{
  "generatedAt": "2026-10-16T16:13:25.378Z",
  "dateModified": "2026-10-16",
  "source": "OpenRouter public models API (https://openrouter.ai/api/v1/models)",
  "priceUnit": "USD per 1M tokens",
  "totalListedUpstream": 466,
  "models": [
    {
      "id": "anthropic/claude-opus-5.5",
      "slug": "anthropic-claude-opus-5-5",
      "name": "Claude Opus 5.5",
      "provider": "anthropic",
      "segment": "frontier",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 4,
      "outputPerM": 20,
      "tieredPricing": false,
      "contextTokens": 1000000,
      "inputModalities": [
        "text",
        "image",
        "file"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 57.6,
      "smartness": 5,
      "pagesAtOnce": 1500,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0282,
        "chat": 5.248,
        "pdf": 0.1476
      },
      "released": "2026-09-22",
      "description": "Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...",
      "verdict": "The strongest all-round pick when quality matters more than cost, especially for big, complicated jobs like long coding projects.",
      "bestFor": [
        "coding",
        "hard problems",
        "long documents"
      ],
      "watchOut": "One of the pricier options. Use a cheaper model for routine work.",
      "openrouterUrl": "https://openrouter.ai/anthropic/claude-opus-5.5"
    },
    {
      "id": "anthropic/claude-sonnet-5.5",
      "slug": "anthropic-claude-sonnet-5-5",
      "name": "Claude Sonnet 5.5",
      "provider": "anthropic",
      "segment": "frontier",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 2,
      "outputPerM": 10,
      "tieredPricing": false,
      "contextTokens": 1000000,
      "inputModalities": [
        "text",
        "image",
        "file"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 56,
      "smartness": 5,
      "pagesAtOnce": 1500,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0141,
        "chat": 2.624,
        "pdf": 0.0738
      },
      "released": "2026-09-28",
      "description": "Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...",
      "verdict": "The sensible default: close to the top tier for writing, fixing code and everyday work, at about half the price of Claude Opus 5.5.",
      "bestFor": [
        "writing",
        "coding",
        "everyday work"
      ],
      "watchOut": "Not quite the top tier for the very hardest jobs.",
      "openrouterUrl": "https://openrouter.ai/anthropic/claude-sonnet-5.5"
    },
    {
      "id": "anthropic/claude-fable-5.1",
      "slug": "anthropic-claude-fable-5-1",
      "name": "Claude Fable 5.1",
      "provider": "anthropic",
      "segment": "frontier",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 10,
      "outputPerM": 50,
      "tieredPricing": false,
      "contextTokens": 1000000,
      "inputModalities": [
        "text",
        "image",
        "file"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 53.4,
      "smartness": 5,
      "pagesAtOnce": 1500,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0705,
        "chat": 13.12,
        "pdf": 0.369
      },
      "released": "2026-09-01",
      "description": "Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...",
      "verdict": "A premium Claude model for long, multi-step jobs and knowledge work. It costs 2.5 times as much as Claude Opus 5.5.",
      "bestFor": [
        "long multi-step jobs",
        "knowledge work"
      ],
      "watchOut": "Test whether the extra cost is worth it for your task before relying on it.",
      "openrouterUrl": "https://openrouter.ai/anthropic/claude-fable-5.1"
    },
    {
      "id": "openai/gpt-6-astra",
      "slug": "openai-gpt-6-astra",
      "name": "GPT-6 Astra",
      "provider": "openai",
      "segment": "frontier",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 10,
      "outputPerM": 50,
      "tieredPricing": true,
      "contextTokens": 1050000,
      "inputModalities": [
        "file",
        "image",
        "text"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 52.7,
      "smartness": 5,
      "pagesAtOnce": 1580,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0705,
        "chat": 13.12,
        "pdf": 0.369
      },
      "released": "2026-09-04",
      "description": "GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...",
      "verdict": "OpenAI's top model, built for deep research, programming and creating documents. Priced to match.",
      "bestFor": [
