"wan2.7-t2v","kind":"VIDEO","modalities":{"input":["audio","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/wan2.7-t2v","title":"wan2.7-t2v","abstract":"wan2.7-t2v (wan2.7-t2v) is a video model from qwen; input audio, text; output video.","text":"wan2.7-t2v (wan2.7-t2v) is a video model from qwen; input audio, text; output video. Vendor: qwen. Kind: VIDEO. Input modalities: audio, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/wan2.7-t2v.html"}
{"id":"wan3.0-video","label":"wan3.0-video","kind":"VIDEO","modalities":{"input":["audio","image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/wan3.0-video","title":"wan3.0-video","abstract":"wan3.0-video (wan3.0-video) is a video model from qwen; input audio, image, text, video; output video.","text":"wan3.0-video (wan3.0-video) is a video model from qwen; input audio, image, text, video; output video. Vendor: qwen. Kind: VIDEO. Input modalities: audio, image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/wan3.0-video.html"}
{"id":"wan3.0-video-prime","label":"wan3.0-video-prime","kind":"VIDEO","modalities":{"input":["audio","image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"qwen","ref":"qwen/wan3.0-video-prime","title":"wan3.0-video-prime","abstract":"wan3.0-video-prime (wan3.0-video-prime) is a video model from qwen; input audio, image, text, video; output video.","text":"wan3.0-video-prime (wan3.0-video-prime) is a video model from qwen; input audio, image, text, video; output video. Vendor: qwen. Kind: VIDEO. Input modalities: audio, image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/qwen/wan3.0-video-prime.html"}
{"id":"recraftv2","label":"recraftv2","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"recraft","ref":"recraft/recraftv2","title":"recraftv2","abstract":"recraftv2 (recraftv2) is a image model from recraft; input text.","text":"recraftv2 (recraftv2) is a image model from recraft; input text. Vendor: recraft. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/recraft/recraftv2.html"}
{"id":"recraftv3","label":"recraftv3","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"recraft","ref":"recraft/recraftv3","title":"recraftv3","abstract":"recraftv3 (recraftv3) is a image model from recraft; input text.","text":"recraftv3 (recraftv3) is a image model from recraft; input text. Vendor: recraft. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/recraft/recraftv3.html"}
{"id":"gen4_image","label":"gen4_image","kind":"IMAGE","modalities":{"input":["image","text"],"output":["image"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/gen4_image","title":"gen4_image","abstract":"gen4_image (gen4_image) is a image model from runway; input image, text; output image.","text":"gen4_image (gen4_image) is a image model from runway; input image, text; output image. Vendor: runway. Kind: IMAGE. Input modalities: image, text. Output modalities: image. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/gen4_image.html"}
{"id":"gen4_image_turbo","label":"gen4_image_turbo","kind":"IMAGE","modalities":{"input":["image","text"],"output":["image"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/gen4_image_turbo","title":"gen4_image_turbo","abstract":"gen4_image_turbo (gen4_image_turbo) is a image model from runway; input image, text; output image.","text":"gen4_image_turbo (gen4_image_turbo) is a image model from runway; input image, text; output image. Vendor: runway. Kind: IMAGE. Input modalities: image, text. Output modalities: image. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/gen4_image_turbo.html"}
{"id":"aleph2","label":"aleph2","kind":"VIDEO","modalities":{"input":["text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/aleph2","title":"aleph2","abstract":"aleph2 (aleph2) is a video model from runway; input text, video; output video.","text":"aleph2 (aleph2) is a video model from runway; input text, video; output video. Vendor: runway. Kind: VIDEO. Input modalities: text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/aleph2.html"}
{"id":"gemini_omni_flash","label":"gemini_omni_flash","kind":"VIDEO","modalities":{"input":["image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/gemini_omni_flash","title":"gemini_omni_flash","abstract":"gemini_omni_flash (gemini_omni_flash) is a video model from runway; input image, text, video; output video.","text":"gemini_omni_flash (gemini_omni_flash) is a video model from runway; input image, text, video; output video. Vendor: runway. Kind: VIDEO. Input modalities: image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/gemini_omni_flash.html"}
{"id":"gen4_turbo","label":"gen4_turbo","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/gen4_turbo","title":"gen4_turbo","abstract":"gen4_turbo (gen4_turbo) is a video model from runway; input image, text; output video.","text":"gen4_turbo (gen4_turbo) is a video model from runway; input image, text; output video. Vendor: runway. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/gen4_turbo.html"}
{"id":"gen4.5","label":"gen4.5","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/gen4.5","title":"gen4.5","abstract":"gen4.5 (gen4.5) is a video model from runway; input image, text; output video.","text":"gen4.5 (gen4.5) is a video model from runway; input image, text; output video. Vendor: runway. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/gen4.5.html"}
{"id":"hailuo3","label":"hailuo3","kind":"VIDEO","modalities":{"input":["image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/hailuo3","title":"hailuo3","abstract":"hailuo3 (hailuo3) is a video model from runway; input image, text, video; output video.","text":"hailuo3 (hailuo3) is a video model from runway; input image, text, video; output video. Vendor: runway. Kind: VIDEO. Input modalities: image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/hailuo3.html"}
{"id":"seedance2","label":"seedance2","kind":"VIDEO","modalities":{"input":["image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/seedance2","title":"seedance2","abstract":"seedance2 (seedance2) is a video model from runway; input image, text, video; output video.","text":"seedance2 (seedance2) is a video model from runway; input image, text, video; output video. Vendor: runway. Kind: VIDEO. Input modalities: image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/seedance2.html"}
{"id":"seedance2_5","label":"seedance2_5","kind":"VIDEO","modalities":{"input":["image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/seedance2_5","title":"seedance2_5","abstract":"seedance2_5 (seedance2_5) is a video model from runway; input image, text, video; output video.","text":"seedance2_5 (seedance2_5) is a video model from runway; input image, text, video; output video. Vendor: runway. Kind: VIDEO. Input modalities: image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/seedance2_5.html"}
{"id":"seedance2_fast","label":"seedance2_fast","kind":"VIDEO","modalities":{"input":["image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/seedance2_fast","title":"seedance2_fast","abstract":"seedance2_fast (seedance2_fast) is a video model from runway; input image, text, video; output video.","text":"seedance2_fast (seedance2_fast) is a video model from runway; input image, text, video; output video. Vendor: runway. Kind: VIDEO. Input modalities: image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/seedance2_fast.html"}
{"id":"seedance2_mini","label":"seedance2_mini","kind":"VIDEO","modalities":{"input":["image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/seedance2_mini","title":"seedance2_mini","abstract":"seedance2_mini (seedance2_mini) is a video model from runway; input image, text, video; output video.","text":"seedance2_mini (seedance2_mini) is a video model from runway; input image, text, video; output video. Vendor: runway. Kind: VIDEO. Input modalities: image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/seedance2_mini.html"}
{"id":"veo3.1","label":"veo3.1","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/veo3.1","title":"veo3.1","abstract":"veo3.1 (veo3.1) is a video model from runway; input image, text; output video.","text":"veo3.1 (veo3.1) is a video model from runway; input image, text; output video. Vendor: runway. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/veo3.1.html"}
{"id":"veo3.1_fast","label":"veo3.1_fast","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"runway","ref":"runway/veo3.1_fast","title":"veo3.1_fast","abstract":"veo3.1_fast (veo3.1_fast) is a video model from runway; input image, text; output video.","text":"veo3.1_fast (veo3.1_fast) is a video model from runway; input image, text; output video. Vendor: runway. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/runway/veo3.1_fast.html"}
{"id":"conservative","label":"conservative","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/conservative","title":"conservative","abstract":"conservative (conservative) is a image model from stability; input text.","text":"conservative (conservative) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/conservative.html"}
{"id":"creative","label":"creative","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/creative","title":"creative","abstract":"creative (creative) is a image model from stability; input text.","text":"creative (creative) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/creative.html"}
{"id":"erase","label":"erase","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/erase","title":"erase","abstract":"erase (erase) is a image model from stability; input text.","text":"erase (erase) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/erase.html"}
{"id":"fast","label":"fast","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/fast","title":"fast","abstract":"fast (fast) is a image model from stability; input text.","text":"fast (fast) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/fast.html"}
{"id":"inpaint","label":"inpaint","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/inpaint","title":"inpaint","abstract":"inpaint (inpaint) is a image model from stability; input text.","text":"inpaint (inpaint) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/inpaint.html"}
{"id":"outpaint","label":"outpaint","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/outpaint","title":"outpaint","abstract":"outpaint (outpaint) is a image model from stability; input text.","text":"outpaint (outpaint) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/outpaint.html"}
{"id":"remove-background","label":"remove-background","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/remove-background","title":"remove-background","abstract":"remove-background (remove-background) is a image model from stability; input text.","text":"remove-background (remove-background) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/remove-background.html"}
{"id":"replace-background-and-relight","label":"replace-background-and-relight","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/replace-background-and-relight","title":"replace-background-and-relight","abstract":"replace-background-and-relight (replace-background-and-relight) is a image model from stability; input text.","text":"replace-background-and-relight (replace-background-and-relight) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/replace-background-and-relight.html"}
