{
  "name": "AI Model Release Timeline: Every Major LLM From GPT-1 to GPT-6 (2018-2026)",
  "description": "AI model release timeline of 159 LLMs from GPT-1 to GPT-6: release dates, open weights, context windows and launch API prices, each linked to the lab's source.",
  "url": "https://agitracker.io/data/ai-model-release-timeline/",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "publisher": "agitracker.io",
  "updated": "2026-10-29",
  "columns": [
    {
      "key": "model",
      "label": "Model"
    },
    {
      "key": "lab",
      "label": "Lab"
    },
    {
      "key": "released",
      "label": "Released",
      "type": "date",
      "note": "First public availability (app, API or weights)"
    },
    {
      "key": "openWeights",
      "label": "Open weights",
      "note": "Yes = weights downloadable, under any license"
    },
    {
      "key": "context",
      "label": "Context window",
      "type": "number",
      "note": "Tokens at launch; max sequence length for early models"
    },
    {
      "key": "modalities",
      "label": "Input types",
      "type": "tags"
    },
    {
      "key": "inputPrice",
      "label": "Input price",
      "type": "number",
      "note": "USD per 1M tokens, lab's own API, standard list price at launch"
    },
    {
      "key": "outputPrice",
      "label": "Output price",
      "type": "number",
      "note": "USD per 1M tokens, lab's own API, standard list price at launch"
    },
    {
      "key": "notes",
      "label": "Notes"
    }
  ],
  "rows": [
    {
      "model": "GPT-1",
      "lab": "OpenAI",
      "released": "2018-06-11",
      "openWeights": "Yes",
      "context": 512,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "First GPT model: generative pre-training of a Transformer followed by fine-tuning",
      "source": {
        "title": "OpenAI: Improving language understanding with unsupervised learning",
        "url": "https://openai.com/index/language-unsupervised/"
      }
    },
    {
      "model": "BERT",
      "lab": "Google",
      "released": "2018-11-02",
      "openWeights": "Yes",
      "context": 512,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Bidirectional transformer encoder; Google open-sourced code and pre-trained models",
      "source": {
        "title": "Google Research blog: Open Sourcing BERT",
        "url": "https://research.google/blog/open-sourcing-bert-state-of-the-art-pre-training-for-natural-language-processing/"
      }
    },
    {
      "model": "GPT-2",
      "lab": "OpenAI",
      "released": "2019-02-14",
      "openWeights": "Yes",
      "context": 1024,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Staged release: only a smaller model at first; full 1.5B-parameter weights published 2019-11-05",
      "source": {
        "title": "OpenAI: Better language models and their implications",
        "url": "https://openai.com/index/better-language-models/"
      }
    },
    {
      "model": "T5",
      "lab": "Google",
      "released": "2019-10-23",
      "openWeights": "Yes",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Text-to-text framework; largest model 11B parameters; released with the C4 dataset",
      "source": {
        "title": "arXiv: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer",
        "url": "https://arxiv.org/abs/1910.10683"
      }
    },
    {
      "model": "GPT-3",
      "lab": "OpenAI",
      "released": "2020-06-11",
      "openWeights": "No",
      "context": 2048,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "175 billion parameters; first OpenAI model sold through an API (private beta)",
      "source": {
        "title": "OpenAI: OpenAI API",
        "url": "https://openai.com/index/openai-api/"
      }
    },
    {
      "model": "Jurassic-1 Jumbo",
      "lab": "AI21 Labs",
      "released": "2021-08",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "178B parameters; offered through the AI21 Studio open beta API",
      "source": {
        "title": "AI21 Labs: Announcing AI21 Studio and Jurassic-1",
        "url": "https://www.ai21.com/blog/announcing-ai21-studio-and-jurassic-1"
      }
    },
    {
      "model": "GPT-NeoX-20B",
      "lab": "EleutherAI",
      "released": "2022-02-09",
      "openWeights": "Yes",
      "context": 2048,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "20B parameters; weights released under Apache 2.0 after a one-week delay from the Feb 2 announcement.",
      "source": {
        "title": "Announcing GPT-NeoX-20B (EleutherAI blog)",
        "url": "https://blog.eleuther.ai/announcing-20b/"
      }
    },
    {
      "model": "OPT-175B",
      "lab": "Meta",
      "released": "2022-05-03",
      "openWeights": "Yes",
      "context": 2048,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "175B parameters; weights by request under a noncommercial research license (OPT-175B License).",
      "source": {
        "title": "Democratizing access to large-scale language models with OPT-175B (Meta AI)",
        "url": "https://ai.meta.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/"
      }
    },
    {
      "model": "BLOOM",
      "lab": "BigScience",
      "released": "2022-07-11",
      "openWeights": "Yes",
      "context": 2048,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "176B-parameter multilingual model built by a 1,000+ researcher collaboration; BigScience RAIL License v1.0.",
      "source": {
        "title": "bigscience/bloom model card (Hugging Face)",
        "url": "https://huggingface.co/bigscience/bloom"
      }
    },
    {
      "model": "ChatGPT (GPT-3.5)",
      "lab": "OpenAI",
      "released": "2022-11-30",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Free research preview of a chat interface trained with RLHF; no API until March 2023",
      "source": {
        "title": "OpenAI: Introducing ChatGPT",
        "url": "https://openai.com/index/chatgpt/"
      }
    },
    {
      "model": "LLaMA",
      "lab": "Meta",
      "released": "2023-02-24",
      "openWeights": "Yes",
      "context": 2048,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "7B to 65B parameters; weights granted case by case under a noncommercial research license.",
      "source": {
        "title": "Introducing LLaMA: A foundational, 65-billion-parameter large language model (Meta AI)",
        "url": "https://ai.meta.com/blog/large-language-model-llama-meta-ai/"
      }
    },
    {
      "model": "GPT-3.5 Turbo (ChatGPT API)",
      "lab": "OpenAI",
      "released": "2023-03-01",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": 2,
      "outputPrice": 2,
      "notes": "Same model as ChatGPT; priced at $0.002 per 1K tokens, 10x cheaper than earlier GPT-3.5 models",
      "source": {
        "title": "OpenAI: Introducing ChatGPT and Whisper APIs",
        "url": "https://openai.com/index/introducing-chatgpt-and-whisper-apis/"
      }
    },
    {
      "model": "Claude",
      "lab": "Anthropic",
      "released": "2023-03-14",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "First Claude release, alongside the lighter Claude Instant; offered via chat interface and API",
      "source": {
        "title": "Anthropic: Introducing Claude",
        "url": "https://www.anthropic.com/news/introducing-claude"
      }
    },
    {
      "model": "GPT-4",
      "lab": "OpenAI",
      "released": "2023-03-14",
      "openWeights": "No",
      "context": 8192,
      "modalities": [
        "Text"
      ],
      "inputPrice": 30,
      "outputPrice": 60,
      "notes": "32,768-token gpt-4-32k variant at $60/$120; image input demonstrated but not in the API at launch",
      "source": {
        "title": "OpenAI: GPT-4",
        "url": "https://openai.com/index/gpt-4-research/"
      }
    },
    {
      "model": "PaLM 2",
      "lab": "Google",
      "released": "2023-05-10",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Announced at Google I/O in four sizes (Gecko, Otter, Bison, Unicorn); powered Bard and 25+ Google products",
      "source": {
        "title": "Google: Introducing PaLM 2",
        "url": "https://blog.google/technology/ai/google-palm-2-ai-large-language-model/"
      }
    },
    {
      "model": "Falcon 40B",
      "lab": "TII (UAE)",
      "released": "2023-05-25",
      "openWeights": "Yes",
      "context": 2048,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "40B parameters trained on 1 trillion tokens; made royalty-free under Apache 2.0 on May 31, 2023.",
      "source": {
        "title": "UAE's TII Launches Open-Source Falcon 40B (TII)",
        "url": "https://www.tii.ae/news/uaes-technology-innovation-institute-launches-open-source-falcon-40b-large-language-model"
