{ "meta": { "directory": "models", "label": "Models", "blurb": "The intelligence layer — live model catalogue, pricing, context, and benchmarks.", "urlPrefix": "/directories/models", "detailUrl": "https://enterprisedna.co/directories/models", "count": 347, "generatedAt": "2026-07-10T04:52:39.179Z" }, "entries": [ { "slug": "ai21-jamba-large-1-7", "name": "Jamba Large 1.7", "vendor": "Ai21", "provider": "Ai21", "providerSlug": "ai21", "tagline": "Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer a", "description": "Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. 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It is particularly strong at introducing tension, crises, and conflict into stories, ma", "description": "Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, making narratives feel more engaging....", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "aion-labs" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/aion-labs/aion-2.0", "openRouterId": "aion-labs/aion-2.0", "modalities": [ "text" ], "contextWindow": 131072, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.8, "outputPerMtoken": 1.6, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "aion-labs/aion-2.0", "docsUrl": "https://openrouter.ai/aion-labs/aion-2.0" } ], "howToUse": "Call via OpenRouter with model id `aion-labs/aion-2.0`.", "family": "aion-2.0", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/aion-labs-aion-2-0" }, { "slug": "aion-labs-aion-3-0-mini", "name": "Aion-3.0-Mini", "vendor": "Aion Labs", "provider": "Aion Labs", "providerSlug": "aion-labs", "tagline": "Aion-3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of models. It uses a collaborative generation process in which multip", "description": "Aion-3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of models. 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It uses a collaborative generation process in which multiple special", "description": "Aion-3.0 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple specialized models each contribute...", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "aion-labs" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/aion-labs/aion-3.0", "openRouterId": "aion-labs/aion-3.0", "modalities": [ "text" ], "contextWindow": 131072, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 3, "outputPerMtoken": 6, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "aion-labs/aion-3.0", "docsUrl": "https://openrouter.ai/aion-labs/aion-3.0" } ], "howToUse": "Call via OpenRouter with model id `aion-labs/aion-3.0`.", "family": "aion-3.0", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/aion-labs-aion-3-0" }, { "slug": "aion-labs-aion-rp-llama-3-1-8b", "name": "Aion-RP 1.0 (8B)", "vendor": "Aion Labs", "provider": "Aion Labs", "providerSlug": "aion-labs", "tagline": "Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate eac", "description": "Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. 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Its capacity enab", "description": "Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and...", "categories": [ "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "allenai" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/allenai/olmo-3-32b-think", "openRouterId": "allenai/olmo-3-32b-think", "modalities": [ "text" ], "contextWindow": 65536, "maxOutputTokens": 65536, "pricing": { "inputPerMtoken": 0.15, "outputPerMtoken": 0.5, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "allenai/olmo-3-32b-think", "docsUrl": "https://openrouter.ai/allenai/olmo-3-32b-think" } ], "howToUse": "Call via OpenRouter with model id `allenai/olmo-3-32b-think`.", "family": "olmo-3-32b-think", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/allenai-olmo-3-32b-think" }, { "slug": "amazon-nova-lite-v1", "name": "Nova Lite 1.0", "vendor": "Amazon", "provider": "Amazon", "providerSlug": "amazon", "tagline": "Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...", "description": "Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...", "categories": [ "vision", "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "amazon" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/amazon/nova-lite-v1", "openRouterId": "amazon/nova-lite-v1", "modalities": [ "text", "vision" ], "contextWindow": 300000, "maxOutputTokens": 5120, "pricing": { "inputPerMtoken": 0.06, "outputPerMtoken": 0.24, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "amazon/nova-lite-v1", "docsUrl": "https://openrouter.ai/amazon/nova-lite-v1" } ], "howToUse": "Call via OpenRouter with model id `amazon/nova-lite-v1`.", "family": "nova-lite-v1", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/amazon-nova-lite-v1" }, { "slug": "amazon-nova-2-lite-v1", "name": "Nova 2 Lite", "vendor": "Amazon", "provider": "Amazon", "providerSlug": "amazon", "tagline": "Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilit", "description": "Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing...", "categories": [ "vision", "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "amazon" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/amazon/nova-2-lite-v1", "openRouterId": "amazon/nova-2-lite-v1", "modalities": [ "text", "vision", "video" ], "contextWindow": 1000000, "maxOutputTokens": 65535, "pricing": { "inputPerMtoken": 0.3, "outputPerMtoken": 2.5, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [ { "source": "artificial-analysis", "benchmark": "Intelligence Index", "score": 18.2, "unit": "index", "asOf": "2026-07-10", "url": "https://artificialanalysis.ai/leaderboards/models" }, { "source": "artificial-analysis", "benchmark": "Coding Index", "score": 23, "unit": "index", "asOf": "2026-07-10", "url": "https://artificialanalysis.ai/leaderboards/models" }, { "source": "artificial-analysis", "benchmark": "Agentic Index", "score": 3.1, "unit": "index", "asOf": "2026-07-10", "url": "https://artificialanalysis.ai/leaderboards/models" } ], "access": [ { "channel": "openrouter", "modelId": "amazon/nova-2-lite-v1", "docsUrl": "https://openrouter.ai/amazon/nova-2-lite-v1" } ], "howToUse": "Call via OpenRouter with model id `amazon/nova-2-lite-v1`.", "family": "nova-2-lite-v1", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/amazon-nova-2-lite-v1" }, { "slug": "amazon-nova-micro-v1", "name": "Nova Micro 1.0", "vendor": "Amazon", "provider": "Amazon", "providerSlug": "amazon", "tagline": "Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...", "description": "Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...", "categories": [ "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "amazon" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/amazon/nova-micro-v1", "openRouterId": "amazon/nova-micro-v1", "modalities": [ "text" ], "contextWindow": 128000, "maxOutputTokens": 5120, "pricing": { "inputPerMtoken": 0.035, "outputPerMtoken": 0.14, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "amazon/nova-micro-v1", "docsUrl": "https://openrouter.ai/amazon/nova-micro-v1" } ], "howToUse": "Call via OpenRouter with model id `amazon/nova-micro-v1`.", "family": "nova-micro-v1", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/amazon-nova-micro-v1" }, { "slug": "amazon-nova-premier-v1", "name": "Nova Premier 1.0", "vendor": "Amazon", "provider": "Amazon", "providerSlug": "amazon", "tagline": "Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.", "description": "Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.", "categories": [ "vision", "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "amazon" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/amazon/nova-premier-v1", "openRouterId": "amazon/nova-premier-v1", "modalities": [ "text", "vision" ], "contextWindow": 1000000, "maxOutputTokens": 32000, "pricing": { "inputPerMtoken": 2.5, "outputPerMtoken": 12.5, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [ { "source": "other", "benchmark": "Design Arena website", "score": 871, "unit": "elo", "rank": 110, "asOf": "2026-07-10" } ], "access": [ { "channel": "openrouter", "modelId": "amazon/nova-premier-v1", "docsUrl": "https://openrouter.ai/amazon/nova-premier-v1" } ], "howToUse": "Call via OpenRouter with model id `amazon/nova-premier-v1`.", "family": "nova-premier-v1", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/amazon-nova-premier-v1" }, { "slug": "amazon-nova-pro-v1", "name": "Nova Pro 1.0", "vendor": "Amazon", "provider": "Amazon", "providerSlug": "amazon", "tagline": "Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December...", "description": "Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December...", "categories": [ "vision", "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "amazon" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/amazon/nova-pro-v1", "openRouterId": "amazon/nova-pro-v1", "modalities": [ "text", "vision" ], "contextWindow": 300000, "maxOutputTokens": 5120, "pricing": { "inputPerMtoken": 0.8, "outputPerMtoken": 3.2, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [ { "source": "other", "benchmark": "Design Arena website", "score": 832, "unit": "elo", "rank": 113, "asOf": "2026-07-10" } ], "access": [ { "channel": "openrouter", "modelId": "amazon/nova-pro-v1", "docsUrl": "https://openrouter.ai/amazon/nova-pro-v1" } ], "howToUse": "Call via OpenRouter with model id `amazon/nova-pro-v1`.", "family": "nova-pro-v1", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/amazon-nova-pro-v1" }, { "slug": "anthracite-org-magnum-v4-72b", "name": "Magnum v4 72B", "vendor": "Anthracite Org", "provider": "Anthracite Org", "providerSlug": "anthracite-org", "tagline": "This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://o", "description": "This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus).\n\nThe model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).", "categories": [], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "anthracite-org" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/anthracite-org/magnum-v4-72b", "openRouterId": "anthracite-org/magnum-v4-72b", "modalities": [ "text" ], "contextWindow": 32768, "maxOutputTokens": 2048, "pricing": { "inputPerMtoken": 3, "outputPerMtoken": 5, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "anthracite-org/magnum-v4-72b", "docsUrl": "https://openrouter.ai/anthracite-org/magnum-v4-72b" } ], "howToUse": "Call via OpenRouter with model id `anthracite-org/magnum-v4-72b`.", "family": "magnum-v4-72b", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/anthracite-org-magnum-v4-72b" }, { "slug": "anthropic-claude-fable-5", "name": "Claude Fable 5", "vendor": "Anthropic", "provider": "Anthropic", "providerSlug": "anthropic", "tagline": "Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning sup", "description": "Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. 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Set min_coding_score between 0 and 1 on the [pareto-router plugin](https://openrouter.ai/docs/guides/routing/routers/pareto-router#the-min_coding_score-parameter) to control how...", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "openrouter" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/openrouter/pareto-code", "openRouterId": "openrouter/pareto-code", "modalities": [ "text" ], "contextWindow": 2000000, "pricing": { "inputPerMtoken": 0, "outputPerMtoken": 0, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "openrouter/pareto-code", "docsUrl": "https://openrouter.ai/openrouter/pareto-code" } ], "howToUse": "Call via OpenRouter with model id `openrouter/pareto-code`.", "family": "pareto-code", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/openrouter-pareto-code" }, { "slug": "perceptron-perceptron-mk1", "name": "Perceptron Mk1", "vendor": "Perceptron", "provider": "Perceptron", "providerSlug": "perceptron", "tagline": "Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language q", "description": "Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...", "categories": [ "vision", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "perceptron" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/perceptron/perceptron-mk1", "openRouterId": "perceptron/perceptron-mk1", "modalities": [ "text", "vision", "video" ], "contextWindow": 32768, "maxOutputTokens": 8192, "pricing": { "inputPerMtoken": 0.15, "outputPerMtoken": 1.5, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "perceptron/perceptron-mk1", "docsUrl": "https://openrouter.ai/perceptron/perceptron-mk1" } ], "howToUse": "Call via OpenRouter with model id `perceptron/perceptron-mk1`.", "family": "perceptron-mk1", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/perceptron-perceptron-mk1" }, { "slug": "openai-o4-mini", "name": "o4 Mini", "vendor": "OpenAI", "provider": "OpenAI", "providerSlug": "openai", "tagline": "OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports ", "description": "OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...", "categories": [ "vision", "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "openai" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/openai/o4-mini", "openRouterId": "openai/o4-mini", "modalities": [ "vision", "text" ], "contextWindow": 200000, "maxOutputTokens": 100000, "pricing": { "inputPerMtoken": 1.1, "outputPerMtoken": 4.4, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [ { "source": "other", "benchmark": "Design Arena 3d", "score": 928, "unit": "elo", "rank": 96, "asOf": "2026-07-10" }, { "source": "other", "benchmark": "Design Arena codecategories", "score": 1019, "unit": "elo", "rank": 97, "asOf": "2026-07-10" }, { "source": "other", "benchmark": "Design Arena dataviz", "score": 1032, "unit": "elo", "rank": 89, "asOf": "2026-07-10" }, { "source": "other", "benchmark": "Design Arena gamedev", "score": 1068, "unit": "elo", "rank": 83, "asOf": "2026-07-10" } ], "access": [ { "channel": "openrouter", "modelId": "openai/o4-mini", "docsUrl": "https://openrouter.ai/openai/o4-mini" } ], "howToUse": "Call via OpenRouter with model id `openai/o4-mini`.", "family": "o4-mini", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/openai-o4-mini" }, { "slug": "perplexity-sonar-deep-research", "name": "Sonar Deep Research", "vendor": "Perplexity", "provider": "Perplexity", "providerSlug": "perplexity", "tagline": "Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates so", "description": "Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "perplexity" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/perplexity/sonar-deep-research", "openRouterId": "perplexity/sonar-deep-research", "modalities": [ "text" ], "contextWindow": 128000, "pricing": { "inputPerMtoken": 2, "outputPerMtoken": 8, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "perplexity/sonar-deep-research", "docsUrl": "https://openrouter.ai/perplexity/sonar-deep-research" } ], "howToUse": "Call via OpenRouter with model id `perplexity/sonar-deep-research`.", "family": "sonar-deep-research", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/perplexity-sonar-deep-research" }, { "slug": "openrouter-fusion", "name": "Fusion", "vendor": "Openrouter", "provider": "Openrouter", "providerSlug": "openrouter", "tagline": "Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a.", "description": "Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a...", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "openrouter" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/openrouter/fusion", "openRouterId": "openrouter/fusion", "modalities": [ "text" ], "contextWindow": 1000000, "pricing": { "inputPerMtoken": 0, "outputPerMtoken": 0, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "openrouter/fusion", "docsUrl": "https://openrouter.ai/openrouter/fusion" } ], "howToUse": "Call via OpenRouter with model id `openrouter/fusion`.", "family": "fusion", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/openrouter-fusion" }, { "slug": "perplexity-sonar-pro-search", "name": "Sonar Pro Search", "vendor": "Perplexity", "provider": "Perplexity", "providerSlug": "perplexity", "tagline": "Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. ", "description": "Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...", "categories": [ "vision", "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "perplexity" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/perplexity/sonar-pro-search", "openRouterId": "perplexity/sonar-pro-search", "modalities": [ "text", "vision" ], "contextWindow": 200000, "maxOutputTokens": 8000, "pricing": { "inputPerMtoken": 3, "outputPerMtoken": 15, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "perplexity/sonar-pro-search", "docsUrl": "https://openrouter.ai/perplexity/sonar-pro-search" } ], "howToUse": "Call via OpenRouter with model id `perplexity/sonar-pro-search`.", "family": "sonar-pro-search", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/perplexity-sonar-pro-search" }, { "slug": "perplexity-sonar-pro", "name": "Sonar Pro", "vendor": "Perplexity", "provider": "Perplexity", "providerSlug": "perplexity", "tagline": "Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sona", "description": "Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like...", "categories": [ "vision", "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "perplexity" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/perplexity/sonar-pro", "openRouterId": "perplexity/sonar-pro", "modalities": [ "text", "vision" ], "contextWindow": 200000, "maxOutputTokens": 8000, "pricing": { "inputPerMtoken": 3, "outputPerMtoken": 15, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "perplexity/sonar-pro", "docsUrl": "https://openrouter.ai/perplexity/sonar-pro" } ], "howToUse": "Call via OpenRouter with model id `perplexity/sonar-pro`.", "family": "sonar-pro", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/perplexity-sonar-pro" }, { "slug": "perplexity-sonar-reasoning-pro", "name": "Sonar Reasoning Pro", "vendor": "Perplexity", "provider": "Perplexity", "providerSlug": "perplexity", "tagline": "Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sona", "description": "Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...", "categories": [ "vision", "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "perplexity" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/perplexity/sonar-reasoning-pro", "openRouterId": "perplexity/sonar-reasoning-pro", "modalities": [ "text", "vision" ], "contextWindow": 128000, "pricing": { "inputPerMtoken": 2, "outputPerMtoken": 8, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "perplexity/sonar-reasoning-pro", "docsUrl": "https://openrouter.ai/perplexity/sonar-reasoning-pro" } ], "howToUse": "Call via OpenRouter with model id `perplexity/sonar-reasoning-pro`.", "family": "sonar-reasoning-pro", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/perplexity-sonar-reasoning-pro" }, { "slug": "perplexity-sonar", "name": "Sonar", "vendor": "Perplexity", "provider": "Perplexity", "providerSlug": "perplexity", "tagline": "Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightwei", "description": "Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...", "categories": [ "vision" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "perplexity" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "closed", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/perplexity/sonar", "openRouterId": "perplexity/sonar", "modalities": [ "text", "vision" ], "contextWindow": 127072, "pricing": { "inputPerMtoken": 1, "outputPerMtoken": 1, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "perplexity/sonar", "docsUrl": "https://openrouter.ai/perplexity/sonar" } ], "howToUse": "Call via OpenRouter with model id `perplexity/sonar`.", "family": "sonar", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/perplexity-sonar" }, { "slug": "poolside-laguna-m-1-free", "name": "Laguna M.1 (free)", "vendor": "Poolside", "provider": "Poolside", "providerSlug": "poolside", "tagline": "Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai/), optimized for complex software engineering tasks. Designed for agentic