{"id":"sd3","label":"sd3","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/sd3","title":"sd3","abstract":"sd3 (sd3) is a image model from stability; input text.","text":"sd3 (sd3) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/sd3.html"}
{"id":"sd3-large","label":"sd3-large","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/sd3-large","title":"sd3-large","abstract":"sd3-large (sd3-large) is a image model from stability; input text.","text":"sd3-large (sd3-large) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/sd3-large.html"}
{"id":"sd3-large-turbo","label":"sd3-large-turbo","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/sd3-large-turbo","title":"sd3-large-turbo","abstract":"sd3-large-turbo (sd3-large-turbo) is a image model from stability; input text.","text":"sd3-large-turbo (sd3-large-turbo) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/sd3-large-turbo.html"}
{"id":"sd3-medium","label":"sd3-medium","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/sd3-medium","title":"sd3-medium","abstract":"sd3-medium (sd3-medium) is a image model from stability; input text.","text":"sd3-medium (sd3-medium) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/sd3-medium.html"}
{"id":"sd3.5-large","label":"sd3.5-large","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/sd3.5-large","title":"sd3.5-large","abstract":"sd3.5-large (sd3.5-large) is a image model from stability; input text.","text":"sd3.5-large (sd3.5-large) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/sd3.5-large.html"}
{"id":"sd3.5-large-turbo","label":"sd3.5-large-turbo","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/sd3.5-large-turbo","title":"sd3.5-large-turbo","abstract":"sd3.5-large-turbo (sd3.5-large-turbo) is a image model from stability; input text.","text":"sd3.5-large-turbo (sd3.5-large-turbo) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/sd3.5-large-turbo.html"}
{"id":"sd3.5-medium","label":"sd3.5-medium","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/sd3.5-medium","title":"sd3.5-medium","abstract":"sd3.5-medium (sd3.5-medium) is a image model from stability; input text.","text":"sd3.5-medium (sd3.5-medium) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/sd3.5-medium.html"}
{"id":"search-and-recolor","label":"search-and-recolor","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/search-and-recolor","title":"search-and-recolor","abstract":"search-and-recolor (search-and-recolor) is a image model from stability; input text.","text":"search-and-recolor (search-and-recolor) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/search-and-recolor.html"}
{"id":"search-and-replace","label":"search-and-replace","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/search-and-replace","title":"search-and-replace","abstract":"search-and-replace (search-and-replace) is a image model from stability; input text.","text":"search-and-replace (search-and-replace) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/search-and-replace.html"}
{"id":"sketch","label":"sketch","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/sketch","title":"sketch","abstract":"sketch (sketch) is a image model from stability; input text.","text":"sketch (sketch) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/sketch.html"}
{"id":"stable-image-core","label":"stable-image-core","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/stable-image-core","title":"stable-image-core","abstract":"stable-image-core (stable-image-core) is a image model from stability; input text.","text":"stable-image-core (stable-image-core) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/stable-image-core.html"}
{"id":"stable-image-ultra","label":"stable-image-ultra","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/stable-image-ultra","title":"stable-image-ultra","abstract":"stable-image-ultra (stable-image-ultra) is a image model from stability; input text.","text":"stable-image-ultra (stable-image-ultra) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/stable-image-ultra.html"}
{"id":"structure","label":"structure","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/structure","title":"structure","abstract":"structure (structure) is a image model from stability; input text.","text":"structure (structure) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/structure.html"}
{"id":"style","label":"style","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/style","title":"style","abstract":"style (style) is a image model from stability; input text.","text":"style (style) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/style.html"}
{"id":"style-transfer","label":"style-transfer","kind":"IMAGE","modalities":{"input":["text"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"stability","ref":"stability/style-transfer","title":"style-transfer","abstract":"style-transfer (style-transfer) is a image model from stability; input text.","text":"style-transfer (style-transfer) is a image model from stability; input text. Vendor: stability. Kind: IMAGE. Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stability/style-transfer.html"}
{"id":"step-3.5-flash","label":"Step 3.5 Flash","kind":"CHAT","contextWindow":256000,"maxOutputTokens":256000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-01-29","pricing":{"inputPer1M":0.10461,"outputPer1M":0.31384,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":115.15,"latencyTtftSec":3.31,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"stepfun","ref":"stepfun/step-3.5-flash","title":"Step 3.5 Flash","abstract":"Step 3.5 Flash (step-3.5-flash) is a chat model from stepfun with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Step 3.5 Flash (step-3.5-flash) is a chat model from stepfun with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: stepfun. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 256,000 tokens. Indicative price (US list): $0.10461 in / $0.31384 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 115.15 tokens/s · 3.31s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-01-29. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stepfun/step-3.5-flash.html"}
{"id":"step-3.5-flash-2603","label":"Step 3.5 Flash 2603","kind":"CHAT","contextWindow":256000,"maxOutputTokens":256000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2026-04-02","pricing":{"inputPer1M":0.10461,"outputPer1M":0.31384,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"stepfun","ref":"stepfun/step-3.5-flash-2603","title":"Step 3.5 Flash 2603","abstract":"Step 3.5 Flash 2603 (step-3.5-flash-2603) is a chat model from stepfun with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Step 3.5 Flash 2603 (step-3.5-flash-2603) is a chat model from stepfun with a 256K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: stepfun. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 256,000 tokens. Indicative price (US list): $0.10461 in / $0.31384 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-01. Release date: 2026-04-02. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stepfun/step-3.5-flash-2603.html"}
{"id":"step-3.7-flash","label":"Step 3.7 Flash","kind":"CHAT","contextWindow":256000,"maxOutputTokens":256000,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2026-03-01","releaseDate":"2026-05-29","pricing":{"inputPer1M":0.20175,"outputPer1M":1.21052,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":82.84,"latencyTtftSec":2.63,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"stepfun","ref":"stepfun/step-3.7-flash","title":"Step 3.7 Flash","abstract":"Step 3.7 Flash (step-3.7-flash) is a chat model from stepfun with a 256K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Step 3.7 Flash (step-3.7-flash) is a chat model from stepfun with a 256K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: stepfun. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 256,000 tokens. Indicative price (US list): $0.20175 in / $1.21052 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 82.84 tokens/s · 2.63s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2026-03-01. Release date: 2026-05-29. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stepfun/step-3.7-flash.html"}
{"id":"step-5-preview","label":"Step 5 Preview","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":65536,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2026-09-16","pricing":{"inputPer1M":1.04613,"outputPer1M":2.98895,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"stepfun","ref":"stepfun/step-5-preview","title":"Step 5 Preview","abstract":"Step 5 Preview (step-5-preview) is a chat model from stepfun with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"Step 5 Preview (step-5-preview) is a chat model from stepfun with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: stepfun. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 65,536 tokens. Indicative price (US list): $1.04613 in / $2.98895 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-09-16. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stepfun/step-5-preview.html"}
{"id":"stepaudio-2.5-asr","label":"StepAudio 2.5 ASR","kind":"TRANSCRIPTION","openWeights":false,"modalities":{"input":["audio"],"output":["text"]},"releaseDate":"2026-04-24","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"stepfun","ref":"stepfun/stepaudio-2.5-asr","title":"StepAudio 2.5 ASR","abstract":"StepAudio 2.5 ASR (stepaudio-2.5-asr) is a transcription model from stepfun; proprietary (API-only); input audio; output text.","text":"StepAudio 2.5 ASR (stepaudio-2.5-asr) is a transcription model from stepfun; proprietary (API-only); input audio; output text. Vendor: stepfun. Kind: TRANSCRIPTION. Input modalities: audio. Output modalities: text. Weights: Proprietary (API-only). Release date: 2026-04-24. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stepfun/stepaudio-2.5-asr.html"}
{"id":"step-tts-2","label":"Step TTS 2","kind":"SPEECH","openWeights":false,"modalities":{"input":["text"],"output":["audio"]},"releaseDate":"2026-03-01","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"stepfun","ref":"stepfun/step-tts-2","title":"Step TTS 2","abstract":"Step TTS 2 (step-tts-2) is a speech model from stepfun; proprietary (API-only); input text; output audio.","text":"Step TTS 2 (step-tts-2) is a speech model from stepfun; proprietary (API-only); input text; output audio. Vendor: stepfun. Kind: SPEECH. Input modalities: text. Output modalities: audio. Weights: Proprietary (API-only). Release date: 2026-03-01. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stepfun/step-tts-2.html"}
{"id":"stepaudio-2.5-tts","label":"StepAudio 2.5 TTS","kind":"SPEECH","openWeights":false,"modalities":{"input":["text"],"output":["audio"]},"releaseDate":"2026-04-16","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"stepfun","ref":"stepfun/stepaudio-2.5-tts","title":"StepAudio 2.5 TTS","abstract":"StepAudio 2.5 TTS (stepaudio-2.5-tts) is a speech model from stepfun; proprietary (API-only); input text; output audio.","text":"StepAudio 2.5 TTS (stepaudio-2.5-tts) is a speech model from stepfun; proprietary (API-only); input text; output audio. Vendor: stepfun. Kind: SPEECH. Input modalities: text. Output modalities: audio. Weights: Proprietary (API-only). Release date: 2026-04-16. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/stepfun/stepaudio-2.5-tts.html"}