      }
    },
    {
      "model": "Claude 2",
      "lab": "Anthropic",
      "released": "2023-07-11",
      "openWeights": "No",
      "context": 100000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "100K-token prompts; launched public beta of claude.ai in the US and UK",
      "source": {
        "title": "Anthropic: Claude 2",
        "url": "https://www.anthropic.com/news/claude-2"
      }
    },
    {
      "model": "Llama 2",
      "lab": "Meta",
      "released": "2023-07-18",
      "openWeights": "Yes",
      "context": 4096,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "7B to 70B; first Llama licensed for commercial use (Llama 2 Community License), launched with Microsoft.",
      "source": {
        "title": "Meta and Microsoft Introduce the Next Generation of Llama (Meta AI)",
        "url": "https://ai.meta.com/blog/llama-2/"
      }
    },
    {
      "model": "Qwen-7B",
      "lab": "Alibaba Qwen",
      "released": "2023-08-03",
      "openWeights": "Yes",
      "context": 2048,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "First open-weight Qwen model, released with Qwen-7B-Chat under the Tongyi Qianwen license; context later extended to 8K in a Sept 2023 update.",
      "source": {
        "title": "Qwen GitHub README (news and updates)",
        "url": "https://github.com/QwenLM/Qwen"
      }
    },
    {
      "model": "Code Llama",
      "lab": "Meta",
      "released": "2023-08-24",
      "openWeights": "Yes",
      "context": 100000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Code-specialized Llama 2; trained on 16K-token sequences, stable up to 100K tokens; 70B version followed Jan 29, 2024.",
      "source": {
        "title": "Introducing Code Llama (Meta AI)",
        "url": "https://ai.meta.com/blog/code-llama-large-language-model-coding/"
      }
    },
    {
      "model": "Falcon 180B",
      "lab": "TII (UAE)",
      "released": "2023-09-06",
      "openWeights": "Yes",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "180B parameters trained on 3.5 trillion tokens; Falcon 180B TII License based on Apache 2.0.",
      "source": {
        "title": "TII Introduces World's Most Powerful Open LLM: Falcon 180B (TII)",
        "url": "https://www.tii.ae/news/technology-innovation-institute-introduces-worlds-most-powerful-open-llm-falcon-180b"
      }
    },
    {
      "model": "Mistral 7B",
      "lab": "Mistral AI",
      "released": "2023-09-27",
      "openWeights": "Yes",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Mistral's first model; Apache 2.0, uses sliding window attention.",
      "source": {
        "title": "Mistral 7B (Mistral AI)",
        "url": "https://mistral.ai/news/announcing-mistral-7b"
      }
    },
    {
      "model": "Yi-34B",
      "lab": "01.AI",
      "released": "2023-11-02",
      "openWeights": "Yes",
      "context": 4096,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "34B dense model; a 200K-context variant (Yi-34B-200K) followed on 2023-11-05. Model card now lists Apache 2.0.",
      "source": {
        "title": "Yi-34B model card (01.AI, Hugging Face)",
        "url": "https://huggingface.co/01-ai/Yi-34B"
      }
    },
    {
      "model": "GPT-4 Turbo",
      "lab": "OpenAI",
      "released": "2023-11-06",
      "openWeights": "No",
      "context": 128000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 10,
      "outputPrice": 30,
      "notes": "First OpenAI model with a 128K context window; launched as a preview at DevDay",
      "source": {
        "title": "OpenAI: New models and developer products announced at DevDay",
        "url": "https://openai.com/index/new-models-and-developer-products-announced-at-devday/"
      }
    },
    {
      "model": "Claude 2.1",
      "lab": "Anthropic",
      "released": "2023-11-21",
      "openWeights": "No",
      "context": 200000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Doubled context to 200K tokens; added system prompts and tool use in beta",
      "source": {
        "title": "Anthropic: Introducing Claude 2.1",
        "url": "https://www.anthropic.com/news/claude-2-1"
      }
    },
    {
      "model": "Amazon Titan Text Express",
      "lab": "Amazon",
      "released": "2023-11-29",
      "openWeights": "No",
      "context": 8000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Generally available on Amazon Bedrock with Titan Text Lite (4,000 tokens)",
      "source": {
        "title": "AWS What's New: Amazon Titan Text models Express and Lite now generally available",
        "url": "https://aws.amazon.com/about-aws/whats-new/2023/11/amazon-titan-models-express-lite-bedrock/"
      }
    },
    {
      "model": "Gemini 1.0 Pro",
      "lab": "Google",
      "released": "2023-12-06",
      "openWeights": "No",
      "context": 32000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "First Gemini model; Bard switched to Gemini Pro on launch day; API access from December 13 with a 32K context window; a separate Pro Vision endpoint accepted images",
      "source": {
        "title": "Google: Introducing Gemini",
        "url": "https://blog.google/technology/ai/google-gemini-ai/"
      }
    },
    {
      "model": "Mixtral 8x7B",
      "lab": "Mistral AI",
      "released": "2023-12-11",
      "openWeights": "Yes",
      "context": 32000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Sparse mixture-of-experts model with open weights under Apache 2.0.",
      "source": {
        "title": "Mixtral of experts (Mistral AI)",
        "url": "https://mistral.ai/news/mixtral-of-experts"
      }
    },
    {
      "model": "Phi-2",
      "lab": "Microsoft",
      "released": "2023-12-12",
      "openWeights": "Yes",
      "context": 2048,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "2.7B-parameter small language model; MIT license",
      "source": {
        "title": "Microsoft Research: Phi-2: The surprising power of small language models",
        "url": "https://www.microsoft.com/en-us/research/blog/phi-2-the-surprising-power-of-small-language-models/"
      }
    },
    {
      "model": "OLMo 7B",
      "lab": "Ai2",
      "released": "2024-02-01",
      "openWeights": "Yes",
      "context": 2048,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Released weights plus full training data, code, logs and checkpoints under Apache 2.0.",
      "source": {
        "title": "OLMo: Open Language Model (Ai2)",
        "url": "https://allenai.org/blog/olmo-open-language-model-87ccfc95f580"
      }
    },
    {
      "model": "Qwen1.5",
      "lab": "Alibaba Qwen",
      "released": "2024-02-04",
      "openWeights": "Yes",
      "context": 32768,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Family from 0.5B to 72B (later 110B); all sizes support a 32,768-token context.",
      "source": {
        "title": "Introducing Qwen1.5 (Qwen blog)",
        "url": "https://qwenlm.github.io/blog/qwen1.5/"
      }
    },
    {
      "model": "Gemma",
      "lab": "Google",
      "released": "2024-02-21",
      "openWeights": "Yes",
      "context": 8192,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Google's first open-weight Gemma models (2B and 7B)",
      "source": {
        "title": "Google: Gemma, introducing new state-of-the-art open models",
        "url": "https://blog.google/technology/developers/gemma-open-models/"
      }
    },
    {
      "model": "Mistral Large",
      "lab": "Mistral AI",
      "released": "2024-02-26",
      "openWeights": "No",
      "context": 32000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Closed flagship model offered through Mistral's API.",
      "source": {
        "title": "Au Large (Mistral AI)",
        "url": "https://mistral.ai/news/mistral-large"
      }
    },
    {
      "model": "Claude 3 Opus",
      "lab": "Anthropic",
      "released": "2024-03-04",
      "openWeights": "No",
      "context": 200000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 15,
      "outputPrice": 75,
      "notes": "Claude 3 family launch (Opus, Sonnet); first Claude models with image input",
      "source": {
        "title": "Anthropic: Introducing the next generation of Claude",
        "url": "https://www.anthropic.com/news/claude-3-family"
      }
    },
    {
      "model": "Command R",
      "lab": "Cohere",
      "released": "2024-03-11",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 0.5,
      "outputPrice": 1.5,
      "notes": "RAG- and tool-use-focused model; weights published under a non-commercial CC-BY-NC license",
      "source": {
        "title": "Cohere docs: Command R",
        "url": "https://docs.cohere.com/docs/command-r"
      }
    },
    {
      "model": "Claude 3 Haiku",