        "deep research",
        "programming",
        "documents"
      ],
      "watchOut": "The most expensive tier on our list.",
      "openrouterUrl": "https://openrouter.ai/openai/gpt-6-astra"
    },
    {
      "id": "openai/gpt-6.1-sol",
      "slug": "openai-gpt-6-1-sol",
      "name": "GPT-6.1 Sol",
      "provider": "openai",
      "segment": "frontier",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 2,
      "outputPerM": 10,
      "tieredPricing": true,
      "contextTokens": 1050000,
      "inputModalities": [
        "file",
        "image",
        "text"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 51.8,
      "smartness": 5,
      "pagesAtOnce": 1580,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0141,
        "chat": 2.624,
        "pdf": 0.0738
      },
      "released": "2026-09-29",
      "description": "GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...",
      "verdict": "Good value from OpenAI: strong at programming and working through long documents, at a mid-range price.",
      "bestFor": [
        "programming",
        "documents"
      ],
      "watchOut": "Sits below GPT-6 Astra in OpenAI's own lineup. Very long inputs cost more.",
      "openrouterUrl": "https://openrouter.ai/openai/gpt-6.1-sol"
    },
    {
      "id": "google/gemini-4-argon",
      "slug": "google-gemini-4-argon",
      "name": "Gemini 4 Argon",
      "provider": "google",
      "segment": "frontier",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 2,
      "outputPerM": 10,
      "tieredPricing": false,
      "contextTokens": 1048576,
      "inputModalities": [
        "audio",
        "file",
        "image",
        "text",
        "video"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 52.6,
      "smartness": 5,
      "pagesAtOnce": 1570,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0141,
        "chat": 2.624,
        "pdf": 0.0738
      },
      "released": "2026-10-13",
      "description": "Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...",
      "verdict": "Google's top model. It can read text, pictures, audio, video and files, at a mid-range price.",
      "bestFor": [
        "pictures and video",
        "math and science",
        "hard problems"
      ],
      "watchOut": "Newer model, so there is less real-world feedback on it so far.",
      "openrouterUrl": "https://openrouter.ai/google/gemini-4-argon"
    },
    {
      "id": "meta/muse-wonder",
      "slug": "meta-muse-wonder",
      "name": "Muse Wonder",
      "provider": "meta",
      "segment": "frontier",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 4,
      "outputPerM": 20,
      "tieredPricing": false,
      "contextTokens": 1048576,
      "inputModalities": [
        "text",
        "image",
        "video",
        "file",
        "audio"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": null,
      "smartness": null,
      "pagesAtOnce": 1570,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0282,
        "chat": 5.248,
        "pdf": 0.1476
      },
      "released": "2026-10-12",
      "description": "Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...",
      "verdict": "Meta's top model for complex personal and work tasks. It understands text, pictures, video, audio and PDFs.",
      "bestFor": [
        "mixed media",
        "personal and work tasks"
      ],
      "watchOut": "Very new, and we don't have a smartness score for it yet.",
      "openrouterUrl": "https://openrouter.ai/meta/muse-wonder"
    },
    {
      "id": "x-ai/grok-4.7",
      "slug": "x-ai-grok-4-7",
      "name": "Grok 4.7",
      "provider": "x-ai",
      "segment": "frontier",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 2,
      "outputPerM": 6,
      "tieredPricing": true,
      "contextTokens": 500000,
      "inputModalities": [
        "text",
        "image",
        "file"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 46.4,
      "smartness": 4,
      "pagesAtOnce": 750,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0087,
        "chat": 2.544,
        "pdf": 0.071
      },
      "released": "2026-09-21",
      "description": "Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and...",
      "verdict": "Grok's top model, aimed at programming and long, multi-step jobs, priced below most top models.",
      "bestFor": [
        "programming",
        "long multi-step jobs"
      ],
      "watchOut": "Reads less at once than the million-token models, and costs more on very long inputs.",