coding workflows, it sup", "description": "Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai/), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 256K...", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "poolside" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/poolside/laguna-m.1:free", "openRouterId": "poolside/laguna-m.1:free", "modalities": [ "text" ], "contextWindow": 262144, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0, "outputPerMtoken": 0, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "poolside/laguna-m.1:free", "docsUrl": "https://openrouter.ai/poolside/laguna-m.1:free" } ], "howToUse": "Call via OpenRouter with model id `poolside/laguna-m.1:free`.", "family": "laguna-m.1:free", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/poolside-laguna-m-1-free" }, { "slug": "poolside-laguna-m-1", "name": "Laguna M.1", "vendor": "Poolside", "provider": "Poolside", "providerSlug": "poolside", "tagline": "Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai/), optimized for complex software engineering tasks. Designed for agentic coding workflows, it sup", "description": "Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai/), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 256K...", "categories": [ "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "poolside" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/poolside/laguna-m.1", "openRouterId": "poolside/laguna-m.1", "modalities": [ "text" ], "contextWindow": 262144, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.2, "outputPerMtoken": 0.4, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "poolside/laguna-m.1", "docsUrl": "https://openrouter.ai/poolside/laguna-m.1" } ], "howToUse": "Call via OpenRouter with model id `poolside/laguna-m.1`.", "family": "laguna-m.1", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/poolside-laguna-m-1" }, { "slug": "poolside-laguna-xs-2-1-free", "name": "Laguna XS 2.1 (free)", "vendor": "Poolside", "provider": "Poolside", "providerSlug": "poolside", "tagline": "Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026", "description": "Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026). It combines...", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "poolside" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/poolside/laguna-xs-2.1:free", "openRouterId": "poolside/laguna-xs-2.1:free", "modalities": [ "text" ], "contextWindow": 262144, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0, "outputPerMtoken": 0, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "poolside/laguna-xs-2.1:free", "docsUrl": "https://openrouter.ai/poolside/laguna-xs-2.1:free" } ], "howToUse": "Call via OpenRouter with model id `poolside/laguna-xs-2.1:free`.", "family": "laguna-xs-2.1:free", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/poolside-laguna-xs-2-1-free" }, { "slug": "poolside-laguna-xs-2-1", "name": "Laguna XS 2.1", "vendor": "Poolside", "provider": "Poolside", "providerSlug": "poolside", "tagline": "Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026", "description": "Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026). It combines...", "categories": [ "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "poolside" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/poolside/laguna-xs-2.1", "openRouterId": "poolside/laguna-xs-2.1", "modalities": [ "text" ], "contextWindow": 262144, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.06, "outputPerMtoken": 0.12, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "poolside/laguna-xs-2.1", "docsUrl": "https://openrouter.ai/poolside/laguna-xs-2.1" } ], "howToUse": "Call via OpenRouter with model id `poolside/laguna-xs-2.1`.", "family": "laguna-xs-2.1", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/poolside-laguna-xs-2-1" }, { "slug": "qwen-qwen-2-5-72b-instruct", "name": "Qwen2.5 72B Instruct", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabi", "description": "Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...", "categories": [ "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen-2.5-72b-instruct", "openRouterId": "qwen/qwen-2.5-72b-instruct", "modalities": [ "text" ], "contextWindow": 131072, "maxOutputTokens": 16384, "pricing": { "inputPerMtoken": 0.36, "outputPerMtoken": 0.4, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen-2.5-72b-instruct", "docsUrl": "https://openrouter.ai/qwen/qwen-2.5-72b-instruct" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen-2.5-72b-instruct`.", "family": "qwen-2.5-72b-instruct", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen-2-5-72b-instruct" }, { "slug": "qwen-qwen-2-5-coder-32b-instruct", "name": "Qwen2.5 Coder 32B Instruct", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Sig", "description": "Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen-2.5-coder-32b-instruct", "openRouterId": "qwen/qwen-2.5-coder-32b-instruct", "modalities": [ "text" ], "contextWindow": 128000, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.66, "outputPerMtoken": 1, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen-2.5-coder-32b-instruct", "docsUrl": "https://openrouter.ai/qwen/qwen-2.5-coder-32b-instruct" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen-2.5-coder-32b-instruct`.", "family": "qwen-2.5-coder-32b-instruct", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen-2-5-coder-32b-instruct" }, { "slug": "qwen-qwen-2-5-7b-instruct", "name": "Qwen2.5 7B Instruct", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabil", "description": "Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...", "categories": [ "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen-2.5-7b-instruct", "openRouterId": "qwen/qwen-2.5-7b-instruct", "modalities": [ "text" ], "contextWindow": 131072, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.04, "outputPerMtoken": 0.1, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen-2.5-7b-instruct", "docsUrl": "https://openrouter.ai/qwen/qwen-2.5-7b-instruct" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen-2.5-7b-instruct`.", "family": "qwen-2.5-7b-instruct", "relations": {}, "detailUrl": 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OpenRouter with model id `qwen/qwen-plus`.", "family": "qwen-plus", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen-plus" }, { "slug": "qwen-qwen2-5-vl-72b-instruct", "name": "Qwen2.5 VL 72B Instruct", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. 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It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...", "categories": [ "coding", "cheap" ], "bestFor": "Dedicated coding agents on a budget", "useCases": [ "code completion agents", "PR drafts", "test generation" ], "pros": [ "Coding-specialist Qwen line at competitive cost", "Strong open-weight-adjacent option via OpenRouter" ], "cons": [ "Narrower generalist quality than frontier closed models", "Endpoint quality can vary" ], "tags": [ "qwen" ], "featured": false, "tier": "curated", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-coder", "openRouterId": "qwen/qwen3-coder", "modalities": [ "text" ], "contextWindow": 1048576, "maxOutputTokens": 65536, "pricing": { "inputPerMtoken": 0.22, "outputPerMtoken": 1.8, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [ { "source": "other", "benchmark": "Design Arena codecategories", "score": 1186, "unit": "elo", "rank": 56, "asOf": "2026-07-10" }, { "source": "other", "benchmark": "Design Arena dataviz", "score": 1124, "unit": "elo", "rank": 77, "asOf": "2026-07-10" }, { "source": "other", "benchmark": "Design Arena gamedev", "score": 1167, "unit": "elo", "rank": 59, "asOf": "2026-07-10" }, { "source": "other", "benchmark": "Design Arena uicomponent", "score": 1168, "unit": "elo", "rank": 57, "asOf": "2026-07-10" } ], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-coder", "docsUrl": "https://openrouter.ai/qwen/qwen3-coder" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-coder`.", "family": "qwen3-coder", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-coder" }, { "slug": "qwen-qwen3-coder-plus", "name": "Qwen3 Coder Plus", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. 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It is a powerful coding agent model specializing in autonomous programming via tool calling and...", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-coder-plus", "openRouterId": "qwen/qwen3-coder-plus", "modalities": [ "text" ], "contextWindow": 1000000, "maxOutputTokens": 65536, "pricing": { "inputPerMtoken": 0.65, "outputPerMtoken": 3.25, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-coder-plus", "docsUrl": "https://openrouter.ai/qwen/qwen3-coder-plus" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-coder-plus`.", "family": "qwen3-coder-plus", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-coder-plus" }, { "slug": "qwen-qwen3-max-thinking", "name": "Qwen3 Max Thinking", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling m", "description": "Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-max-thinking", "openRouterId": "qwen/qwen3-max-thinking", "modalities": [ "text" ], "contextWindow": 262144, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.78, "outputPerMtoken": 3.9, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-max-thinking", "docsUrl": "https://openrouter.ai/qwen/qwen3-max-thinking" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-max-thinking`.", "family": "qwen3-max-thinking", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-max-thinking" }, { "slug": "qwen-qwen3-max", "name": "Qwen3 Max", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage c", "description": "Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...", "categories": [ "reasoning", "coding", "long-context" ], "bestFor": "Qwen-stack teams that need max quality", "useCases": [ "complex agents", "long-doc analysis", "coding + reasoning" ], "pros": [ "Flagship Qwen quality for hard tasks", "Competitive long-context option" ], "cons": [ "Higher cost