      "lab": "Anthropic",
      "released": "2024-03-13",
      "openWeights": "No",
      "context": 200000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 0.25,
      "outputPrice": 1.25,
      "notes": "Smallest Claude 3 model",
      "source": {
        "title": "Anthropic: Claude 3 Haiku",
        "url": "https://www.anthropic.com/news/claude-3-haiku"
      }
    },
    {
      "model": "Grok-1 (open weights)",
      "lab": "xAI",
      "released": "2024-03-17",
      "openWeights": "Yes",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "314B-parameter mixture-of-experts base model; weights and architecture released under Apache 2.0.",
      "source": {
        "title": "Open Release of Grok-1 (xAI)",
        "url": "https://x.ai/news/grok-os"
      }
    },
    {
      "model": "Jamba",
      "lab": "AI21 Labs",
      "released": "2024-03-28",
      "openWeights": "Yes",
      "context": 256000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Hybrid Mamba-Transformer mixture-of-experts model (52B total, 12B active); Apache 2.0 weights",
      "source": {
        "title": "AI21 Labs: Introducing Jamba",
        "url": "https://www.ai21.com/blog/announcing-jamba"
      }
    },
    {
      "model": "Command R+",
      "lab": "Cohere",
      "released": "2024-04-04",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 3,
      "outputPrice": 15,
      "notes": "Larger RAG model, first available on Microsoft Azure; CC-BY-NC weights",
      "source": {
        "title": "Cohere: Introducing Command R+",
        "url": "https://cohere.com/blog/command-r-plus-microsoft-azure"
      }
    },
    {
      "model": "Gemini 1.5 Pro",
      "lab": "Google",
      "released": "2024-04-09",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image",
        "Audio",
        "Video"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "First public API model with a 1M-token context window; announced February 15, 2024 for limited testing",
      "source": {
        "title": "Google Developers Blog: Gemini 1.5 Pro now available in 180+ countries",
        "url": "https://developers.googleblog.com/en/gemini-15-pro-now-available-in-180-countries-with-native-audio-understanding-system-instructions-json-mode-and-more/"
      }
    },
    {
      "model": "Mixtral 8x22B",
      "lab": "Mistral AI",
      "released": "2024-04-17",
      "openWeights": "Yes",
      "context": 64000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Sparse mixture-of-experts; Apache 2.0.",
      "source": {
        "title": "Cheaper, Better, Faster, Stronger (Mistral AI)",
        "url": "https://mistral.ai/news/mixtral-8x22b"
      }
    },
    {
      "model": "Llama 3",
      "lab": "Meta",
      "released": "2024-04-18",
      "openWeights": "Yes",
      "context": 8192,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "8B and 70B; trained on 8,192-token sequences with a new 128K-vocabulary tokenizer.",
      "source": {
        "title": "Introducing Meta Llama 3 (Meta AI)",
        "url": "https://ai.meta.com/blog/meta-llama-3/"
      }
    },
    {
      "model": "Phi-3-mini",
      "lab": "Microsoft",
      "released": "2024-04-23",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "3.8B parameters; 4K and 128K context variants; Microsoft says first model in its class with a 128K window",
      "source": {
        "title": "Microsoft Azure Blog: Introducing Phi-3",
        "url": "https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/"
      }
    },
    {
      "model": "DeepSeek-V2",
      "lab": "DeepSeek",
      "released": "2024-05-06",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Mixture-of-experts model with 236B total and 21B active parameters; introduced Multi-head Latent Attention. DeepSeek Model License (commercial use allowed).",
      "source": {
        "title": "DeepSeek-V2 GitHub README",
        "url": "https://github.com/deepseek-ai/DeepSeek-V2"
      }
    },
    {
      "model": "GPT-4o",
      "lab": "OpenAI",
      "released": "2024-05-13",
      "openWeights": "No",
      "context": 128000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 5,
      "outputPrice": 15,
      "notes": "'Omni' model; API launched with text and vision, audio added later",
      "source": {
        "title": "OpenAI API changelog (May 13, 2024)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Codestral",
      "lab": "Mistral AI",
      "released": "2024-05-29",
      "openWeights": "Yes",
      "context": 32000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Mistral's first code model, 22B; Mistral AI Non-Production License.",
      "source": {
        "title": "Codestral (Mistral AI)",
        "url": "https://mistral.ai/news/codestral"
      }
    },
    {
      "model": "Qwen2",
      "lab": "Alibaba Qwen",
      "released": "2024-06-07",
      "openWeights": "Yes",
      "context": 131072,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Sizes 0.5B to 72B; Qwen2-72B kept the Qianwen license while smaller models moved to Apache 2.0.",
      "source": {
        "title": "Hello Qwen2 (Qwen blog)",
        "url": "https://qwenlm.github.io/blog/qwen2/"
      }
    },
    {
      "model": "Nemotron-4 340B",
      "lab": "NVIDIA",
      "released": "2024-06-14",
      "openWeights": "Yes",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Family of open models aimed at synthetic data generation; NVIDIA Open Model License.",
      "source": {
        "title": "NVIDIA Releases Open Synthetic Data Generation Pipeline (NVIDIA blog)",
        "url": "https://blogs.nvidia.com/blog/nemotron-4-synthetic-data-generation-llm-training/"
      }
    },
    {
      "model": "Claude 3.5 Sonnet",
      "lab": "Anthropic",
      "released": "2024-06-20",
      "openWeights": "No",
      "context": 200000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 3,
      "outputPrice": 15,
      "notes": "Introduced Artifacts in claude.ai; upgraded version in October 2024 added computer use in beta",
      "source": {
        "title": "Anthropic: Introducing Claude 3.5 Sonnet",
        "url": "https://www.anthropic.com/news/claude-3-5-sonnet"
      }
    },
    {
      "model": "Gemma 2",
      "lab": "Google",
      "released": "2024-06-27",
      "openWeights": "Yes",
      "context": 8192,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "9B and 27B open models",
      "source": {
        "title": "Google: Gemma 2 is now available to researchers and developers",
        "url": "https://blog.google/technology/developers/google-gemma-2/"
      }
    },
    {
      "model": "GPT-4o mini",
      "lab": "OpenAI",
      "released": "2024-07-18",
      "openWeights": "No",
      "context": 128000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 0.15,
      "outputPrice": 0.6,
      "notes": "Small, low-cost model that replaced GPT-3.5 Turbo as the cheap default",
      "source": {
        "title": "OpenAI API changelog (Jul 18, 2024)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Llama 3.1 405B",
      "lab": "Meta",
      "released": "2024-07-23",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Meta called the 405B model the first frontier-level open source AI model; 128K context, eight languages.",
      "source": {
        "title": "Introducing Llama 3.1: Our most capable models to date (Meta AI)",
        "url": "https://ai.meta.com/blog/meta-llama-3-1/"
      }
    },
    {
      "model": "Mistral Large 2",
      "lab": "Mistral AI",
      "released": "2024-07-24",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "123B parameters; weights under the Mistral Research License (non-commercial).",
      "source": {
        "title": "Large Enough (Mistral AI)",
        "url": "https://mistral.ai/news/mistral-large-2407"
      }
    },
    {
      "model": "Grok-2",
      "lab": "xAI",
      "released": "2024-08-13",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Released in beta on X with Grok-2 mini; text and vision understanding.",
      "source": {
        "title": "Grok-2 Beta Release (xAI)",
        "url": "https://x.ai/news/grok-2"
      }
    },
    {
      "model": "o1-preview",
      "lab": "OpenAI",
      "released": "2024-09-12",
      "openWeights": "No",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 15,
      "outputPrice": 60,
      "notes": "First OpenAI reasoning model trained with reinforcement learning to think before answering",
      "source": {
        "title": "OpenAI API changelog (Sep 12, 2024)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Qwen2.5",
      "lab": "Alibaba Qwen",
      "released": "2024-09-19",
      "openWeights": "Yes",