{"id":"deepseek-ai/DeepSeek-R1","label":"DeepSeek-R1","kind":"CHAT","contextWindow":128000,"maxOutputTokens":20480,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-07","releaseDate":"2025-01-20","pricing":{"inputPer1M":3,"outputPer1M":7,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"together","ref":"together/deepseek-ai/DeepSeek-R1","title":"DeepSeek-R1","abstract":"DeepSeek-R1 (deepseek-ai/DeepSeek-R1) is a chat model from together with a 128K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"DeepSeek-R1 (deepseek-ai/DeepSeek-R1) is a chat model from together with a 128K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: together. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 20,480 tokens. Indicative price (US list): $3 in / $7 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2024-07. Release date: 2025-01-20. Sources: committed, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/together/deepseek-ai-deepseek-r1.html"}
{"id":"deepseek-ai/DeepSeek-V3","label":"DeepSeek-V3","kind":"CHAT","contextWindow":65536,"maxOutputTokens":8192,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2024-12-26","pricing":{"inputPer1M":1.25,"outputPer1M":1.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":14.2,"scores":{"coding":{"value":23},"math":{"value":26}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"together","ref":"together/deepseek-ai/DeepSeek-V3","title":"DeepSeek-V3","abstract":"DeepSeek-V3 (deepseek-ai/DeepSeek-V3) is a chat model from together with a 65.5K-token context window; open-weight; capabilities tools; input text; output text.","text":"DeepSeek-V3 (deepseek-ai/DeepSeek-V3) is a chat model from together with a 65.5K-token context window; open-weight; capabilities tools; input text; output text. Vendor: together. Kind: CHAT. Context window: 65,536 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $1.25 in / $1.25 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 14.2 · coding 23 · math 26 (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Release date: 2024-12-26. Sources: committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/together/deepseek-ai-deepseek-v3.html"}
{"id":"meta-llama/Llama-3.3-70B-Instruct-Turbo","label":"Llama 3.3 70B Instruct Turbo","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2023-12","releaseDate":"2024-12-06","pricing":{"inputPer1M":0.88,"outputPer1M":0.88,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"together","ref":"together/meta-llama/Llama-3.3-70B-Instruct-Turbo","title":"Llama 3.3 70B Instruct Turbo","abstract":"Llama 3.3 70B Instruct Turbo (meta-llama/Llama-3.3-70B-Instruct-Turbo) is a chat model from together with a 131.1K-token context window; open-weight; capabilities tools; input text; output text.","text":"Llama 3.3 70B Instruct Turbo (meta-llama/Llama-3.3-70B-Instruct-Turbo) is a chat model from together with a 131.1K-token context window; open-weight; capabilities tools; input text; output text. Vendor: together. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.88 in / $0.88 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2023-12. Release date: 2024-12-06. Sources: committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/together/meta-llama-llama-3.3-70b-instruct-turbo.html"}
{"id":"meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8","label":"Llama 4 Maverick 17B","kind":"CHAT","capabilities":["tools"],"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.27,"outputPer1M":0.85,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"together","ref":"together/meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8","title":"Llama 4 Maverick 17B","abstract":"Llama 4 Maverick 17B (meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8) is a chat model from together; capabilities tools; input text.","text":"Llama 4 Maverick 17B (meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8) is a chat model from together; capabilities tools; input text. Vendor: together. Kind: CHAT. Indicative price (US list): $0.27 in / $0.85 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools. Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/together/meta-llama-llama-4-maverick-17b-128e-instruct-fp8.html"}
{"id":"Qwen/Qwen3-235B-A22B-Instruct-2507-tput","label":"Qwen3 235B A22B Instruct","kind":"CHAT","contextWindow":262000,"maxOutputTokens":262144,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-07-21","pricing":{"inputPer1M":0.2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"together","ref":"together/Qwen/Qwen3-235B-A22B-Instruct-2507-tput","title":"Qwen3 235B A22B Instruct","abstract":"Qwen3 235B A22B Instruct (Qwen/Qwen3-235B-A22B-Instruct-2507-tput) is a chat model from together with a 262K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen3 235B A22B Instruct (Qwen/Qwen3-235B-A22B-Instruct-2507-tput) is a chat model from together with a 262K-token context window; open-weight; capabilities tools; input text; output text. Vendor: together. Kind: CHAT. Context window: 262,000 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $0.2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Release date: 2025-07-21. Sources: committed, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/together/qwen-qwen3-235b-a22b-instruct-2507-tput.html"}
{"id":"Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8","label":"Qwen3 Coder 480B","kind":"CHAT","contextWindow":256000,"maxOutputTokens":262144,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-07-22","pricing":{"inputPer1M":2,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"together","ref":"together/Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8","title":"Qwen3 Coder 480B","abstract":"Qwen3 Coder 480B (Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8) is a chat model from together with a 256K-token context window; open-weight; capabilities tools; input text; output text.","text":"Qwen3 Coder 480B (Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8) is a chat model from together with a 256K-token context window; open-weight; capabilities tools; input text; output text. Vendor: together. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 262,144 tokens. Indicative price (US list): $2 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2025-07-22. Sources: committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/together/qwen-qwen3-coder-480b-a35b-instruct-fp8.html"}
{"id":"alibaba/qwen-3-235b","label":"Qwen3 235B (via Vercel)","kind":"CHAT","contextWindow":40960,"maxOutputTokens":16384,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2025-07-21","pricing":{"inputPer1M":0.2,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"vercel","ref":"vercel/alibaba/qwen-3-235b","title":"Qwen3 235B (via Vercel)","abstract":"Qwen3 235B (via Vercel) (alibaba/qwen-3-235b) is a chat model from vercel with a 41.0K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"Qwen3 235B (via Vercel) (alibaba/qwen-3-235b) is a chat model from vercel with a 41.0K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: vercel. Kind: CHAT. Context window: 40,960 tokens. Max output tokens: 16,384 tokens. Indicative price (US list): $0.2 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2025-07-21. Sources: litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vercel/alibaba-qwen-3-235b.html"}
{"id":"amazon/nova-pro","label":"Amazon Nova Pro (via Vercel)","kind":"CHAT","contextWindow":300000,"maxOutputTokens":8192,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2024-10","releaseDate":"2024-12-03","pricing":{"inputPer1M":0.8,"outputPer1M":3.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":7,"scores":{"math":{"value":7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":131.45,"latencyTtftSec":1.07,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"vercel","ref":"vercel/amazon/nova-pro","title":"Amazon Nova Pro (via Vercel)","abstract":"Amazon Nova Pro (via Vercel) (amazon/nova-pro) is a chat model from vercel with a 300K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text, video; output text.","text":"Amazon Nova Pro (via Vercel) (amazon/nova-pro) is a chat model from vercel with a 300K-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text, video; output text. Vendor: vercel. Kind: CHAT. Context window: 300,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.8 in / $3.2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 7 · math 7 (cited from Artificial Analysis — verify at the source). Cited speed: 131.45 tokens/s · 1.07s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text, video. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Knowledge cutoff: 2024-10. Release date: 2024-12-03. Sources: artificial-analysis, committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vercel/amazon-nova-pro.html"}
{"id":"anthropic/claude-3.5-haiku","label":"Claude 3.5 Haiku (via Vercel)","kind":"CHAT","contextWindow":200000,"maxOutputTokens":8192,"capabilities":["tools","vision"],"modalities":{"input":["image","text"]},"pricing":{"inputPer1M":0.8,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","overrides"],"lastVerified":"2026-11-05","vendor":"vercel","ref":"vercel/anthropic/claude-3.5-haiku","title":"Claude 3.5 Haiku (via Vercel)","abstract":"Claude 3.5 Haiku (via Vercel) (anthropic/claude-3.5-haiku) is a chat model from vercel with a 200K-token context window; capabilities tools, vision; input image, text.","text":"Claude 3.5 Haiku (via Vercel) (anthropic/claude-3.5-haiku) is a chat model from vercel with a 200K-token context window; capabilities tools, vision; input image, text. Vendor: vercel. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.8 in / $4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Capabilities: tools, vision. Sources: litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vercel/anthropic-claude-3.5-haiku.html"}
{"id":"cohere/command-a","label":"Command A (via Vercel)","kind":"CHAT","contextWindow":256000,"maxOutputTokens":8000,"capabilities":["tools"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-08-31","releaseDate":"2025-03-13","pricing":{"inputPer1M":2.5,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":7.7,"scores":{"math":{"value":13}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":55.482,"latencyTtftSec":0.494,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"sources":["committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"vercel","ref":"vercel/cohere/command-a","title":"Command A (via Vercel)","abstract":"Command A (via Vercel) (cohere/command-a) is a chat model from vercel with a 256K-token context window; open-weight; capabilities tools; input text; output text.","text":"Command A (via Vercel) (cohere/command-a) is a chat model from vercel with a 256K-token context window; open-weight; capabilities tools; input text; output text. Vendor: vercel. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 8,000 tokens. Indicative price (US list): $2.5 in / $10 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 7.7 · math 13 (cited from Artificial Analysis — verify at the source). Cited speed: 55.482 tokens/s · 0.494s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools. Weights: Open-weight. Knowledge cutoff: 2024-08-31. Release date: 2025-03-13. Sources: committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vercel/cohere-command-a.html"}