      "openrouterUrl": "https://openrouter.ai/x-ai/grok-4.7"
    },
    {
      "id": "mistralai/mistral-large-4-0",
      "slug": "mistralai-mistral-large-4-0",
      "name": "Mistral Large 4",
      "provider": "mistralai",
      "segment": "frontier",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 0.68,
      "outputPerM": 2.09,
      "tieredPricing": false,
      "contextTokens": 1048576,
      "inputModalities": [
        "text",
        "image"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 38.4,
      "smartness": 3,
      "pagesAtOnce": 1570,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.003,
        "chat": 0.866,
        "pdf": 0.0242
      },
      "released": "2026-10-06",
      "description": "Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...",
      "verdict": "A low-cost large model from Mistral. A good choice when budget is tight but you still want a big model.",
      "bestFor": [
        "tight budgets",
        "general use"
      ],
      "watchOut": "Scores lower than the top models on the smartness measure we use.",
      "openrouterUrl": "https://openrouter.ai/mistralai/mistral-large-4-0"
    },
    {
      "id": "cohere/command-a-plus",
      "slug": "cohere-command-a-plus",
      "name": "Command A+",
      "provider": "cohere",
      "segment": "frontier",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 0.3,
      "outputPerM": 1.5,
      "tieredPricing": false,
      "contextTokens": 192000,
      "inputModalities": [
        "text",
        "image"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": null,
      "smartness": null,
      "pagesAtOnce": 290,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0021,
        "chat": 0.3936,
        "pdf": 0.0111
      },
      "released": "2026-09-22",
      "description": "Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...",
      "verdict": "Built for business use, where answers must follow a strict format. Priced low.",
      "bestFor": [
        "business tasks",
        "structured answers"
      ],
      "watchOut": "Reads fewer pages at once, and we don't have a smartness score for it.",
      "openrouterUrl": "https://openrouter.ai/cohere/command-a-plus"
    },
    {
      "id": "anthropic/claude-haiku-5.5",
      "slug": "anthropic-claude-haiku-5-5",
      "name": "Claude Haiku 5.5",
      "provider": "anthropic",
      "segment": "small-fast",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 0.1,
      "outputPerM": 0.5,
      "tieredPricing": true,
      "contextTokens": 1000000,
      "inputModalities": [
        "text",
        "image",
        "file"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 43.4,
      "smartness": 4,
      "pagesAtOnce": 1500,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0007,
        "chat": 0.1312,
        "pdf": 0.0037
      },
      "released": "2026-10-07",
      "description": "Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...",
      "verdict": "The cheap and fast Claude. Great for summaries, quick questions and anything you do a lot of.",
      "bestFor": [
        "summaries",
        "quick questions",
        "high volume"
      ],
      "watchOut": "Costs more for very long inputs.",
      "openrouterUrl": "https://openrouter.ai/anthropic/claude-haiku-5.5"
    },
    {
      "id": "openai/gpt-6-luna",
      "slug": "openai-gpt-6-luna",
      "name": "GPT-6 Luna",
      "provider": "openai",
      "segment": "small-fast",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 0.1,
      "outputPerM": 0.5,
      "tieredPricing": true,
      "contextTokens": 1050000,
      "inputModalities": [
        "file",
        "image",
        "text"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 38.1,
      "smartness": 3,
      "pagesAtOnce": 1580,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0007,
        "chat": 0.1312,
        "pdf": 0.0037
      },
      "released": "2026-09-22",
      "description": "GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...",
      "verdict": "OpenAI's fast, cheap model for chat, sorting things into groups and light tasks.",
      "bestFor": [
        "chat",
        "sorting and labeling",
        "light tasks"
      ],
      "watchOut": "Costs more for very long inputs.",
      "openrouterUrl": "https://openrouter.ai/openai/gpt-6-luna"
    },
    {
      "id": "google/gemini-3.8-flash",
      "slug": "google-gemini-3-8-flash",
      "name": "Gemini 3.8 Flash",