      "context": 131072,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Sizes 0.5B to 72B; most under Apache 2.0, with the 3B and 72B models under Qwen licenses.",
      "source": {
        "title": "Qwen2.5: A Party of Foundation Models! (Qwen blog)",
        "url": "https://qwenlm.github.io/blog/qwen2.5/"
      }
    },
    {
      "model": "Llama 3.2 Vision (11B, 90B)",
      "lab": "Meta",
      "released": "2024-09-25",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "First Llama models with image input; released alongside 1B and 3B text models for devices.",
      "source": {
        "title": "Llama 3.2: edge AI and vision with open, customizable models (Meta AI)",
        "url": "https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/"
      }
    },
    {
      "model": "Hunyuan-Large",
      "lab": "Tencent",
      "released": "2024-11-05",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "MoE with 389B total and 52B active parameters; Tencent described it as the largest open Transformer MoE at release. Instruct model 128K, pretrain 256K.",
      "source": {
        "title": "Tencent-Hunyuan-Large GitHub README",
        "url": "https://github.com/Tencent/Tencent-Hunyuan-Large"
      }
    },
    {
      "model": "Amazon Nova Pro",
      "lab": "Amazon",
      "released": "2024-12-03",
      "openWeights": "No",
      "context": 300000,
      "modalities": [
        "Text",
        "Image",
        "Video"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Launched with Nova Micro (text-only, 128K) and Nova Lite (300K) on Amazon Bedrock",
      "source": {
        "title": "AWS News Blog: Introducing Amazon Nova foundation models",
        "url": "https://aws.amazon.com/blogs/aws/introducing-amazon-nova-frontier-intelligence-and-industry-leading-price-performance/"
      }
    },
    {
      "model": "Llama 3.3 70B",
      "lab": "Meta",
      "released": "2024-12-06",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Text-only 70B model; Llama 3.3 Community License.",
      "source": {
        "title": "meta-llama/Llama-3.3-70B-Instruct model card (Hugging Face)",
        "url": "https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct"
      }
    },
    {
      "model": "Gemini 2.0 Flash",
      "lab": "Google",
      "released": "2024-12-11",
      "openWeights": "No",
      "context": 1048576,
      "modalities": [
        "Text",
        "Image",
        "Audio",
        "Video"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Experimental release December 11, 2024; generally available February 5, 2025",
      "source": {
        "title": "Google: Introducing Gemini 2.0",
        "url": "https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/"
      }
    },
    {
      "model": "Phi-4",
      "lab": "Microsoft",
      "released": "2024-12-12",
      "openWeights": "Yes",
      "context": 16000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "14B-parameter small model focused on math reasoning; MIT license",
      "source": {
        "title": "Microsoft Foundry Blog: Introducing Phi-4",
        "url": "https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/introducing-phi-4-microsoft%E2%80%99s-newest-small-language-model-specializing-in-comple/4357090"
      }
    },
    {
      "model": "o1",
      "lab": "OpenAI",
      "released": "2024-12-17",
      "openWeights": "No",
      "context": 200000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 15,
      "outputPrice": 60,
      "notes": "Full o1 in the API with reasoning_effort control and image input",
      "source": {
        "title": "OpenAI API changelog (Dec 17, 2024)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "DeepSeek-V3",
      "lab": "DeepSeek",
      "released": "2024-12-26",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 0.27,
      "outputPrice": 1.1,
      "notes": "MoE with 671B total and 37B active parameters, trained on 14.8T tokens. Listed price applied from 2025-02-08; V2 prices applied until then.",
      "source": {
        "title": "Introducing DeepSeek-V3 (DeepSeek API news)",
        "url": "https://api-docs.deepseek.com/news/news1226"
      }
    },
    {
      "model": "MiniMax-01 (MiniMax-Text-01)",
      "lab": "MiniMax",
      "released": "2025-01-15",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 0.2,
      "outputPrice": 1.1,
      "notes": "MoE with 456B total and 45.9B active parameters using lightning (linear) attention; MiniMax says it handles up to 4M tokens at inference.",
      "source": {
        "title": "MiniMax-01 is Now Open-Source (MiniMax news)",
        "url": "https://www.minimax.io/news/minimax-01-series-2"
      }
    },
    {
      "model": "DeepSeek-R1",
      "lab": "DeepSeek",
      "released": "2025-01-20",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 0.55,
      "outputPrice": 2.19,
      "notes": "Open-weight reasoning model trained with large-scale RL, released under MIT with six distilled smaller models; DeepSeek reported o1-level math, code and reasoning.",
      "source": {
        "title": "DeepSeek-R1 Release (DeepSeek API news, archived copy)",
        "url": "https://web.archive.org/web/20250202014805/https://api-docs.deepseek.com/news/news250120"
      }
    },
    {
      "model": "Mistral Small 3",
      "lab": "Mistral AI",
      "released": "2025-01-30",
      "openWeights": "Yes",
      "context": 32000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "24B latency-optimized model; Apache 2.0.",
      "source": {
        "title": "Mistral Small 3 (Mistral AI)",
        "url": "https://mistral.ai/news/mistral-small-3"
      }
    },
    {
      "model": "o3-mini",
      "lab": "OpenAI",
      "released": "2025-01-31",
      "openWeights": "No",
      "context": 200000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 1.1,
      "outputPrice": 4.4,
      "notes": "Small reasoning model for science, math and coding",
      "source": {
        "title": "OpenAI API changelog (Jan 31, 2025)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Grok 3",
      "lab": "xAI",
      "released": "2025-02-19",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "xAI says context is 8x its previous models; added Think reasoning mode and DeepSearch.",
      "source": {
        "title": "Grok 3 Beta: The Age of Reasoning Agents (xAI)",
        "url": "https://x.ai/news/grok-3"
      }
    },
    {
      "model": "Claude 3.7 Sonnet",
      "lab": "Anthropic",
      "released": "2025-02-24",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 3,
      "outputPrice": 15,
      "notes": "Anthropic calls it the first hybrid reasoning model on the market (instant or extended thinking); launched with Claude Code preview",
      "source": {
        "title": "Anthropic: Claude 3.7 Sonnet and Claude Code",
        "url": "https://www.anthropic.com/news/claude-3-7-sonnet"
      }
    },
    {
      "model": "GPT-4.5",
      "lab": "OpenAI",
      "released": "2025-02-27",
      "openWeights": "No",
      "context": 128000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 75,
      "outputPrice": 150,
      "notes": "Research preview; OpenAI's largest chat model at the time and its most expensive per token; deprecated in April 2025",
      "source": {
        "title": "OpenAI API changelog (Feb 27, 2025)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "QwQ-32B",
      "lab": "Alibaba Qwen",
      "released": "2025-03-06",
      "openWeights": "Yes",
      "context": 131072,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "32B dense reasoning model trained with reinforcement learning, Apache 2.0.",
      "source": {
        "title": "QwQ-32B: Embracing the Power of Reinforcement Learning (Qwen blog)",
        "url": "https://qwenlm.github.io/blog/qwq-32b/"
      }
    },
    {
      "model": "Gemma 3",
      "lab": "Google",
      "released": "2025-03-12",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Open models from 1B to 27B with text and image input",
      "source": {
        "title": "Google: Introducing Gemma 3",
        "url": "https://blog.google/technology/developers/gemma-3/"
      }
    },
    {
      "model": "Command A",
      "lab": "Cohere",
      "released": "2025-03-13",
      "openWeights": "Yes",
      "context": 256000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 2.5,
      "outputPrice": 10,
      "notes": "111B parameters, runs on two GPUs; CC-BY-NC weights",
      "source": {
        "title": "Cohere docs: Command A",
        "url": "https://docs.cohere.com/docs/command-a"
      }
    },
    {
      "model": "Gemini 2.5 Pro",
      "lab": "Google",
      "released": "2025-03-25",
      "openWeights": "No",
      "context": 1048576,