{"id":"deepseek/deepseek-r1","label":"DeepSeek-R1 (via Vercel)","kind":"CHAT","contextWindow":128000,"maxOutputTokens":8192,"capabilities":["reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2024-07","releaseDate":"2025-01-20","pricing":{"inputPer1M":0.55,"outputPer1M":2.19,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"vercel","ref":"vercel/deepseek/deepseek-r1","title":"DeepSeek-R1 (via Vercel)","abstract":"DeepSeek-R1 (via Vercel) (deepseek/deepseek-r1) is a chat model from vercel with a 128K-token context window; open-weight; capabilities reasoning; input text; output text.","text":"DeepSeek-R1 (via Vercel) (deepseek/deepseek-r1) is a chat model from vercel with a 128K-token context window; open-weight; capabilities reasoning; input text; output text. Vendor: vercel. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.55 in / $2.19 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: reasoning. Weights: Open-weight. Knowledge cutoff: 2024-07. Release date: 2025-01-20. Sources: litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vercel/deepseek-deepseek-r1.html"}
{"id":"google/gemini-2.0-flash","label":"Gemini 2.0 Flash (via Vercel)","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":8192,"capabilities":["tools","vision"],"modalities":{"input":["image","text"]},"pricing":{"inputPer1M":0.15,"outputPer1M":0.6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"vercel","ref":"vercel/google/gemini-2.0-flash","title":"Gemini 2.0 Flash (via Vercel)","abstract":"Gemini 2.0 Flash (via Vercel) (google/gemini-2.0-flash) is a chat model from vercel with a 1.0M-token context window; capabilities tools, vision; input image, text.","text":"Gemini 2.0 Flash (via Vercel) (google/gemini-2.0-flash) is a chat model from vercel with a 1.0M-token context window; capabilities tools, vision; input image, text. Vendor: vercel. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.15 in / $0.6 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, text. Capabilities: tools, vision. Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vercel/google-gemini-2.0-flash.html"}
{"id":"gemini-1.5-pro","label":"Gemini 1.5 Pro","kind":"CHAT","contextWindow":2097152,"capabilities":["vision","tools"],"sources":["committed"],"lastVerified":"2026-11-05","vendor":"vertex-ai","ref":"vertex-ai/gemini-1.5-pro","title":"Gemini 1.5 Pro","abstract":"Gemini 1.5 Pro (gemini-1.5-pro) is a chat model from vertex-ai with a 2.1M-token context window; capabilities vision, tools.","text":"Gemini 1.5 Pro (gemini-1.5-pro) is a chat model from vertex-ai with a 2.1M-token context window; capabilities vision, tools. Vendor: vertex-ai. Kind: CHAT. Context window: 2,097,152 tokens. Capabilities: vision, tools. Sources: committed. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vertex-ai/gemini-1.5-pro.html"}
{"id":"gemini-2.0-flash","label":"Gemini 2.0 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":8192,"capabilities":["vision","tools"],"modalities":{"input":["audio","image","text","video"],"output":["image","text"]},"pricing":{"inputPer1M":0.1,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"vertex-ai","ref":"vertex-ai/gemini-2.0-flash","title":"Gemini 2.0 Flash","abstract":"Gemini 2.0 Flash (gemini-2.0-flash) is a chat model from vertex-ai with a 1.0M-token context window; capabilities vision, tools; input audio, image, text, video; output image, text.","text":"Gemini 2.0 Flash (gemini-2.0-flash) is a chat model from vertex-ai with a 1.0M-token context window; capabilities vision, tools; input audio, image, text, video; output image, text. Vendor: vertex-ai. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 8,192 tokens. Indicative price (US list): $0.1 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, text, video. Output modalities: image, text. Capabilities: vision, tools. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vertex-ai/gemini-2.0-flash.html"}
{"id":"gemini-2.5-flash","label":"Gemini 2.5 Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65535,"capabilities":["vision","tools","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-06-17","pricing":{"inputPer1M":0.3,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"vertex-ai","ref":"vertex-ai/gemini-2.5-flash","title":"Gemini 2.5 Flash","abstract":"Gemini 2.5 Flash (gemini-2.5-flash) is a chat model from vertex-ai with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 2.5 Flash (gemini-2.5-flash) is a chat model from vertex-ai with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output text. Vendor: vertex-ai. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,535 tokens. Indicative price (US list): $0.3 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: vision, tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-06-17. Sources: committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vertex-ai/gemini-2.5-flash.html"}
{"id":"gemini-2.5-pro","label":"Gemini 2.5 Pro","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":65535,"capabilities":["vision","tools","reasoning"],"openWeights":false,"modalities":{"input":["audio","image","pdf","text","video"],"output":["text"]},"knowledgeCutoff":"2025-01","releaseDate":"2025-06-17","pricing":{"inputPer1M":1.25,"outputPer1M":10,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"vertex-ai","ref":"vertex-ai/gemini-2.5-pro","title":"Gemini 2.5 Pro","abstract":"Gemini 2.5 Pro (gemini-2.5-pro) is a chat model from vertex-ai with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output text.","text":"Gemini 2.5 Pro (gemini-2.5-pro) is a chat model from vertex-ai with a 1.0M-token context window; proprietary (API-only); capabilities vision, tools, reasoning; input audio, image, pdf, text, video; output text. Vendor: vertex-ai. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 65,535 tokens. Indicative price (US list): $1.25 in / $10 out per 1M tokens (indicative US list — verify with vendor). Input modalities: audio, image, pdf, text, video. Output modalities: text. Capabilities: vision, tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-01. Release date: 2025-06-17. Sources: committed, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vertex-ai/gemini-2.5-pro.html"}
{"id":"text-embedding-005","label":"text-embedding-005","kind":"EMBEDDING","contextWindow":2048,"embeddingDimensions":768,"modalities":{"input":["text"],"output":["embedding"]},"pricing":{"inputPer1M":0.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"vertex-ai","ref":"vertex-ai/text-embedding-005","title":"text-embedding-005","abstract":"text-embedding-005 (text-embedding-005) is a embedding model from vertex-ai with a 2.0K-token context window; 768-dimensional embeddings; input text; output embedding.","text":"text-embedding-005 (text-embedding-005) is a embedding model from vertex-ai with a 2.0K-token context window; 768-dimensional embeddings; input text; output embedding. Vendor: vertex-ai. Kind: EMBEDDING. Context window: 2,048 tokens. Embedding dimensions: 768. Indicative price (US list): $0.1 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/vertex-ai/text-embedding-005.html"}
{"id":"doubao-seedance-2-0-260128","label":"doubao-seedance-2-0-260128","kind":"VIDEO","modalities":{"input":["audio","image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"volcengine","ref":"volcengine/doubao-seedance-2-0-260128","title":"doubao-seedance-2-0-260128","abstract":"doubao-seedance-2-0-260128 (doubao-seedance-2-0-260128) is a video model from volcengine; input audio, image, text, video; output video.","text":"doubao-seedance-2-0-260128 (doubao-seedance-2-0-260128) is a video model from volcengine; input audio, image, text, video; output video. Vendor: volcengine. Kind: VIDEO. Input modalities: audio, image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/volcengine/doubao-seedance-2-0-260128.html"}
{"id":"doubao-seedance-2-0-fast-260128","label":"doubao-seedance-2-0-fast-260128","kind":"VIDEO","modalities":{"input":["audio","image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"volcengine","ref":"volcengine/doubao-seedance-2-0-fast-260128","title":"doubao-seedance-2-0-fast-260128","abstract":"doubao-seedance-2-0-fast-260128 (doubao-seedance-2-0-fast-260128) is a video model from volcengine; input audio, image, text, video; output video.","text":"doubao-seedance-2-0-fast-260128 (doubao-seedance-2-0-fast-260128) is a video model from volcengine; input audio, image, text, video; output video. Vendor: volcengine. Kind: VIDEO. Input modalities: audio, image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/volcengine/doubao-seedance-2-0-fast-260128.html"}
{"id":"doubao-seedance-2-0-mini-260615","label":"doubao-seedance-2-0-mini-260615","kind":"VIDEO","modalities":{"input":["image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"volcengine","ref":"volcengine/doubao-seedance-2-0-mini-260615","title":"doubao-seedance-2-0-mini-260615","abstract":"doubao-seedance-2-0-mini-260615 (doubao-seedance-2-0-mini-260615) is a video model from volcengine; input image, text; output video.","text":"doubao-seedance-2-0-mini-260615 (doubao-seedance-2-0-mini-260615) is a video model from volcengine; input image, text; output video. Vendor: volcengine. Kind: VIDEO. Input modalities: image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/volcengine/doubao-seedance-2-0-mini-260615.html"}
{"id":"doubao-seedance-2-5-260628","label":"doubao-seedance-2-5-260628","kind":"VIDEO","modalities":{"input":["audio","image","text","video"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"volcengine","ref":"volcengine/doubao-seedance-2-5-260628","title":"doubao-seedance-2-5-260628","abstract":"doubao-seedance-2-5-260628 (doubao-seedance-2-5-260628) is a video model from volcengine; input audio, image, text, video; output video.","text":"doubao-seedance-2-5-260628 (doubao-seedance-2-5-260628) is a video model from volcengine; input audio, image, text, video; output video. Vendor: volcengine. Kind: VIDEO. Input modalities: audio, image, text, video. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/volcengine/doubao-seedance-2-5-260628.html"}
{"id":"voyage-3","label":"voyage-3","kind":"EMBEDDING","contextWindow":32000,"embeddingDimensions":1024,"modalities":{"input":["text"],"output":["embedding"]},"pricing":{"inputPer1M":0.06,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"voyage","ref":"voyage/voyage-3","title":"voyage-3","abstract":"voyage-3 (voyage-3) is a embedding model from voyage with a 32K-token context window; 1,024-dimensional embeddings; input text; output embedding.","text":"voyage-3 (voyage-3) is a embedding model from voyage with a 32K-token context window; 1,024-dimensional embeddings; input text; output embedding. Vendor: voyage. Kind: EMBEDDING. Context window: 32,000 tokens. Embedding dimensions: 1,024. Indicative price (US list): $0.06 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/voyage/voyage-3.html"}