      "provider": "google",
      "segment": "small-fast",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 0.825,
      "outputPerM": 4.125,
      "tieredPricing": false,
      "contextTokens": 1048576,
      "inputModalities": [
        "text",
        "image",
        "video",
        "file",
        "audio"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 40.9,
      "smartness": 4,
      "pagesAtOnce": 1570,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0058,
        "chat": 1.0824,
        "pdf": 0.0304
      },
      "released": "2026-09-02",
      "description": "Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.",
      "verdict": "Google's best fast model: a middle ground between cheap and capable. It understands audio and video too.",
      "bestFor": [
        "cheap but capable",
        "audio and video"
      ],
      "watchOut": "Costs several times more than the cheapest options.",
      "openrouterUrl": "https://openrouter.ai/google/gemini-3.8-flash"
    },
    {
      "id": "meta/muse-spark-1.3",
      "slug": "meta-muse-spark-1-3",
      "name": "Muse Spark 1.3",
      "provider": "meta",
      "segment": "small-fast",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 1.25,
      "outputPerM": 4.25,
      "tieredPricing": false,
      "contextTokens": 1048576,
      "inputModalities": [
        "text",
        "image",
        "video",
        "file"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 48.1,
      "smartness": 4,
      "pagesAtOnce": 1570,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0061,
        "chat": 1.6,
        "pdf": 0.0447
      },
      "released": "2026-09-02",
      "description": "Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...",
      "verdict": "A mid-priced Meta model for long, multi-step jobs and programming. It scores close to the top models.",
      "bestFor": [
        "programming",
        "long multi-step jobs"
      ],
      "watchOut": "Not as cheap as the fast models, and you can't download it.",
      "openrouterUrl": "https://openrouter.ai/meta/muse-spark-1.3"
    },
    {
      "id": "deepseek/deepseek-v4.1-flash",
      "slug": "deepseek-deepseek-v4-1-flash",
      "name": "DeepSeek V4.1 Flash",
      "provider": "deepseek",
      "segment": "small-fast",
      "openWeights": true,
      "huggingFaceId": "deepseek-ai/DeepSeek-V4.1-Flash",
      "inputPerM": 0.15,
      "outputPerM": 0.6,
      "tieredPricing": true,
      "contextTokens": 1048576,
      "inputModalities": [
        "text",
        "image"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 39.5,
      "smartness": 3,
      "pagesAtOnce": 1570,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0009,
        "chat": 0.1938,
        "pdf": 0.0054
      },
      "released": "2026-09-10",
      "description": "DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...",
      "verdict": "Very low price, can be downloaded and run yourself, and reads a very large amount at once. Hard to beat for big batches of work.",
      "bestFor": [
        "big batches",
        "low cost"
      ],
      "watchOut": "The price on the listing changes by day of the week. Running it yourself takes serious computer hardware.",
      "openrouterUrl": "https://openrouter.ai/deepseek/deepseek-v4.1-flash"
    },
    {
      "id": "qwen/qwen3.8-flash",
      "slug": "qwen-qwen3-8-flash",
      "name": "Qwen3.8 Flash",
      "provider": "qwen",
      "segment": "small-fast",
      "openWeights": true,
      "huggingFaceId": "Qwen/Qwen3.8-Flash-Next",
      "inputPerM": 0.15,
      "outputPerM": 0.47,
      "tieredPricing": false,
      "contextTokens": 1000000,
      "inputModalities": [
        "text",
        "image",
        "video"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": null,
      "smartness": null,
      "pagesAtOnce": 1500,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0007,
        "chat": 0.1912,
        "pdf": 0.0053
      },
      "released": "2026-08-26",
      "description": "Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.",
      "verdict": "A cheap model that understands pictures and video, and can be downloaded and run yourself.",
      "bestFor": [
        "pictures and video",
        "long documents"
      ],
      "watchOut": "We don't have a smartness score for it yet.",
      "openrouterUrl": "https://openrouter.ai/qwen/qwen3.8-flash"
    },
    {
      "id": "xiaomi/mimo-v2.6-flash",
      "slug": "xiaomi-mimo-v2-6-flash",