      "modalities": [
        "Text",
        "Image",
        "Audio",
        "Video",
        "PDF"
      ],
      "inputPrice": 1.25,
      "outputPrice": 10,
      "notes": "Thinking model released as experimental; paid preview pricing from April 4, 2025 ($1.25/$10 for prompts up to 200K tokens)",
      "source": {
        "title": "Google: Gemini 2.5, our most intelligent AI model",
        "url": "https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/"
      }
    },
    {
      "model": "Llama 4 Maverick",
      "lab": "Meta",
      "released": "2025-04-05",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "17B active, 400B total parameters, 128 experts; natively multimodal.",
      "source": {
        "title": "The Llama 4 herd (Meta AI)",
        "url": "https://ai.meta.com/blog/llama-4-multimodal-intelligence/"
      }
    },
    {
      "model": "Llama 4 Scout",
      "lab": "Meta",
      "released": "2025-04-05",
      "openWeights": "Yes",
      "context": 10000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "First Llama mixture-of-experts models (17B active, 109B total); Meta called its 10M-token context industry-leading.",
      "source": {
        "title": "The Llama 4 herd (Meta AI)",
        "url": "https://ai.meta.com/blog/llama-4-multimodal-intelligence/"
      }
    },
    {
      "model": "GPT-4.1",
      "lab": "OpenAI",
      "released": "2025-04-14",
      "openWeights": "No",
      "context": 1047576,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 2,
      "outputPrice": 8,
      "notes": "First OpenAI models with a 1M-token context window (with GPT-4.1 mini and nano)",
      "source": {
        "title": "OpenAI API changelog (Apr 14, 2025)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "o3",
      "lab": "OpenAI",
      "released": "2025-04-16",
      "openWeights": "No",
      "context": 200000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 10,
      "outputPrice": 40,
      "notes": "Released with o4-mini; price cut 80% to $2/$8 on 2025-06-10",
      "source": {
        "title": "OpenAI API changelog (Apr 16, 2025)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Qwen3 (Qwen3-235B-A22B)",
      "lab": "Alibaba Qwen",
      "released": "2025-04-29",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Hybrid thinking/non-thinking family; flagship MoE has 235B total and 22B active parameters; Apache 2.0.",
      "source": {
        "title": "Qwen3: Think Deeper, Act Faster (Qwen blog)",
        "url": "https://qwenlm.github.io/blog/qwen3/"
      }
    },
    {
      "model": "Amazon Nova Premier",
      "lab": "Amazon",
      "released": "2025-04-30",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image",
        "Video"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Amazon's most capable Nova 1 model and a teacher for model distillation",
      "source": {
        "title": "AWS News Blog: Amazon Nova Premier",
        "url": "https://aws.amazon.com/blogs/aws/amazon-nova-premier-our-most-capable-model-for-complex-tasks-and-teacher-for-model-distillation/"
      }
    },
    {
      "model": "Mistral Medium 3",
      "lab": "Mistral AI",
      "released": "2025-05-07",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 0.4,
      "outputPrice": 2,
      "notes": "Closed model Mistral pitched at 90% of Claude Sonnet 3.7's benchmark scores for lower cost.",
      "source": {
        "title": "Medium is the new large (Mistral AI)",
        "url": "https://mistral.ai/news/mistral-medium-3"
      }
    },
    {
      "model": "Claude Opus 4",
      "lab": "Anthropic",
      "released": "2025-05-22",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 15,
      "outputPrice": 75,
      "notes": "Claude 4 launch with Sonnet 4 ($3/$15); Claude Code became generally available",
      "source": {
        "title": "Anthropic: Introducing Claude 4",
        "url": "https://www.anthropic.com/news/claude-4"
      }
    },
    {
      "model": "Claude Sonnet 4",
      "lab": "Anthropic",
      "released": "2025-05-22",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 3,
      "outputPrice": 15,
      "notes": "Released alongside Opus 4; available to free claude.ai users",
      "source": {
        "title": "Anthropic: Introducing Claude 4",
        "url": "https://www.anthropic.com/news/claude-4"
      }
    },
    {
      "model": "ERNIE 4.5 (ERNIE-4.5-300B-A47B)",
      "lab": "Baidu",
      "released": "2025-06",
      "openWeights": "Yes",
      "context": 131072,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Baidu's first open-weight ERNIE family (ten variants up to 424B total parameters), Apache 2.0; rollout began June 29-30, 2025.",
      "source": {
        "title": "China's Baidu open-sources its Ernie AI model (SiliconANGLE)",
        "url": "https://siliconangle.com/2025/06/29/chinas-baidu-declares-war-openai-others-open-sourcing-ernie-ai-model/"
      }
    },
    {
      "model": "Magistral Small / Medium",
      "lab": "Mistral AI",
      "released": "2025-06-10",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Mistral's first reasoning models; Small (24B) open under Apache 2.0, Medium closed. Context figure is for Small.",
      "source": {
        "title": "Magistral (Mistral AI)",
        "url": "https://mistral.ai/news/magistral"
      }
    },
    {
      "model": "MiniMax-M1",
      "lab": "MiniMax",
      "released": "2025-06-16",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 0.4,
      "outputPrice": 2.2,
      "notes": "Hybrid-attention reasoning model (456B total, 45.9B active) with a 1M-token context; price shown is for inputs up to 200K tokens. Apache 2.0.",
      "source": {
        "title": "MiniMax-M1 announcement (MiniMax news)",
        "url": "https://www.minimax.io/news/minimaxm1"
      }
    },
    {
      "model": "Grok 4",
      "lab": "xAI",
      "released": "2025-07-09",
      "openWeights": "No",
      "context": 256000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Native tool use and real-time search; API context 256,000 tokens.",
      "source": {
        "title": "Grok 4 (xAI)",
        "url": "https://x.ai/news/grok-4"
      }
    },
    {
      "model": "Kimi K2",
      "lab": "Moonshot AI",
      "released": "2025-07-11",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "MoE with 1T total and 32B active parameters, trained with the Muon optimizer; modified MIT license.",
      "source": {
        "title": "Kimi K2: Open Agentic Intelligence (Moonshot AI)",
        "url": "https://www.kimi.com/en/blog/kimi-k2"
      }
    },
    {
      "model": "GLM-4.5",
      "lab": "Z.ai (Zhipu)",
      "released": "2025-07-28",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "MoE with 355B total and 32B active parameters (Air: 106B/12B), MIT license.",
      "source": {
        "title": "GLM-4.5: Reasoning, Coding, and Agentic Abilities (Z.ai blog)",
        "url": "https://z.ai/blog/glm-4.5"
      }
    },
    {
      "model": "Grok 2 (open weights)",
      "lab": "xAI",
      "released": "2025-08",
      "openWeights": "Yes",
      "context": null,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Weights of the 2024 Grok 2 model published under the Grok 2 Community License Agreement.",
      "source": {
        "title": "xai-org/grok-2 (Hugging Face)",
        "url": "https://huggingface.co/xai-org/grok-2"
      }
    },
    {
      "model": "gpt-oss-120b",
      "lab": "OpenAI",
      "released": "2025-08-05",
      "openWeights": "Yes",
      "context": 131072,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "OpenAI's first open-weight language models since GPT-2 (with gpt-oss-20b); Apache 2.0; 117B total, 5.1B active parameters",
      "source": {
        "title": "OpenAI: Introducing gpt-oss",
        "url": "https://openai.com/index/introducing-gpt-oss/"
      }
    },
    {
      "model": "GPT-5",
      "lab": "OpenAI",
      "released": "2025-08-07",
      "openWeights": "No",
      "context": 400000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 1.25,
      "outputPrice": 10,
      "notes": "Released in three sizes (gpt-5, mini, nano); 272K input plus 128K output tokens",
      "source": {
        "title": "OpenAI: Introducing GPT-5 for developers",
        "url": "https://openai.com/index/introducing-gpt-5-for-developers/"
      }
    },
    {
      "model": "Seed-OSS-36B",
      "lab": "ByteDance Seed",
      "released": "2025-08-20",
      "openWeights": "Yes",
      "context": 512000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "36B dense model trained on 12T tokens with native 512K context, Apache 2.0.",
      "source": {
        "title": "Seed-OSS-36B-Instruct model card (Hugging Face)",