than Qwen coder/flash rows", "Validate tool-calling for your stack" ], "tags": [ "qwen" ], "featured": false, "tier": "curated", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-max", "openRouterId": "qwen/qwen3-max", "modalities": [ "text" ], "contextWindow": 262144, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.78, "outputPerMtoken": 3.9, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [ { "source": "other", "benchmark": "Design Arena 3d", "score": 1148, "unit": "elo", "rank": 64, "asOf": "2026-07-10" }, { "source": "other", "benchmark": "Design Arena asciiart", "score": 1174, "unit": "elo", "rank": 33, "asOf": "2026-07-10" }, { "source": "other", "benchmark": "Design Arena codecategories", "score": 1153, "unit": "elo", "rank": 69, "asOf": "2026-07-10" }, { "source": "other", "benchmark": "Design Arena dataviz", "score": 1146, "unit": "elo", "rank": 66, "asOf": "2026-07-10" } ], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-max", "docsUrl": "https://openrouter.ai/qwen/qwen3-max" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-max`.", "family": "qwen3-max", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-max" }, { "slug": "qwen-qwen3-next-80b-a3b-instruct-free", "name": "Qwen3 Next 80B A3B Instruct (free)", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks acr", "description": "Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...", "categories": [ "long-context" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-next-80b-a3b-instruct:free", "openRouterId": "qwen/qwen3-next-80b-a3b-instruct:free", "modalities": [ "text" ], "contextWindow": 262144, "pricing": { "inputPerMtoken": 0, "outputPerMtoken": 0, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-next-80b-a3b-instruct:free", "docsUrl": "https://openrouter.ai/qwen/qwen3-next-80b-a3b-instruct:free" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-next-80b-a3b-instruct:free`.", "family": "qwen3-next-80b-a3b-instruct:free", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-next-80b-a3b-instruct-free" }, { "slug": "qwen-qwen3-next-80b-a3b-instruct", "name": "Qwen3 Next 80B A3B Instruct", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks acr", "description": "Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...", "categories": [ "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-next-80b-a3b-instruct", "openRouterId": "qwen/qwen3-next-80b-a3b-instruct", "modalities": [ "text" ], "contextWindow": 262144, "maxOutputTokens": 16384, "pricing": { "inputPerMtoken": 0.09, "outputPerMtoken": 1.1, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-next-80b-a3b-instruct", "docsUrl": "https://openrouter.ai/qwen/qwen3-next-80b-a3b-instruct" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-next-80b-a3b-instruct`.", "family": "qwen3-next-80b-a3b-instruct", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-next-80b-a3b-instruct" }, { "slug": "qwen-qwen3-next-80b-a3b-thinking", "name": "Qwen3 Next 80B A3B Thinking", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems;", "description": "Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...", "categories": [ "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-next-80b-a3b-thinking", "openRouterId": "qwen/qwen3-next-80b-a3b-thinking", "modalities": [ "text" ], "contextWindow": 262144, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.0975, "outputPerMtoken": 0.78, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [ { "source": "artificial-analysis", "benchmark": "Intelligence Index", "score": 16.7, "unit": "index", "asOf": "2026-07-10", "url": "https://artificialanalysis.ai/leaderboards/models" }, { "source": "artificial-analysis", "benchmark": "Coding Index", "score": 17.4, "unit": "index", "asOf": "2026-07-10", "url": "https://artificialanalysis.ai/leaderboards/models" }, { "source": "artificial-analysis", "benchmark": "Agentic Index", "score": 2.1, "unit": "index", "asOf": "2026-07-10", "url": "https://artificialanalysis.ai/leaderboards/models" } ], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-next-80b-a3b-thinking", "docsUrl": "https://openrouter.ai/qwen/qwen3-next-80b-a3b-thinking" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-next-80b-a3b-thinking`.", "family": "qwen3-next-80b-a3b-thinking", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-next-80b-a3b-thinking" }, { "slug": "qwen-qwen3-vl-235b-a22b-instruct", "name": "Qwen3 VL 235B A22B Instruct", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets gen", "description": "Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...", "categories": [ "vision", "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-vl-235b-a22b-instruct", "openRouterId": "qwen/qwen3-vl-235b-a22b-instruct", "modalities": [ "text", "vision" ], "contextWindow": 262144, "maxOutputTokens": 16384, "pricing": { "inputPerMtoken": 0.2, "outputPerMtoken": 