      "name": "MiMo-V2.6-Flash",
      "provider": "xiaomi",
      "segment": "small-fast",
      "openWeights": true,
      "huggingFaceId": "XiaomiMiMo/MiMo-V2.6-Flash-RL",
      "inputPerM": 0.14,
      "outputPerM": 0.28,
      "tieredPricing": false,
      "contextTokens": 1050000,
      "inputModalities": [
        "text",
        "image",
        "video",
        "audio"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 37.9,
      "smartness": 3,
      "pagesAtOnce": 1580,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0004,
        "chat": 0.1753,
        "pdf": 0.0049
      },
      "released": "2026-09-21",
      "description": "MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...",
      "verdict": "One of the cheapest models we track. It understands audio and video too, and can be downloaded and run yourself.",
      "bestFor": [
        "very low cost",
        "audio and video"
      ],
      "watchOut": "Scores lower than the pricier models.",
      "openrouterUrl": "https://openrouter.ai/xiaomi/mimo-v2.6-flash"
    },
    {
      "id": "meta/muse-spark-open",
      "slug": "meta-muse-spark-open",
      "name": "Muse Spark Open",
      "provider": "meta",
      "segment": "open-weights",
      "openWeights": true,
      "huggingFaceId": "meta-models/Muse-Spark-Open-816B-A42B",
      "inputPerM": 1.25,
      "outputPerM": 4.25,
      "tieredPricing": false,
      "contextTokens": 1048576,
      "inputModalities": [
        "text",
        "image",
        "video",
        "file",
        "audio"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": null,
      "smartness": null,
      "pagesAtOnce": 1570,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0061,
        "chat": 1.6,
        "pdf": 0.0447
      },
      "released": "2026-10-15",
      "description": "Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...",
      "verdict": "A downloadable Meta model tuned for programming. The one to watch if you want to run your own coding helper.",
      "bestFor": [
        "running your own coding helper"
      ],
      "watchOut": "Brand new (listed Oct 15, 2026) with no smartness score yet. Check the computer requirements before planning to run it yourself.",
      "openrouterUrl": "https://openrouter.ai/meta/muse-spark-open"
    },
    {
      "id": "xiaomi/mimo-v2.6-pro",
      "slug": "xiaomi-mimo-v2-6-pro",
      "name": "MiMo-V2.6-Pro",
      "provider": "xiaomi",
      "segment": "open-weights",
      "openWeights": true,
      "huggingFaceId": "XiaomiMiMo/MiMo-V2.6-Pro-RL",
      "inputPerM": 0.435,
      "outputPerM": 0.87,
      "tieredPricing": false,
      "contextTokens": 1050000,
      "inputModalities": [
        "text",
        "image",
        "video",
        "audio"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 46.3,
      "smartness": 4,
      "pagesAtOnce": 1580,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0013,
        "chat": 0.5446,
        "pdf": 0.0151
      },
      "released": "2026-09-21",
      "description": "MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...",
      "verdict": "The smartest downloadable model we track, at a very low price.",
      "bestFor": [
        "good value",
        "general use",
        "coding"
      ],
      "watchOut": "Too big to run on a normal computer, so most people would use it through a paid service.",
      "openrouterUrl": "https://openrouter.ai/xiaomi/mimo-v2.6-pro"
    },
    {
      "id": "moonshotai/kimi-k3",
      "slug": "moonshotai-kimi-k3",
      "name": "Kimi K3",
      "provider": "moonshotai",
      "segment": "open-weights",
      "openWeights": true,
      "huggingFaceId": "moonshotai/Kimi-K3",
      "inputPerM": 0.304,
      "outputPerM": 11.936,
      "tieredPricing": false,
      "contextTokens": 1048576,
      "inputModalities": [
        "text",
        "image",
        "video"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 43.6,
      "smartness": 4,
      "pagesAtOnce": 1570,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0162,
        "chat": 0.6072,
        "pdf": 0.0185
      },
      "released": "2026-07-16",
      "description": "Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...",
      "verdict": "A very large downloadable model for complicated programming and long jobs.",
      "bestFor": [
        "complicated coding",
        "long jobs"
      ],
      "watchOut": "Replies cost a lot for a downloadable model on the current listing. Check the price before committing.",