        "url": "https://huggingface.co/ByteDance-Seed/Seed-OSS-36B-Instruct"
      }
    },
    {
      "model": "DeepSeek-V3.1",
      "lab": "DeepSeek",
      "released": "2025-08-21",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Single model with switchable thinking and non-thinking modes; MIT license.",
      "source": {
        "title": "DeepSeek-V3.1 Release (DeepSeek API news)",
        "url": "https://api-docs.deepseek.com/news/news250821"
      }
    },
    {
      "model": "MAI-1-preview",
      "lab": "Microsoft",
      "released": "2025-08-28",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Microsoft AI's first foundation model trained end to end in-house; public testing on LMArena",
      "source": {
        "title": "Microsoft AI: Two in-house models in support of our mission",
        "url": "https://microsoft.ai/news/two-new-in-house-models/"
      }
    },
    {
      "model": "Qwen3-Max-Preview",
      "lab": "Alibaba Qwen",
      "released": "2025-09-05",
      "openWeights": "No",
      "context": 262144,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Alibaba's first model above 1 trillion parameters; API and Qwen Chat only, no open weights.",
      "source": {
        "title": "Qwen3-Max arrives in preview with 1 trillion parameters (VentureBeat)",
        "url": "https://venturebeat.com/ai/qwen3-max-arrives-in-preview-with-1-trillion-parameters-blazing-fast"
      }
    },
    {
      "model": "Claude Sonnet 4.5",
      "lab": "Anthropic",
      "released": "2025-09-29",
      "openWeights": "No",
      "context": 200000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 3,
      "outputPrice": 15,
      "notes": "Sonnet upgrade focused on coding and agents",
      "source": {
        "title": "Anthropic: Introducing Claude Sonnet 4.5",
        "url": "https://www.anthropic.com/news/claude-sonnet-4-5"
      }
    },
    {
      "model": "Claude Haiku 4.5",
      "lab": "Anthropic",
      "released": "2025-10-15",
      "openWeights": "No",
      "context": 200000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 1,
      "outputPrice": 5,
      "notes": "Small model priced at $1/$5",
      "source": {
        "title": "Anthropic: Introducing Claude Haiku 4.5",
        "url": "https://www.anthropic.com/news/claude-haiku-4-5"
      }
    },
    {
      "model": "MiniMax-M2",
      "lab": "MiniMax",
      "released": "2025-10-27",
      "openWeights": "Yes",
      "context": null,
      "modalities": [
        "Text"
      ],
      "inputPrice": 0.3,
      "outputPrice": 1.2,
      "notes": "MoE with 230B total and 10B active parameters aimed at coding and agents; modified MIT license.",
      "source": {
        "title": "MiniMax M2 & Agent: Ingenious in Simplicity (MiniMax news)",
        "url": "https://www.minimax.io/news/minimax-m2"
      }
    },
    {
      "model": "Kimi K2 Thinking",
      "lab": "Moonshot AI",
      "released": "2025-11-06",
      "openWeights": "Yes",
      "context": 256000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Thinking-agent version of K2 (1T total, 32B active) that reasons while calling tools; modified MIT license.",
      "source": {
        "title": "Introducing Kimi K2 Thinking (Moonshot AI)",
        "url": "https://www.kimi.com/en/blog/kimi-k2-thinking"
      }
    },
    {
      "model": "GPT-5.1",
      "lab": "OpenAI",
      "released": "2025-11-13",
      "openWeights": "No",
      "context": 400000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 1.25,
      "outputPrice": 10,
      "notes": "Added a 'none' reasoning setting as the default for faster replies",
      "source": {
        "title": "OpenAI API changelog (Nov 13, 2025)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Gemini 3 Pro",
      "lab": "Google",
      "released": "2025-11-18",
      "openWeights": "No",
      "context": 1048576,
      "modalities": [
        "Text",
        "Image",
        "Audio",
        "Video",
        "PDF"
      ],
      "inputPrice": 2,
      "outputPrice": 12,
      "notes": "First Gemini 3 model, released in preview; price applies to prompts up to 200K tokens",
      "source": {
        "title": "Google: Gemini 3 for developers",
        "url": "https://blog.google/technology/developers/gemini-3-developers/"
      }
    },
    {
      "model": "Claude Opus 4.5",
      "lab": "Anthropic",
      "released": "2025-11-24",
      "openWeights": "No",
      "context": 200000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 5,
      "outputPrice": 25,
      "notes": "Cut Opus pricing from $15/$75 to $5/$25",
      "source": {
        "title": "Anthropic: Introducing Claude Opus 4.5",
        "url": "https://www.anthropic.com/news/claude-opus-4-5"
      }
    },
    {
      "model": "DeepSeek-V3.2",
      "lab": "DeepSeek",
      "released": "2025-12-01",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 0.28,
      "outputPrice": 0.42,
      "notes": "Successor to V3.2-Exp (2025-09-29), which introduced DeepSeek Sparse Attention; first DeepSeek model to integrate thinking into tool use. MIT license.",
      "source": {
        "title": "DeepSeek-V3.2 Release (DeepSeek API news)",
        "url": "https://api-docs.deepseek.com/news/news251201"
      }
    },
    {
      "model": "Amazon Nova 2 Lite",
      "lab": "Amazon",
      "released": "2025-12-02",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image",
        "Video",
        "PDF"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Reasoning model with three thinking levels; Nova 2 Pro released the same day in preview",
      "source": {
        "title": "AWS News Blog: Introducing Amazon Nova 2 Lite",
        "url": "https://aws.amazon.com/blogs/aws/introducing-amazon-nova-2-lite-a-fast-cost-effective-reasoning-model/"
      }
    },
    {
      "model": "Mistral Large 3",
      "lab": "Mistral AI",
      "released": "2025-12-02",
      "openWeights": "Yes",
      "context": 256000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 0.5,
      "outputPrice": 1.5,
      "notes": "675B total / 41B active mixture-of-experts; Apache 2.0 with image understanding.",
      "source": {
        "title": "Introducing Mistral 3 (Mistral AI)",
        "url": "https://mistral.ai/news/mistral-3"
      }
    },
    {
      "model": "GPT-5.2",
      "lab": "OpenAI",
      "released": "2025-12-11",
      "openWeights": "No",
      "context": 400000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 1.75,
      "outputPrice": 14,
      "notes": "Added an xhigh reasoning effort level and compaction",
      "source": {
        "title": "OpenAI API changelog (Dec 11, 2025)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Jamba2",
      "lab": "AI21 Labs",
      "released": "2026-01-08",
      "openWeights": "Yes",
      "context": 256000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Jamba2 3B and Jamba2 Mini (52B total, 12B active); Apache 2.0 weights",
      "source": {
        "title": "AI21 Labs: Introducing Jamba2",
        "url": "https://www.ai21.com/blog/introducing-jamba2/"
      }
    },
    {
      "model": "Kimi K2.5",
      "lab": "Moonshot AI",
      "released": "2026-01-27",
      "openWeights": "Yes",
      "context": 256000,
      "modalities": [
        "Text",
        "Image",
        "Video"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Natively multimodal K2 continuation (about 15T mixed visual and text tokens); 1T total, 32B active; modified MIT license.",
      "source": {
        "title": "Kimi K2.5: Visual Agentic Intelligence (Moonshot AI)",
        "url": "https://www.kimi.com/en/blog/kimi-k2-5"
      }
    },
    {
      "model": "Qwen3.5 (Qwen3.5-397B-A17B)",
      "lab": "Alibaba Qwen",
      "released": "2026-02",
      "openWeights": "Yes",
      "context": 262144,
      "modalities": [
        "Text",
        "Image",
        "Video"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "MoE with 397B total and 17B active parameters; first Qwen open-weight flagship with native vision. Apache 2.0; hosted Qwen3.5-Plus offers 1M context.",
      "source": {
        "title": "Alibaba's Qwen 3.5 397B-A17B (VentureBeat)",
        "url": "https://venturebeat.com/technology/alibabas-qwen-3-5-397b-a17-beats-its-larger-trillion-parameter-model-at-a"
      }
    },
    {
      "model": "Claude Opus 4.6",
      "lab": "Anthropic",
      "released": "2026-02-05",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 5,
      "outputPrice": 25,
      "notes": "First Opus model with a 1M-token context window (in beta at launch)",
      "source": {
        "title": "Anthropic: Claude Opus 4.6",
        "url": "https://www.anthropic.com/news/claude-opus-4-6"