{"id":"voyage-3-large","label":"voyage-3-large","kind":"EMBEDDING","contextWindow":32000,"embeddingDimensions":1024,"modalities":{"input":["text"],"output":["embedding"]},"pricing":{"inputPer1M":0.18,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"voyage","ref":"voyage/voyage-3-large","title":"voyage-3-large","abstract":"voyage-3-large (voyage-3-large) is a embedding model from voyage with a 32K-token context window; 1,024-dimensional embeddings; input text; output embedding.","text":"voyage-3-large (voyage-3-large) is a embedding model from voyage with a 32K-token context window; 1,024-dimensional embeddings; input text; output embedding. Vendor: voyage. Kind: EMBEDDING. Context window: 32,000 tokens. Embedding dimensions: 1,024. Indicative price (US list): $0.18 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/voyage/voyage-3-large.html"}
{"id":"voyage-3-lite","label":"voyage-3-lite","kind":"EMBEDDING","contextWindow":32000,"embeddingDimensions":512,"modalities":{"input":["text"],"output":["embedding"]},"pricing":{"inputPer1M":0.02,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"voyage","ref":"voyage/voyage-3-lite","title":"voyage-3-lite","abstract":"voyage-3-lite (voyage-3-lite) is a embedding model from voyage with a 32K-token context window; 512-dimensional embeddings; input text; output embedding.","text":"voyage-3-lite (voyage-3-lite) is a embedding model from voyage with a 32K-token context window; 512-dimensional embeddings; input text; output embedding. Vendor: voyage. Kind: EMBEDDING. Context window: 32,000 tokens. Embedding dimensions: 512. Indicative price (US list): $0.02 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/voyage/voyage-3-lite.html"}
{"id":"voyage-code-3","label":"voyage-code-3","kind":"EMBEDDING","contextWindow":32000,"embeddingDimensions":1024,"modalities":{"input":["text"],"output":["embedding"]},"pricing":{"inputPer1M":0.18,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"voyage","ref":"voyage/voyage-code-3","title":"voyage-code-3","abstract":"voyage-code-3 (voyage-code-3) is a embedding model from voyage with a 32K-token context window; 1,024-dimensional embeddings; input text; output embedding.","text":"voyage-code-3 (voyage-code-3) is a embedding model from voyage with a 32K-token context window; 1,024-dimensional embeddings; input text; output embedding. Vendor: voyage. Kind: EMBEDDING. Context window: 32,000 tokens. Embedding dimensions: 1,024. Indicative price (US list): $0.18 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/voyage/voyage-code-3.html"}
{"id":"voyage-multimodal-3","label":"voyage-multimodal-3","kind":"EMBEDDING","contextWindow":32000,"embeddingDimensions":1024,"capabilities":["multimodal"],"modalities":{"input":["text"],"output":["embedding"]},"pricing":{"inputPer1M":0.12,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"voyage","ref":"voyage/voyage-multimodal-3","title":"voyage-multimodal-3","abstract":"voyage-multimodal-3 (voyage-multimodal-3) is a embedding model from voyage with a 32K-token context window; 1,024-dimensional embeddings; capabilities multimodal; input text; output embedding.","text":"voyage-multimodal-3 (voyage-multimodal-3) is a embedding model from voyage with a 32K-token context window; 1,024-dimensional embeddings; capabilities multimodal; input text; output embedding. Vendor: voyage. Kind: EMBEDDING. Context window: 32,000 tokens. Embedding dimensions: 1,024. Indicative price (US list): $0.12 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: embedding. Capabilities: multimodal. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/voyage/voyage-multimodal-3.html"}
{"id":"rerank-2","label":"rerank-2","kind":"RERANK","contextWindow":16000,"maxOutputTokens":16000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.05,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"voyage","ref":"voyage/rerank-2","title":"rerank-2","abstract":"rerank-2 (rerank-2) is a rerank model from voyage with a 16K-token context window; input text.","text":"rerank-2 (rerank-2) is a rerank model from voyage with a 16K-token context window; input text. Vendor: voyage. Kind: RERANK. Context window: 16,000 tokens. Max output tokens: 16,000 tokens. Indicative price (US list): $0.05 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/voyage/rerank-2.html"}
{"id":"rerank-2-lite","label":"rerank-2-lite","kind":"RERANK","contextWindow":8000,"maxOutputTokens":8000,"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.02,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"voyage","ref":"voyage/rerank-2-lite","title":"rerank-2-lite","abstract":"rerank-2-lite (rerank-2-lite) is a rerank model from voyage with a 8K-token context window; input text.","text":"rerank-2-lite (rerank-2-lite) is a rerank model from voyage with a 8K-token context window; input text. Vendor: voyage. Kind: RERANK. Context window: 8,000 tokens. Max output tokens: 8,000 tokens. Indicative price (US list): $0.02 in per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/voyage/rerank-2-lite.html"}
{"id":"grok-3","label":"Grok 3","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["text"]},"pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":12.1,"scores":{"math":{"value":58}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":79.32,"latencyTtftSec":1.74,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","overrides"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-3","title":"Grok 3","abstract":"Grok 3 (grok-3) is a chat model from xai with a 131.1K-token context window; proprietary (API-only); capabilities tools; input text.","text":"Grok 3 (grok-3) is a chat model from xai with a 131.1K-token context window; proprietary (API-only); capabilities tools; input text. Vendor: xai. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 12.1 · math 58 (cited from Artificial Analysis — verify at the source). Cited speed: 79.32 tokens/s · 1.74s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Sources: artificial-analysis, committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-3.html"}
{"id":"grok-3-mini","label":"Grok 3 Mini","kind":"CHAT","contextWindow":131072,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"]},"pricing":{"inputPer1M":0.3,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"sources":["committed","overrides"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-3-mini","title":"Grok 3 Mini","abstract":"Grok 3 Mini (grok-3-mini) is a chat model from xai with a 131.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text.","text":"Grok 3 Mini (grok-3-mini) is a chat model from xai with a 131.1K-token context window; proprietary (API-only); capabilities tools, reasoning; input text. Vendor: xai. Kind: CHAT. Context window: 131,072 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.3 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Sources: committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-3-mini.html"}
{"id":"grok-4","label":"Grok 4","kind":"CHAT","contextWindow":256000,"maxOutputTokens":256000,"capabilities":["tools"],"openWeights":false,"modalities":{"input":["text"]},"pricing":{"inputPer1M":3,"outputPer1M":15,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":22.5,"scores":{"math":{"value":92.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"performance":{"throughputTps":71.64,"latencyTtftSec":12.68,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","overrides"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-4","title":"Grok 4","abstract":"Grok 4 (grok-4) is a chat model from xai with a 256K-token context window; proprietary (API-only); capabilities tools; input text.","text":"Grok 4 (grok-4) is a chat model from xai with a 256K-token context window; proprietary (API-only); capabilities tools; input text. Vendor: xai. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 256,000 tokens. Indicative price (US list): $3 in / $15 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 22.5 · math 92.7 (cited from Artificial Analysis — verify at the source). Cited speed: 71.64 tokens/s · 12.68s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Capabilities: tools. Weights: Proprietary (API-only). Sources: artificial-analysis, committed, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-4.html"}
{"id":"grok-4.20-0309-non-reasoning","label":"Grok 4.20 (Non-Reasoning)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":1000000,"capabilities":["tools","vision"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-03-09","pricing":{"inputPer1M":1.25,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-4.20-0309-non-reasoning","title":"Grok 4.20 (Non-Reasoning)","abstract":"Grok 4.20 (Non-Reasoning) (grok-4.20-0309-non-reasoning) is a chat model from xai with a 1M-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text.","text":"Grok 4.20 (Non-Reasoning) (grok-4.20-0309-non-reasoning) is a chat model from xai with a 1M-token context window; proprietary (API-only); capabilities tools, vision; input image, pdf, text; output text. Vendor: xai. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 1,000,000 tokens. Indicative price (US list): $1.25 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision. Weights: Proprietary (API-only). Release date: 2026-03-09. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-4.20-0309-non-reasoning.html"}
{"id":"grok-4.20-0309-reasoning","label":"Grok 4.20 (Reasoning)","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":1000000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-03-09","pricing":{"inputPer1M":1.25,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-4.20-0309-reasoning","title":"Grok 4.20 (Reasoning)","abstract":"Grok 4.20 (Reasoning) (grok-4.20-0309-reasoning) is a chat model from xai with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Grok 4.20 (Reasoning) (grok-4.20-0309-reasoning) is a chat model from xai with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: xai. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 1,000,000 tokens. Indicative price (US list): $1.25 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-03-09. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-4.20-0309-reasoning.html"}
{"id":"grok-4.20-multi-agent-0309","label":"Grok 4.20 Multi-Agent","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":1000000,"capabilities":["vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-03-09","pricing":{"inputPer1M":1.25,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-4.20-multi-agent-0309","title":"Grok 4.20 Multi-Agent","abstract":"Grok 4.20 Multi-Agent (grok-4.20-multi-agent-0309) is a chat model from xai with a 1M-token context window; proprietary (API-only); capabilities vision, reasoning; input image, pdf, text; output text.","text":"Grok 4.20 Multi-Agent (grok-4.20-multi-agent-0309) is a chat model from xai with a 1M-token context window; proprietary (API-only); capabilities vision, reasoning; input image, pdf, text; output text. Vendor: xai. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 1,000,000 tokens. Indicative price (US list): $1.25 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-03-09. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-4.20-multi-agent-0309.html"}