      "openrouterUrl": "https://openrouter.ai/moonshotai/kimi-k3"
    },
    {
      "id": "z-ai/glm-5.3",
      "slug": "z-ai-glm-5-3",
      "name": "GLM 5.3",
      "provider": "z-ai",
      "segment": "open-weights",
      "openWeights": true,
      "huggingFaceId": "zai-org/GLM-5.3",
      "inputPerM": 0.079,
      "outputPerM": 4.8,
      "tieredPricing": false,
      "contextTokens": 1048576,
      "inputModalities": [
        "text"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 44.8,
      "smartness": 4,
      "pagesAtOnce": 1570,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0065,
        "chat": 0.1917,
        "pdf": 0.006
      },
      "released": "2026-08-18",
      "description": "GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...",
      "verdict": "A downloadable model for software work and long jobs, with very cheap input.",
      "bestFor": [
        "software work",
        "long jobs"
      ],
      "watchOut": "Text only. Replies cost far more than what you send in.",
      "openrouterUrl": "https://openrouter.ai/z-ai/glm-5.3"
    },
    {
      "id": "qwen/qwen3.8-27b",
      "slug": "qwen-qwen3-8-27b",
      "name": "Qwen3.8 27B",
      "provider": "qwen",
      "segment": "open-weights",
      "openWeights": true,
      "huggingFaceId": "Qwen/Qwen3.8-27B",
      "inputPerM": 0.24,
      "outputPerM": 2.2,
      "tieredPricing": false,
      "contextTokens": 1000000,
      "inputModalities": [
        "text",
        "image",
        "video"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 33.7,
      "smartness": 3,
      "pagesAtOnce": 1500,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.003,
        "chat": 0.3349,
        "pdf": 0.0096
      },
      "released": "2026-08-14",
      "description": "Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...",
      "verdict": "A mid-size downloadable model that understands pictures and video, and is realistic to run on your own hardware.",
      "bestFor": [
        "running it yourself",
        "pictures and video"
      ],
      "watchOut": "Scores below the big models.",
      "openrouterUrl": "https://openrouter.ai/qwen/qwen3.8-27b"
    },
    {
      "id": "nvidia/nemotron-3.5-super-vl",
      "slug": "nvidia-nemotron-3-5-super-vl",
      "name": "Nemotron 3.5 Super VL",
      "provider": "nvidia",
      "segment": "open-weights",
      "openWeights": true,
      "huggingFaceId": "nvidia/NVIDIA-Nemotron-3.5-Super-VL",
      "inputPerM": 0.15,
      "outputPerM": 0.5,
      "tieredPricing": false,
      "contextTokens": 1048576,
      "inputModalities": [
        "text",
        "image",
        "video"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 26.5,
      "smartness": 2,
      "pagesAtOnce": 1570,
      "freeListing": true,
      "taskCosts": {
        "essay": 0.0007,
        "chat": 0.1918,
        "pdf": 0.0054
      },
      "released": "2026-10-15",
      "description": "NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...",
      "verdict": "A downloadable model that reads documents, screenshots and video at low cost. A free listing exists on OpenRouter.",
      "bestFor": [
        "documents and screenshots",
        "video"
      ],
      "watchOut": "The lowest smartness score of the large models here.",
      "openrouterUrl": "https://openrouter.ai/nvidia/nemotron-3.5-super-vl"
    },
    {
      "id": "openai/gpt-oss-120b",
      "slug": "openai-gpt-oss-120b",
      "name": "gpt-oss-120b",
      "provider": "openai",
      "segment": "open-weights",
      "openWeights": true,
      "huggingFaceId": "openai/gpt-oss-120b",
      "inputPerM": 0.15,
      "outputPerM": 0.6,
      "tieredPricing": false,
      "contextTokens": 131072,
      "inputModalities": [
        "text"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 11.6,
      "smartness": 1,
      "pagesAtOnce": 200,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0009,
        "chat": 0.1938,
        "pdf": 0.0054
      },
      "released": "2025-08-05",
      "description": "gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...",
      "verdict": "OpenAI's older downloadable model. Still a cheap, well-known starting point for running your own.",
      "bestFor": [
        "running it yourself",
        "tight budgets"
      ],
      "watchOut": "Released August 2025 and well behind current models. Reads fewer pages at once.",
      "openrouterUrl": "https://openrouter.ai/openai/gpt-oss-120b"