      }
    },
    {
      "model": "GLM-5",
      "lab": "Z.ai (Zhipu)",
      "released": "2026-02-12",
      "openWeights": "Yes",
      "context": 202752,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "MoE with 744B total and 40B active parameters, adopting DeepSeek Sparse Attention; MIT license.",
      "source": {
        "title": "GLM-5: From Vibe Coding to Agentic Engineering (Z.ai blog)",
        "url": "https://z.ai/blog/glm-5"
      }
    },
    {
      "model": "Claude Sonnet 4.6",
      "lab": "Anthropic",
      "released": "2026-02-17",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 3,
      "outputPrice": 15,
      "notes": "1M-token context in beta at launch; default model for Free and Pro plans",
      "source": {
        "title": "Anthropic: Introducing Sonnet 4.6",
        "url": "https://www.anthropic.com/news/claude-sonnet-4-6"
      }
    },
    {
      "model": "Gemini 3.1 Pro",
      "lab": "Google",
      "released": "2026-02-19",
      "openWeights": "No",
      "context": 1048576,
      "modalities": [
        "Text",
        "Image",
        "Audio",
        "Video",
        "PDF"
      ],
      "inputPrice": 2,
      "outputPrice": 12,
      "notes": "Released in preview in the Gemini API and Gemini app; price for prompts up to 200K tokens",
      "source": {
        "title": "Google: Gemini 3.1 Pro",
        "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/"
      }
    },
    {
      "model": "GPT-5.4",
      "lab": "OpenAI",
      "released": "2026-03-05",
      "openWeights": "No",
      "context": 1050000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 2.5,
      "outputPrice": 15,
      "notes": "First GPT-5 model with a 1M-token context window and built-in computer use",
      "source": {
        "title": "OpenAI API changelog (Mar 5, 2026)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Mistral Small 4",
      "lab": "Mistral AI",
      "released": "2026-03-16",
      "openWeights": "Yes",
      "context": 256000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 0.15,
      "outputPrice": 0.6,
      "notes": "119B total / 6.5B active; unifies instruct, reasoning and coding; Apache 2.0.",
      "source": {
        "title": "Introducing Mistral Small 4 (Mistral AI)",
        "url": "https://mistral.ai/news/mistral-small-4"
      }
    },
    {
      "model": "Gemma 4",
      "lab": "Google",
      "released": "2026-04-02",
      "openWeights": "Yes",
      "context": 256000,
      "modalities": [
        "Text",
        "Image",
        "Audio"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Released under the Apache 2.0 license; up to 256K context; audio input on smaller sizes",
      "source": {
        "title": "Google: Gemma 4",
        "url": "https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/"
      }
    },
    {
      "model": "Claude Mythos Preview",
      "lab": "Anthropic",
      "released": "2026-04-07",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 25,
      "outputPrice": 125,
      "notes": "Restricted to Project Glasswing cybersecurity partners; Anthropic does not plan general availability",
      "source": {
        "title": "Anthropic: Project Glasswing",
        "url": "https://www.anthropic.com/glasswing"
      }
    },
    {
      "model": "Muse Spark",
      "lab": "Meta",
      "released": "2026-04-08",
      "openWeights": "No",
      "context": null,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "First model from Meta Superintelligence Labs; launched in meta.ai and the Meta AI app, API only in private preview.",
      "source": {
        "title": "Introducing Muse Spark (Meta AI)",
        "url": "https://ai.meta.com/blog/introducing-muse-spark-msl/"
      }
    },
    {
      "model": "Claude Opus 4.7",
      "lab": "Anthropic",
      "released": "2026-04-16",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 5,
      "outputPrice": 25,
      "notes": "Higher-resolution vision; introduced the current Claude tokenizer",
      "source": {
        "title": "Anthropic: Introducing Claude Opus 4.7",
        "url": "https://www.anthropic.com/news/claude-opus-4-7"
      }
    },
    {
      "model": "DeepSeek-V4-Flash",
      "lab": "DeepSeek",
      "released": "2026-04-24",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 0.14,
      "outputPrice": 0.28,
      "notes": "Smaller V4 preview model with 284B total and 13B active parameters, MIT license.",
      "source": {
        "title": "DeepSeek V4 Preview Release (DeepSeek API news)",
        "url": "https://api-docs.deepseek.com/news/news260424"
      }
    },
    {
      "model": "DeepSeek-V4-Pro",
      "lab": "DeepSeek",
      "released": "2026-04-24",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text"
      ],
      "inputPrice": 1.74,
      "outputPrice": 3.48,
      "notes": "Preview release; MoE with 1.6T total and 49B active parameters, MIT license. Launched at a 75% discount; general availability 2026-08-13.",
      "source": {
        "title": "DeepSeek V4 Preview Release (DeepSeek API news)",
        "url": "https://api-docs.deepseek.com/news/news260424"
      }
    },
    {
      "model": "GPT-5.5",
      "lab": "OpenAI",
      "released": "2026-04-24",
      "openWeights": "No",
      "context": 1050000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 5,
      "outputPrice": 30,
      "notes": "Released with GPT-5.5 Pro for harder problems",
      "source": {
        "title": "OpenAI API changelog (Apr 24, 2026)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Mistral Medium 3.5",
      "lab": "Mistral AI",
      "released": "2026-04-28",
      "openWeights": "Yes",
      "context": 256000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 1.5,
      "outputPrice": 7.5,
      "notes": "Dense 128B model merging instruct, reasoning and coding; modified MIT license.",
      "source": {
        "title": "Mistral changelog (Mistral AI docs)",
        "url": "https://docs.mistral.ai/resources/changelogs"
      }
    },
    {
      "model": "Command A+",
      "lab": "Cohere",
      "released": "2026-05-20",
      "openWeights": "Yes",
      "context": 128000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Cohere's first mixture-of-experts model (218B total, 25B active); Apache 2.0 license",
      "source": {
        "title": "Cohere changelog: Announcing Command A+",
        "url": "https://docs.cohere.com/changelog"
      }
    },
    {
      "model": "Claude Opus 4.8",
      "lab": "Anthropic",
      "released": "2026-05-28",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 5,
      "outputPrice": 25,
      "notes": "Fast mode priced at $10/$50",
      "source": {
        "title": "Anthropic: Introducing Claude Opus 4.8",
        "url": "https://www.anthropic.com/news/claude-opus-4-8"
      }
    },
    {
      "model": "MiniMax-M3",
      "lab": "MiniMax",
      "released": "2026-06-01",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image",
        "Video"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Native multimodal MoE (about 428B total, 23B active) with MiniMax Sparse Attention; weights followed within about 10 days under the MiniMax Community License.",
      "source": {
        "title": "MiniMax M3: Frontier Coding, 1M Context, Native Multimodality (MiniMax)",
        "url": "https://www.minimax.io/blog/minimax-m3"
      }
    },
    {
      "model": "Nemotron 3 Ultra",
      "lab": "NVIDIA",
      "released": "2026-06-04",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "550B total / 55B active hybrid Mamba-Transformer mixture-of-experts; OpenMDW-1.1 license.",
      "source": {
        "title": "NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 model card (Hugging Face)",
        "url": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16"
      }
    },
    {
      "model": "Claude Fable 5",
      "lab": "Anthropic",
      "released": "2026-06-09",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 10,
      "outputPrice": 50,
      "notes": "New tier above Opus; Claude Mythos 5, released the same day, is offered only through a trusted access program",
      "source": {
        "title": "Anthropic: Claude Fable 5 and Claude Mythos 5",
        "url": "https://www.anthropic.com/news/claude-fable-5-mythos-5"
      }
    },
    {
      "model": "GLM-5.2",
      "lab": "Z.ai (Zhipu)",
      "released": "2026-06-16",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Long-horizon model with a 1M-token context, MIT license.",
      "source": {
        "title": "GLM-5.2: Built for Long-Horizon Tasks (Z.ai blog)",
        "url": "https://z.ai/blog/glm-5.2"
      }
    },
    {