{"id":"grok-4.3","label":"Grok 4.3","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":1000000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-04-17","pricing":{"inputPer1M":1.25,"outputPer1M":2.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":84.94,"latencyTtftSec":27.31,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-4.3","title":"Grok 4.3","abstract":"Grok 4.3 (grok-4.3) is a chat model from xai with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Grok 4.3 (grok-4.3) is a chat model from xai with a 1M-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: xai. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 1,000,000 tokens. Indicative price (US list): $1.25 in / $2.5 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 84.94 tokens/s · 27.31s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-04-17. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-4.3.html"}
{"id":"grok-4.5","label":"Grok 4.5","kind":"CHAT","contextWindow":500000,"maxOutputTokens":500000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-07-08","pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":50.22,"latencyTtftSec":13.46,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-4.5","title":"Grok 4.5","abstract":"Grok 4.5 (grok-4.5) is a chat model from xai with a 500K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Grok 4.5 (grok-4.5) is a chat model from xai with a 500K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: xai. Kind: CHAT. Context window: 500,000 tokens. Max output tokens: 500,000 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 50.22 tokens/s · 13.46s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-07-08. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-4.5.html"}
{"id":"grok-4.6","label":"Grok 4.6","kind":"CHAT","contextWindow":500000,"maxOutputTokens":500000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-02-01","releaseDate":"2026-08-12","pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":56.97,"latencyTtftSec":37.01,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-4.6","title":"Grok 4.6","abstract":"Grok 4.6 (grok-4.6) is a chat model from xai with a 500K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Grok 4.6 (grok-4.6) is a chat model from xai with a 500K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: xai. Kind: CHAT. Context window: 500,000 tokens. Max output tokens: 500,000 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 56.97 tokens/s · 37.01s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-02-01. Release date: 2026-08-12. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-4.6.html"}
{"id":"grok-4.7","label":"Grok 4.7","kind":"CHAT","contextWindow":500000,"maxOutputTokens":500000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"knowledgeCutoff":"2026-05","releaseDate":"2026-09-21","pricing":{"inputPer1M":2,"outputPer1M":6,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":35.5,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":72.2,"latencyTtftSec":102.56,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-4.7","title":"Grok 4.7","abstract":"Grok 4.7 (grok-4.7) is a chat model from xai with a 500K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Grok 4.7 (grok-4.7) is a chat model from xai with a 500K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: xai. Kind: CHAT. Context window: 500,000 tokens. Max output tokens: 500,000 tokens. Indicative price (US list): $2 in / $6 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 35.5 (cited from Artificial Analysis — verify at the source). Cited speed: 72.2 tokens/s · 102.56s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2026-05. Release date: 2026-09-21. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-4.7.html"}
{"id":"grok-build-0.1","label":"Grok Build 0.1","kind":"CHAT","contextWindow":256000,"maxOutputTokens":256000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text"],"output":["text"]},"releaseDate":"2026-04-16","pricing":{"inputPer1M":1,"outputPer1M":2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-build-0.1","title":"Grok Build 0.1","abstract":"Grok Build 0.1 (grok-build-0.1) is a chat model from xai with a 256K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text.","text":"Grok Build 0.1 (grok-build-0.1) is a chat model from xai with a 256K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text; output text. Vendor: xai. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 256,000 tokens. Indicative price (US list): $1 in / $2 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-04-16. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-build-0.1.html"}
{"id":"grok-code-fast-1","label":"Grok Code Fast 1","kind":"CHAT","contextWindow":256000,"maxOutputTokens":256000,"capabilities":["tools","reasoning","vision"],"openWeights":false,"modalities":{"input":["image","text"]},"pricing":{"inputPer1M":0.2,"outputPer1M":1.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":14.1,"scores":{"math":{"value":43.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","litellm","overrides"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-code-fast-1","title":"Grok Code Fast 1","abstract":"Grok Code Fast 1 (grok-code-fast-1) is a chat model from xai with a 256K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text.","text":"Grok Code Fast 1 (grok-code-fast-1) is a chat model from xai with a 256K-token context window; proprietary (API-only); capabilities tools, reasoning, vision; input image, text. Vendor: xai. Kind: CHAT. Context window: 256,000 tokens. Max output tokens: 256,000 tokens. Indicative price (US list): $0.2 in / $1.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 14.1 · math 43.3 (cited from Artificial Analysis — verify at the source). Input modalities: image, text. Capabilities: tools, reasoning, vision. Weights: Proprietary (API-only). Sources: committed, litellm, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-code-fast-1.html"}
{"id":"1024-x-1024/grok-imagine-image-2.0","label":"1024-x-1024/grok-imagine-image-2.0","kind":"IMAGE","modalities":{"input":["image","text"],"output":["image"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/1024-x-1024/grok-imagine-image-2.0","title":"1024-x-1024/grok-imagine-image-2.0","abstract":"1024-x-1024/grok-imagine-image-2.0 (1024-x-1024/grok-imagine-image-2.0) is a image model from xai; input image, text; output image.","text":"1024-x-1024/grok-imagine-image-2.0 (1024-x-1024/grok-imagine-image-2.0) is a image model from xai; input image, text; output image. Vendor: xai. Kind: IMAGE. Input modalities: image, text. Output modalities: image. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/1024-x-1024-grok-imagine-image-2.0.html"}
{"id":"grok-imagine-image","label":"Grok Imagine Image","kind":"IMAGE","contextWindow":16000,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image"]},"releaseDate":"2026-01-28","sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-image","title":"Grok Imagine Image","abstract":"Grok Imagine Image (grok-imagine-image) is a image model from xai with a 16K-token context window; proprietary (API-only); capabilities vision; input image, text; output image.","text":"Grok Imagine Image (grok-imagine-image) is a image model from xai with a 16K-token context window; proprietary (API-only); capabilities vision; input image, text; output image. Vendor: xai. Kind: IMAGE. Context window: 16,000 tokens. Input modalities: image, text. Output modalities: image. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-01-28. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-image.html"}
{"id":"grok-imagine-image-2.0","label":"grok-imagine-image-2.0","kind":"IMAGE","modalities":{"input":["image","text"],"output":["image"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-image-2.0","title":"grok-imagine-image-2.0","abstract":"grok-imagine-image-2.0 (grok-imagine-image-2.0) is a image model from xai; input image, text; output image.","text":"grok-imagine-image-2.0 (grok-imagine-image-2.0) is a image model from xai; input image, text; output image. Vendor: xai. Kind: IMAGE. Input modalities: image, text. Output modalities: image. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-image-2.0.html"}
{"id":"grok-imagine-image-2026-03-02","label":"grok-imagine-image-2026-03-02","kind":"IMAGE","modalities":{"input":["image","text"],"output":["image"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-image-2026-03-02","title":"grok-imagine-image-2026-03-02","abstract":"grok-imagine-image-2026-03-02 (grok-imagine-image-2026-03-02) is a image model from xai; input image, text; output image.","text":"grok-imagine-image-2026-03-02 (grok-imagine-image-2026-03-02) is a image model from xai; input image, text; output image. Vendor: xai. Kind: IMAGE. Input modalities: image, text. Output modalities: image. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-image-2026-03-02.html"}
{"id":"grok-imagine-image-pro","label":"grok-imagine-image-pro","kind":"IMAGE","modalities":{"input":["image","text"],"output":["image"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-image-pro","title":"grok-imagine-image-pro","abstract":"grok-imagine-image-pro (grok-imagine-image-pro) is a image model from xai; input image, text; output image.","text":"grok-imagine-image-pro (grok-imagine-image-pro) is a image model from xai; input image, text; output image. Vendor: xai. Kind: IMAGE. Input modalities: image, text. Output modalities: image. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-image-pro.html"}
{"id":"grok-imagine-image-quality","label":"Grok Imagine Image Quality","kind":"IMAGE","contextWindow":16000,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["image"]},"releaseDate":"2026-04-03","sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-image-quality","title":"Grok Imagine Image Quality","abstract":"Grok Imagine Image Quality (grok-imagine-image-quality) is a image model from xai with a 16K-token context window; proprietary (API-only); capabilities vision; input image, text; output image.","text":"Grok Imagine Image Quality (grok-imagine-image-quality) is a image model from xai with a 16K-token context window; proprietary (API-only); capabilities vision; input image, text; output image. Vendor: xai. Kind: IMAGE. Context window: 16,000 tokens. Input modalities: image, text. Output modalities: image. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-04-03. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-image-quality.html"}
{"id":"grok-imagine-image-quality-20260403","label":"grok-imagine-image-quality-20260403","kind":"IMAGE","modalities":{"input":["image","text"],"output":["image"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-image-quality-20260403","title":"grok-imagine-image-quality-20260403","abstract":"grok-imagine-image-quality-20260403 (grok-imagine-image-quality-20260403) is a image model from xai; input image, text; output image.","text":"grok-imagine-image-quality-20260403 (grok-imagine-image-quality-20260403) is a image model from xai; input image, text; output image. Vendor: xai. Kind: IMAGE. Input modalities: image, text. Output modalities: image. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-image-quality-20260403.html"}