    },
    {
      "id": "google/gemma-4-31b-it",
      "slug": "google-gemma-4-31b-it",
      "name": "Gemma 4 31B",
      "provider": "google",
      "segment": "open-weights",
      "openWeights": true,
      "huggingFaceId": "google/gemma-4-31B-it",
      "inputPerM": 0.2,
      "outputPerM": 0.4,
      "tieredPricing": false,
      "contextTokens": 262144,
      "inputModalities": [
        "image",
        "text",
        "video"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 14.7,
      "smartness": 1,
      "pagesAtOnce": 390,
      "freeListing": true,
      "taskCosts": {
        "essay": 0.0006,
        "chat": 0.2504,
        "pdf": 0.007
      },
      "released": "2026-04-02",
      "description": "Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...",
      "verdict": "Google's downloadable model, small enough to run yourself. It understands pictures and video. A free listing exists on OpenRouter.",
      "bestFor": [
        "running it yourself",
        "small projects"
      ],
      "watchOut": "Well below the top models in quality.",
      "openrouterUrl": "https://openrouter.ai/google/gemma-4-31b-it"
    },
    {
      "id": "deepseek/deepseek-v4-pro-0813",
      "slug": "deepseek-deepseek-v4-pro-0813",
      "name": "DeepSeek V4 Pro 0813",
      "provider": "deepseek",
      "segment": "open-weights",
      "openWeights": true,
      "huggingFaceId": "deepseek-ai/DeepSeek-V4-Pro-0813",
      "inputPerM": 0.66,
      "outputPerM": 1.98,
      "tieredPricing": true,
      "contextTokens": 1048576,
      "inputModalities": [
        "text"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 36,
      "smartness": 3,
      "pagesAtOnce": 1570,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0029,
        "chat": 0.8395,
        "pdf": 0.0234
      },
      "released": "2026-08-12",
      "description": "DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.",
      "verdict": "DeepSeek's larger downloadable model at a low price. A cheap step up from DeepSeek V4.1 Flash.",
      "bestFor": [
        "low-cost quality writing and analysis"
      ],
      "watchOut": "Text only.",
      "openrouterUrl": "https://openrouter.ai/deepseek/deepseek-v4-pro-0813"
    },
    {
      "id": "liquid/lfm-2.5-24b-a2b",
      "slug": "liquid-lfm-2-5-24b-a2b",
      "name": "LFM2.5-24B-A2B",
      "provider": "liquid",
      "segment": "open-weights",
      "openWeights": true,
      "huggingFaceId": "LiquidAI/LFM2.5-24B-A2B",
      "inputPerM": 0.05,
      "outputPerM": 0.7,
      "tieredPricing": false,
      "contextTokens": 128000,
      "inputModalities": [
        "text"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": null,
      "smartness": null,
      "pagesAtOnce": 190,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.001,
        "chat": 0.0746,
        "pdf": 0.0022
      },
      "released": "2026-10-13",
      "description": "LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...",
      "verdict": "A small downloadable model built to run on modest hardware.",
      "bestFor": [
        "running on modest hardware"
      ],
      "watchOut": "Reads fewer pages at once, and has no smartness score yet.",
      "openrouterUrl": "https://openrouter.ai/liquid/lfm-2.5-24b-a2b"
    },
    {
      "id": "inference-net/schematron-v2-turbo",
      "slug": "inference-net-schematron-v2-turbo",
      "name": "Schematron V2 Turbo",
      "provider": "inference-net",
      "segment": "specialist",
      "openWeights": true,
      "huggingFaceId": "inference-net/schematron-v2-granite-4.0-h-micro",
      "inputPerM": 0.03,
      "outputPerM": 0.15,
      "tieredPricing": false,
      "contextTokens": 128000,
      "inputModalities": [
        "text"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": null,
      "smartness": null,
      "pagesAtOnce": 190,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0002,
        "chat": 0.0394,
        "pdf": 0.0011
      },
      "released": "2026-09-12",
      "description": "Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...",
      "verdict": "A tiny model that does one thing: turn a web page into a neat table of data, very cheaply.",
      "bestFor": [
        "pulling data from web pages"
      ],
      "watchOut": "Not a general chat model.",
      "openrouterUrl": "https://openrouter.ai/inference-net/schematron-v2-turbo"
    },
    {
      "id": "moondream/moondream3.1-9b-a2b",
      "slug": "moondream-moondream3-1-9b-a2b",