0.88, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-vl-235b-a22b-instruct", "docsUrl": "https://openrouter.ai/qwen/qwen3-vl-235b-a22b-instruct" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-vl-235b-a22b-instruct`.", "family": "qwen3-vl-235b-a22b-instruct", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-vl-235b-a22b-instruct" }, { "slug": "qwen-qwen3-vl-235b-a22b-thinking", "name": "Qwen3 VL 235B A22B Thinking", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimo", "description": "Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....", "categories": [ "vision", "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-vl-235b-a22b-thinking", "openRouterId": "qwen/qwen3-vl-235b-a22b-thinking", "modalities": [ "text", "vision" ], "contextWindow": 131072, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.26, "outputPerMtoken": 2.6, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-vl-235b-a22b-thinking", "docsUrl": "https://openrouter.ai/qwen/qwen3-vl-235b-a22b-thinking" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-vl-235b-a22b-thinking`.", "family": "qwen3-vl-235b-a22b-thinking", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-vl-235b-a22b-thinking" }, { "slug": "qwen-qwen3-vl-30b-a3b-instruct", "name": "Qwen3 VL 30B A3B Instruct", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-foll", "description": "Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...", "categories": [ "vision", "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-vl-30b-a3b-instruct", "openRouterId": "qwen/qwen3-vl-30b-a3b-instruct", "modalities": [ "text", "vision" ], "contextWindow": 262144, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.13, "outputPerMtoken": 0.52, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-vl-30b-a3b-instruct", "docsUrl": "https://openrouter.ai/qwen/qwen3-vl-30b-a3b-instruct" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-vl-30b-a3b-instruct`.", "family": "qwen3-vl-30b-a3b-instruct", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-vl-30b-a3b-instruct" }, { "slug": "qwen-qwen3-vl-30b-a3b-thinking", "name": "Qwen3 VL 30B A3B Thinking", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM", "description": "Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...", "categories": [ "vision", "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-vl-30b-a3b-thinking", "openRouterId": "qwen/qwen3-vl-30b-a3b-thinking", "modalities": [ "text", "vision" ], "contextWindow": 131072, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.13, "outputPerMtoken": 1.56, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-vl-30b-a3b-thinking", "docsUrl": "https://openrouter.ai/qwen/qwen3-vl-30b-a3b-thinking" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-vl-30b-a3b-thinking`.", "family": "qwen3-vl-30b-a3b-thinking", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-vl-30b-a3b-thinking" }, { "slug": "qwen-qwen3-vl-32b-instruct", "name": "Qwen3 VL 32B Instruct", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion para", "description": "Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text...", "categories": [ "vision", "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-vl-32b-instruct", "openRouterId": "qwen/qwen3-vl-32b-instruct", "modalities": [ "text", "vision" ], "contextWindow": 262144, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.104, "outputPerMtoken": 0.416, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-vl-32b-instruct", "docsUrl": "https://openrouter.ai/qwen/qwen3-vl-32b-instruct" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-vl-32b-instruct`.", "family": "qwen3-vl-32b-instruct", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-vl-32b-instruct" }, { "slug": "qwen-qwen3-vl-8b-instruct", "name": "Qwen3 VL 8B Instruct", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features", "description": "Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...", "categories": [ "vision", "long-context", "cheap" ], "bestFor": "", "useCases": [], "pros": [], "cons": [], "tags": [ "qwen" ], "featured": false, "tier": "indexed", "language": [], "licenseType": "open-weights", "addedAt": "2026-07-10", "officialLink": "https://openrouter.ai/qwen/qwen3-vl-8b-instruct", "openRouterId": "qwen/qwen3-vl-8b-instruct", "modalities": [ "vision", "text" ], "contextWindow": 256000, "maxOutputTokens": 32768, "pricing": { "inputPerMtoken": 0.117, "outputPerMtoken": 0.455, "currency": "USD", "asOf": "2026-07-10" }, "benchmarks": [], "access": [ { "channel": "openrouter", "modelId": "qwen/qwen3-vl-8b-instruct", "docsUrl": "https://openrouter.ai/qwen/qwen3-vl-8b-instruct" } ], "howToUse": "Call via OpenRouter with model id `qwen/qwen3-vl-8b-instruct`.", "family": "qwen3-vl-8b-instruct", "relations": {}, "detailUrl": "https://enterprisedna.co/directories/models/qwen-qwen3-vl-8b-instruct" }, { "slug": "qwen-qwen3-vl-8b-thinking", "name": "Qwen3 VL 8B Thinking", "vendor": "Qwen", "provider": "Qwen", "providerSlug": "qwen", "tagline": "Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, an", "description": "Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. 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