{"id":"grok-imagine-image-quality-latest","label":"grok-imagine-image-quality-latest","kind":"IMAGE","modalities":{"input":["image","text"],"output":["image"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-image-quality-latest","title":"grok-imagine-image-quality-latest","abstract":"grok-imagine-image-quality-latest (grok-imagine-image-quality-latest) is a image model from xai; input image, text; output image.","text":"grok-imagine-image-quality-latest (grok-imagine-image-quality-latest) is a image model from xai; input image, text; output image. Vendor: xai. Kind: IMAGE. Input modalities: image, text. Output modalities: image. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-image-quality-latest.html"}
{"id":"grok-imagine-video","label":"Grok Imagine Video","kind":"VIDEO","contextWindow":1024,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text","video"],"output":["video"]},"releaseDate":"2026-01-28","sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-video","title":"Grok Imagine Video","abstract":"Grok Imagine Video (grok-imagine-video) is a video model from xai with a 1.0K-token context window; proprietary (API-only); capabilities vision; input image, text, video; output video.","text":"Grok Imagine Video (grok-imagine-video) is a video model from xai with a 1.0K-token context window; proprietary (API-only); capabilities vision; input image, text, video; output video. Vendor: xai. Kind: VIDEO. Context window: 1,024 tokens. Input modalities: image, text, video. Output modalities: video. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-01-28. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-video.html"}
{"id":"grok-imagine-video-1.5","label":"Grok Imagine Video 1.5","kind":"VIDEO","contextWindow":1024,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["audio","image","text"],"output":["video"]},"releaseDate":"2026-05-30","sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-video-1.5","title":"Grok Imagine Video 1.5","abstract":"Grok Imagine Video 1.5 (grok-imagine-video-1.5) is a video model from xai with a 1.0K-token context window; proprietary (API-only); capabilities vision; input audio, image, text; output video.","text":"Grok Imagine Video 1.5 (grok-imagine-video-1.5) is a video model from xai with a 1.0K-token context window; proprietary (API-only); capabilities vision; input audio, image, text; output video. Vendor: xai. Kind: VIDEO. Context window: 1,024 tokens. Input modalities: audio, image, text. Output modalities: video. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-05-30. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-video-1.5.html"}
{"id":"grok-imagine-video-1.5-2026-05-30","label":"grok-imagine-video-1.5-2026-05-30","kind":"VIDEO","modalities":{"input":["audio","image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-video-1.5-2026-05-30","title":"grok-imagine-video-1.5-2026-05-30","abstract":"grok-imagine-video-1.5-2026-05-30 (grok-imagine-video-1.5-2026-05-30) is a video model from xai; input audio, image, text; output video.","text":"grok-imagine-video-1.5-2026-05-30 (grok-imagine-video-1.5-2026-05-30) is a video model from xai; input audio, image, text; output video. Vendor: xai. Kind: VIDEO. Input modalities: audio, image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-video-1.5-2026-05-30.html"}
{"id":"grok-imagine-video-1.5-lite","label":"Grok Imagine Video 1.5 Lite","kind":"VIDEO","contextWindow":1024,"capabilities":["vision"],"openWeights":false,"modalities":{"input":["image","text"],"output":["video"]},"releaseDate":"2026-10-01","sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-video-1.5-lite","title":"Grok Imagine Video 1.5 Lite","abstract":"Grok Imagine Video 1.5 Lite (grok-imagine-video-1.5-lite) is a video model from xai with a 1.0K-token context window; proprietary (API-only); capabilities vision; input image, text; output video.","text":"Grok Imagine Video 1.5 Lite (grok-imagine-video-1.5-lite) is a video model from xai with a 1.0K-token context window; proprietary (API-only); capabilities vision; input image, text; output video. Vendor: xai. Kind: VIDEO. Context window: 1,024 tokens. Input modalities: image, text. Output modalities: video. Capabilities: vision. Weights: Proprietary (API-only). Release date: 2026-10-01. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-video-1.5-lite.html"}
{"id":"grok-imagine-video-1.5-preview","label":"grok-imagine-video-1.5-preview","kind":"VIDEO","modalities":{"input":["audio","image","text"],"output":["video"]},"sources":["committed","litellm"],"lastVerified":"2026-11-05","vendor":"xai","ref":"xai/grok-imagine-video-1.5-preview","title":"grok-imagine-video-1.5-preview","abstract":"grok-imagine-video-1.5-preview (grok-imagine-video-1.5-preview) is a video model from xai; input audio, image, text; output video.","text":"grok-imagine-video-1.5-preview (grok-imagine-video-1.5-preview) is a video model from xai; input audio, image, text; output video. Vendor: xai. Kind: VIDEO. Input modalities: audio, image, text. Output modalities: video. Sources: committed, litellm. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/xai/grok-imagine-video-1.5-preview.html"}
{"id":"glm-4.5","label":"GLM-4.5","kind":"CHAT","contextWindow":128000,"maxOutputTokens":32000,"capabilities":["tools","reasoning"],"openWeights":true,"parameters":355000000000,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-07-28","pricing":{"inputPer1M":0.6,"outputPer1M":2.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":12.8,"scores":{"math":{"value":73.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-09-26"},"sources":["committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-4.5","title":"GLM-4.5","abstract":"GLM-4.5 (glm-4.5) is a chat model from zai with a 128K-token context window; open-weight (355B parameters); capabilities tools, reasoning; input text; output text.","text":"GLM-4.5 (glm-4.5) is a chat model from zai with a 128K-token context window; open-weight (355B parameters); capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $0.6 in / $2.2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 12.8 · math 73.7 (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Parameters: 355B. Knowledge cutoff: 2025-04. Release date: 2025-07-28. Sources: committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-4.5.html"}
{"id":"glm-4.5-air","label":"GLM-4.5-Air","kind":"CHAT","contextWindow":128000,"maxOutputTokens":32000,"capabilities":["tools","reasoning"],"openWeights":true,"parameters":106000000000,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-07-28","pricing":{"inputPer1M":0.2,"outputPer1M":1.1,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":16.5,"scores":{"math":{"value":80.7}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":82.56,"latencyTtftSec":2.41,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-4.5-air","title":"GLM-4.5-Air","abstract":"GLM-4.5-Air (glm-4.5-air) is a chat model from zai with a 128K-token context window; open-weight (106B parameters); capabilities tools, reasoning; input text; output text.","text":"GLM-4.5-Air (glm-4.5-air) is a chat model from zai with a 128K-token context window; open-weight (106B parameters); capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $0.2 in / $1.1 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 16.5 · math 80.7 (cited from Artificial Analysis — verify at the source). Cited speed: 82.56 tokens/s · 2.41s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Parameters: 106B. Knowledge cutoff: 2025-04. Release date: 2025-07-28. Sources: artificial-analysis, committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-4.5-air.html"}
{"id":"glm-4.5-flash","label":"GLM-4.5-Flash","kind":"CHAT","contextWindow":128000,"maxOutputTokens":32000,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-07-28","sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-4.5-flash","title":"GLM-4.5-Flash","abstract":"GLM-4.5-Flash (glm-4.5-flash) is a chat model from zai with a 128K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"GLM-4.5-Flash (glm-4.5-flash) is a chat model from zai with a 128K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 32,000 tokens. Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Knowledge cutoff: 2025-04. Release date: 2025-07-28. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-4.5-flash.html"}
{"id":"glm-4.5v","label":"GLM-4.5V","kind":"CHAT","contextWindow":128000,"maxOutputTokens":32000,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-08-11","pricing":{"inputPer1M":0.6,"outputPer1M":1.8,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":66.4,"latencyTtftSec":3.42,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-4.5v","title":"GLM-4.5V","abstract":"GLM-4.5V (glm-4.5v) is a chat model from zai with a 128K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"GLM-4.5V (glm-4.5v) is a chat model from zai with a 128K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: zai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 32,000 tokens. Indicative price (US list): $0.6 in / $1.8 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 66.4 tokens/s · 3.42s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2025-08-11. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-4.5v.html"}
{"id":"glm-4.6","label":"GLM-4.6","kind":"CHAT","contextWindow":200000,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-09-30","pricing":{"inputPer1M":0.6,"outputPer1M":2.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-07-22"},"benchmarks":{"intelligenceIndex":23,"scores":{"math":{"value":44.3}},"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-07-24"},"performance":{"throughputTps":33.9,"latencyTtftSec":5.13,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","committed","litellm","models-dev","overrides"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-4.6","title":"GLM-4.6","abstract":"GLM-4.6 (glm-4.6) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-4.6 (glm-4.6) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.6 in / $2.2 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 23 · math 44.3 (cited from Artificial Analysis — verify at the source). Cited speed: 33.9 tokens/s · 5.13s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2025-09-30. Sources: artificial-analysis, committed, litellm, models-dev, overrides. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-4.6.html"}
{"id":"glm-4.6v","label":"GLM-4.6V","kind":"CHAT","contextWindow":128000,"maxOutputTokens":32768,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-12-08","pricing":{"inputPer1M":0.3,"outputPer1M":0.9,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"performance":{"throughputTps":74.57,"latencyTtftSec":3.92,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-4.6v","title":"GLM-4.6V","abstract":"GLM-4.6V (glm-4.6v) is a chat model from zai with a 128K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"GLM-4.6V (glm-4.6v) is a chat model from zai with a 128K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: zai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 32,768 tokens. Indicative price (US list): $0.3 in / $0.9 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 74.57 tokens/s · 3.92s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2025-12-08. Sources: artificial-analysis, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-4.6v.html"}