      "name": "Moondream 3.1",
      "provider": "moondream",
      "segment": "specialist",
      "openWeights": true,
      "huggingFaceId": "moondream/moondream3.1-9B-A2B",
      "inputPerM": 0.3,
      "outputPerM": 2.5,
      "tieredPricing": false,
      "contextTokens": 32000,
      "inputModalities": [
        "text",
        "image"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": null,
      "smartness": null,
      "pagesAtOnce": 50,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0035,
        "chat": 0.4136,
        "pdf": 0.0118
      },
      "released": "2026-10-15",
      "description": "Moondream 3.1 is a vision-language model from Moondream, the successor to Moondream 3 Preview, with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and...",
      "verdict": "A small model for answering questions about images, describing them and reading text in them.",
      "bestFor": [
        "describing images",
        "reading text in photos"
      ],
      "watchOut": "Reads very little at once and gives short answers.",
      "openrouterUrl": "https://openrouter.ai/moondream/moondream3.1-9b-a2b"
    },
    {
      "id": "google/gemini-nano-banana-2.1",
      "slug": "google-gemini-nano-banana-2-1",
      "name": "Nano Banana 2.1",
      "provider": "google",
      "segment": "specialist",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 1.5,
      "outputPerM": 7.5,
      "tieredPricing": false,
      "contextTokens": 65536,
      "inputModalities": [
        "image",
        "text"
      ],
      "outputModalities": [
        "image",
        "text"
      ],
      "intelligenceIndex": null,
      "smartness": null,
      "pagesAtOnce": 100,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0106,
        "chat": 1.968,
        "pdf": 0.0554
      },
      "released": "2026-10-06",
      "description": "Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...",
      "verdict": "Google's model for creating and editing images, for product shots and photo edits.",
      "bestFor": [
        "making images",
        "editing photos"
      ],
      "watchOut": "Image output is billed separately from text, so the costs on this site don't cover it.",
      "openrouterUrl": "https://openrouter.ai/google/gemini-nano-banana-2.1"
    },
    {
      "id": "tencent/hy-mt2-7b",
      "slug": "tencent-hy-mt2-7b",
      "name": "Hy-MT2-7B",
      "provider": "tencent",
      "segment": "specialist",
      "openWeights": true,
      "huggingFaceId": "tencent/Hy-MT2-7B",
      "inputPerM": 0.074,
      "outputPerM": 0.295,
      "tieredPricing": false,
      "contextTokens": 8192,
      "inputModalities": [
        "text"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": null,
      "smartness": null,
      "pagesAtOnce": 10,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0004,
        "chat": 0.0956,
        "pdf": 0.0027
      },
      "released": "2026-08-19",
      "description": "Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.",
      "verdict": "A model built only for translation, with options for glossaries and writing style. Covers 33 language pairs plus some Chinese dialects.",
      "bestFor": [
        "translation"
      ],
      "watchOut": "Short inputs only, and translation only.",
      "openrouterUrl": "https://openrouter.ai/tencent/hy-mt2-7b"
    },
    {
      "id": "perplexity/sonar-pro",
      "slug": "perplexity-sonar-pro",
      "name": "Sonar Pro",
      "provider": "perplexity",
      "segment": "specialist",
      "openWeights": false,
      "huggingFaceId": null,
      "inputPerM": 3,
      "outputPerM": 15,
      "tieredPricing": false,
      "contextTokens": 200000,
      "inputModalities": [
        "text",
        "image"
      ],
      "outputModalities": [
        "text"
      ],
      "intelligenceIndex": 7.6,
      "smartness": 1,
      "pagesAtOnce": 300,
      "freeListing": false,
      "taskCosts": {
        "essay": 0.0212,
        "chat": 3.936,
        "pdf": 0.1107
      },
      "released": "2025-03-07",
      "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...",
      "verdict": "Answers questions by searching the web and showing its sources. A research helper rather than a general chatbot.",
      "bestFor": [
        "finding answers with sources"
      ],
      "watchOut": "The price includes Perplexity's search fees. An older model (2025).",
      "openrouterUrl": "https://openrouter.ai/perplexity/sonar-pro"
    }
  ]
}