{"id":"glm-4.6v-flash","label":"GLM-4.6V-Flash","kind":"CHAT","contextWindow":128000,"maxOutputTokens":32768,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","text","video"],"output":["text"]},"releaseDate":"2025-12-08","sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-4.6v-flash","title":"GLM-4.6V-Flash","abstract":"GLM-4.6V-Flash (glm-4.6v-flash) is a chat model from zai with a 128K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text.","text":"GLM-4.6V-Flash (glm-4.6v-flash) is a chat model from zai with a 128K-token context window; open-weight; capabilities tools, vision, reasoning; input image, text, video; output text. Vendor: zai. Kind: CHAT. Context window: 128,000 tokens. Max output tokens: 32,768 tokens. Input modalities: image, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2025-12-08. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-4.6v-flash.html"}
{"id":"glm-4.7","label":"GLM-4.7","kind":"CHAT","contextWindow":200000,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2025-12-22","pricing":{"inputPer1M":0.6,"outputPer1M":2.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":37.22,"latencyTtftSec":2.82,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-4.7","title":"GLM-4.7","abstract":"GLM-4.7 (glm-4.7) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-4.7 (glm-4.7) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.6 in / $2.2 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 37.22 tokens/s · 2.82s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2025-12-22. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-4.7.html"}
{"id":"glm-4.7-flash","label":"GLM-4.7-Flash","kind":"CHAT","contextWindow":200000,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2026-01-19","performance":{"throughputTps":86.81,"latencyTtftSec":1.13,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-4.7-flash","title":"GLM-4.7-Flash","abstract":"GLM-4.7-Flash (glm-4.7-flash) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-4.7-Flash (glm-4.7-flash) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 128,000 tokens. Cited speed: 86.81 tokens/s · 1.13s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2026-01-19. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-4.7-flash.html"}
{"id":"glm-4.7-flashx","label":"GLM-4.7-FlashX","kind":"CHAT","contextWindow":200000,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"knowledgeCutoff":"2025-04","releaseDate":"2026-01-19","pricing":{"inputPer1M":0.07,"outputPer1M":0.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-4.7-flashx","title":"GLM-4.7-FlashX","abstract":"GLM-4.7-FlashX (glm-4.7-flashx) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-4.7-FlashX (glm-4.7-flashx) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.07 in / $0.4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Knowledge cutoff: 2025-04. Release date: 2026-01-19. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-4.7-flashx.html"}
{"id":"glm-5","label":"GLM-5","kind":"CHAT","contextWindow":200000,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-02-12","pricing":{"inputPer1M":1,"outputPer1M":3.2,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":52.1,"latencyTtftSec":1.43,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-5","title":"GLM-5","abstract":"GLM-5 (glm-5) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-5 (glm-5) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1 in / $3.2 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 52.1 tokens/s · 1.43s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-02-12. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-5.html"}
{"id":"glm-5-turbo","label":"GLM-5-Turbo","kind":"CHAT","contextWindow":200000,"maxOutputTokens":131072,"capabilities":["tools","reasoning"],"openWeights":false,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-03-16","pricing":{"inputPer1M":1.2,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-5-turbo","title":"GLM-5-Turbo","abstract":"GLM-5-Turbo (glm-5-turbo) is a chat model from zai with a 200K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text.","text":"GLM-5-Turbo (glm-5-turbo) is a chat model from zai with a 200K-token context window; proprietary (API-only); capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $1.2 in / $4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Proprietary (API-only). Release date: 2026-03-16. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-5-turbo.html"}
{"id":"glm-5.1","label":"GLM-5.1","kind":"CHAT","contextWindow":200000,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-04-07","pricing":{"inputPer1M":1.4,"outputPer1M":4.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":81.02,"latencyTtftSec":1.33,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-5.1","title":"GLM-5.1","abstract":"GLM-5.1 (glm-5.1) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-5.1 (glm-5.1) is a chat model from zai with a 200K-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.4 in / $4.4 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 81.02 tokens/s · 1.33s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-04-07. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-5.1.html"}
{"id":"glm-5.2","label":"GLM-5.2","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-06-13","pricing":{"inputPer1M":1.4,"outputPer1M":4.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"performance":{"throughputTps":80.52,"latencyTtftSec":1.64,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-5.2","title":"GLM-5.2","abstract":"GLM-5.2 (glm-5.2) is a chat model from zai with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-5.2 (glm-5.2) is a chat model from zai with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.4 in / $4.4 out per 1M tokens (indicative US list — verify with vendor). Cited speed: 80.52 tokens/s · 1.64s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-06-13. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-5.2.html"}
{"id":"glm-5.3","label":"GLM-5.3","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":128000,"capabilities":["tools","reasoning"],"openWeights":true,"modalities":{"input":["text"],"output":["text"]},"releaseDate":"2026-08-14","pricing":{"inputPer1M":1.4,"outputPer1M":4.4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":31.7,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":73.91,"latencyTtftSec":1.65,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-5.3","title":"GLM-5.3","abstract":"GLM-5.3 (glm-5.3) is a chat model from zai with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text.","text":"GLM-5.3 (glm-5.3) is a chat model from zai with a 1M-token context window; open-weight; capabilities tools, reasoning; input text; output text. Vendor: zai. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.4 in / $4.4 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 31.7 (cited from Artificial Analysis — verify at the source). Cited speed: 73.91 tokens/s · 1.65s to first token (cited from Artificial Analysis — verify at the source). Input modalities: text. Output modalities: text. Capabilities: tools, reasoning. Weights: Open-weight. Release date: 2026-08-14. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-5.3.html"}
{"id":"glm-5.3-flash","label":"GLM-5.3-Flash","kind":"CHAT","contextWindow":1048576,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-08-26","pricing":{"inputPer1M":0.15,"outputPer1M":0.5,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"benchmarks":{"intelligenceIndex":27.8,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"performance":{"throughputTps":66.56,"latencyTtftSec":1.45,"indicative":true,"note":"Cited third-party benchmark — verify at the source.","source":"Artificial Analysis","lastVerified":"2026-11-05"},"sources":["artificial-analysis","litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-5.3-flash","title":"GLM-5.3-Flash","abstract":"GLM-5.3-Flash (glm-5.3-flash) is a chat model from zai with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text, video; output text.","text":"GLM-5.3-Flash (glm-5.3-flash) is a chat model from zai with a 1.0M-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text, video; output text. Vendor: zai. Kind: CHAT. Context window: 1,048,576 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $0.15 in / $0.5 out per 1M tokens (indicative US list — verify with vendor). Cited capability index: intelligence index 27.8 (cited from Artificial Analysis — verify at the source). Cited speed: 66.56 tokens/s · 1.45s to first token (cited from Artificial Analysis — verify at the source). Input modalities: image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-08-26. Sources: artificial-analysis, litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-5.3-flash.html"}
{"id":"glm-5.3-flashx","label":"GLM-5.3-FlashX","kind":"CHAT","contextWindow":1000000,"maxOutputTokens":131072,"capabilities":["tools","vision","reasoning"],"openWeights":true,"modalities":{"input":["image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-09-18","pricing":{"inputPer1M":0.37,"outputPer1M":1.25,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"models-dev","lastVerified":"2026-10-30"},"sources":["models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-5.3-flashx","title":"GLM-5.3-FlashX","abstract":"GLM-5.3-FlashX (glm-5.3-flashx) is a chat model from zai with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text, video; output text.","text":"GLM-5.3-FlashX (glm-5.3-flashx) is a chat model from zai with a 1M-token context window; open-weight; capabilities tools, vision, reasoning; input image, pdf, text, video; output text. Vendor: zai. Kind: CHAT. Context window: 1,000,000 tokens. Max output tokens: 131,072 tokens. Indicative price (US list): $0.37 in / $1.25 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Open-weight. Release date: 2026-09-18. Sources: models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-5.3-flashx.html"}
{"id":"glm-5v-turbo","label":"GLM-5V-Turbo","kind":"CHAT","contextWindow":200000,"maxOutputTokens":128000,"capabilities":["tools","vision","reasoning"],"openWeights":false,"modalities":{"input":["image","pdf","text","video"],"output":["text"]},"releaseDate":"2026-04-01","pricing":{"inputPer1M":1.2,"outputPer1M":4,"currency":"USD","unit":"per_1M_tokens","indicative":true,"note":"Indicative US list price — verify with the vendor.","source":"litellm","lastVerified":"2026-10-30"},"sources":["litellm","models-dev"],"lastVerified":"2026-11-05","vendor":"zai","ref":"zai/glm-5v-turbo","title":"GLM-5V-Turbo","abstract":"GLM-5V-Turbo (glm-5v-turbo) is a chat model from zai with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text, video; output text.","text":"GLM-5V-Turbo (glm-5v-turbo) is a chat model from zai with a 200K-token context window; proprietary (API-only); capabilities tools, vision, reasoning; input image, pdf, text, video; output text. Vendor: zai. Kind: CHAT. Context window: 200,000 tokens. Max output tokens: 128,000 tokens. Indicative price (US list): $1.2 in / $4 out per 1M tokens (indicative US list — verify with vendor). Input modalities: image, pdf, text, video. Output modalities: text. Capabilities: tools, vision, reasoning. Weights: Proprietary (API-only). Release date: 2026-04-01. Sources: litellm, models-dev. Last verified: 2026-11-05.","url":"https://models.viglet.org/models/zai/glm-5v-turbo.html"}