      "model": "Claude Sonnet 5",
      "lab": "Anthropic",
      "released": "2026-06-30",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 2,
      "outputPrice": 10,
      "notes": "Launched at $2/$10 introductory pricing, later made the standard price",
      "source": {
        "title": "Anthropic: Introducing Claude Sonnet 5",
        "url": "https://www.anthropic.com/news/claude-sonnet-5"
      }
    },
    {
      "model": "GPT-5.6 Sol",
      "lab": "OpenAI",
      "released": "2026-07-09",
      "openWeights": "No",
      "context": 1050000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 4,
      "outputPrice": 20,
      "notes": "Flagship of the GPT-5.6 family, released with GPT-5.6 Terra ($2/$12) and Luna ($0.20/$1.20)",
      "source": {
        "title": "OpenAI API changelog (Jul 9, 2026)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Inkling",
      "lab": "Thinking Machines Lab",
      "released": "2026-07-15",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image",
        "Audio"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Thinking Machines' first model; 975B total / 41B active mixture-of-experts; Apache 2.0.",
      "source": {
        "title": "Inkling: Our Open-Weights Model (Thinking Machines Lab)",
        "url": "https://thinkingmachines.ai/news/introducing-inkling/"
      }
    },
    {
      "model": "Kimi K3",
      "lab": "Moonshot AI",
      "released": "2026-07-16",
      "openWeights": "Yes",
      "context": 1048576,
      "modalities": [
        "Text",
        "Image",
        "Video"
      ],
      "inputPrice": 3,
      "outputPrice": 15,
      "notes": "2.8T-parameter MoE (model card: 104B active) that Moonshot calls the first open 3T-class model; weights promised by 2026-07-27 under the Kimi K3 License.",
      "source": {
        "title": "Kimi K3: Open Frontier Intelligence (Moonshot AI)",
        "url": "https://www.kimi.com/en/blog/kimi-k3"
      }
    },
    {
      "model": "Grok 4.5",
      "lab": "xAI",
      "released": "2026-07-16",
      "openWeights": "No",
      "context": 500000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 2,
      "outputPrice": 6,
      "notes": "Published under the SpaceXSI brand (SpaceX Super Intelligence LLC) on x.ai; aimed at coding, agentic tasks and knowledge work.",
      "source": {
        "title": "Introducing Grok 4.5 (SpaceXSI)",
        "url": "https://x.ai/news/grok-4-5"
      }
    },
    {
      "model": "Claude Opus 5",
      "lab": "Anthropic",
      "released": "2026-07-24",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 5,
      "outputPrice": 25,
      "notes": "Anthropic says it comes close to Fable 5 at half the price",
      "source": {
        "title": "Anthropic: Introducing Claude Opus 5",
        "url": "https://www.anthropic.com/news/claude-opus-5"
      }
    },
    {
      "model": "Qwen3.8-Max",
      "lab": "Alibaba Qwen",
      "released": "2026-08-03",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "MoE with 2.4T total and 95B active parameters; API first, open weights (Qwen3.8-2.4T-A95B, text-only, custom license) followed in August 2026.",
      "source": {
        "title": "Alibaba Unveils Qwen3.8-Max (Alibaba Group)",
        "url": "https://www.alibabagroup.com/document-2021044032125272064"
      }
    },
    {
      "model": "MAI-Thinking-1",
      "lab": "Microsoft",
      "released": "2026-08-12",
      "openWeights": "No",
      "context": 256000,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Microsoft AI's first reasoning model; announced at Build on 2026-06-02 in private preview, public preview on Microsoft Foundry from 2026-08-12",
      "source": {
        "title": "Microsoft AI: Introducing MAI-Thinking-1",
        "url": "https://microsoft.ai/news/introducing-mai-thinking-1/"
      }
    },
    {
      "model": "GLM-5.3",
      "lab": "Z.ai (Zhipu)",
      "released": "2026-08-18",
      "openWeights": "Yes",
      "context": 1048576,
      "modalities": [
        "Text"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Same base as GLM-5.2 with stronger coding; moved from MIT to a custom GLM-5.3 license with conditions for large model-as-a-service operators.",
      "source": {
        "title": "Z.ai release notes (New Released)",
        "url": "https://docs.z.ai/release-notes/new-released"
      }
    },
    {
      "model": "Claude Fable 5.1",
      "lab": "Anthropic",
      "released": "2026-09-01",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 10,
      "outputPrice": 50,
      "notes": "Same model as Claude Mythos 5.1 with different safeguards; Mythos 5.1 is limited to trusted access programs",
      "source": {
        "title": "Claude Docs: Claude Fable 5.1 overview",
        "url": "https://platform.claude.com/docs/en/models/fable-5-1/overview"
      }
    },
    {
      "model": "Gemini 3.8 Flash",
      "lab": "Google",
      "released": "2026-09-02",
      "openWeights": "No",
      "context": 1048576,
      "modalities": [
        "Text",
        "Image",
        "Audio",
        "Video",
        "PDF"
      ],
      "inputPrice": 0.75,
      "outputPrice": 3.75,
      "notes": "Introductory price through December 31, 2026, rising to $1.50/$7.50",
      "source": {
        "title": "Google: Gemini 3.8 Flash and 3.8 Flash Cyber",
        "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-cyber/"
      }
    },
    {
      "model": "Muse Spark 1.3",
      "lab": "Meta",
      "released": "2026-09-02",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image",
        "Video",
        "PDF"
      ],
      "inputPrice": 1.25,
      "outputPrice": 4.25,
      "notes": "Available in Muse Code and the Meta Model API; a cheaper contributor tier lets Meta use data to improve products.",
      "source": {
        "title": "Introducing Muse Spark 1.3 (Meta AI Research)",
        "url": "https://research.meta.ai/blog/introducing-muse-spark-1-3"
      }
    },
    {
      "model": "GPT-6 Astra",
      "lab": "OpenAI",
      "released": "2026-09-03",
      "openWeights": "No",
      "context": 1050000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 10,
      "outputPrice": 50,
      "notes": "OpenAI's flagship GPT-6 model; does not support the 'none' reasoning level",
      "source": {
        "title": "OpenAI API changelog (Sep 3, 2026)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "DeepSeek-V4.1-Flash",
      "lab": "DeepSeek",
      "released": "2026-09-10",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 0.3,
      "outputPrice": 1.2,
      "notes": "552B-parameter MoE with a causal encoder-decoder design (8B active for input, 16B for output) and native vision; MIT license. Prices are peak rates; off-peak is half.",
      "source": {
        "title": "DeepSeek-V4.1-Flash Release (DeepSeek API news)",
        "url": "https://api-docs.deepseek.com/news/news260910"
      }
    },
    {
      "model": "Grok 4.7",
      "lab": "xAI",
      "released": "2026-09-21",
      "openWeights": "No",
      "context": 500000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 2,
      "outputPrice": 6,
      "notes": "New, larger base model than Grok 4.6, same price.",
      "source": {
        "title": "Introducing Grok 4.7 (SpaceXSI)",
        "url": "https://x.ai/news/grok-4-7"
      }
    },
    {
      "model": "Claude Opus 5.5",
      "lab": "Anthropic",
      "released": "2026-09-22",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 4,
      "outputPrice": 20,
      "notes": "First model in the Claude 5.5 family; prices 20% below Opus 5",
      "source": {
        "title": "Anthropic: Claude Opus 5.5",
        "url": "https://www.anthropic.com/claude-opus-5-5"
      }
    },
    {
      "model": "GPT-6 Luna",
      "lab": "OpenAI",
      "released": "2026-09-22",
      "openWeights": "No",
      "context": 1050000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 0.1,
      "outputPrice": 0.5,
      "notes": "Lowest-cost GPT-6 model, for high-volume tasks",
      "source": {
        "title": "OpenAI API changelog (Sep 22, 2026)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "GPT-6 Sol",
      "lab": "OpenAI",
      "released": "2026-09-22",
      "openWeights": "No",
      "context": 1050000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 2,
      "outputPrice": 10,
      "notes": "Half the per-token price of GPT-5.6 Sol; replaced by GPT-6.1 Sol a week later",
      "source": {
        "title": "OpenAI API changelog (Sep 22, 2026)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "MiMo-V2.6-Pro",
      "lab": "Xiaomi",
      "released": "2026-09-22",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image",
        "Video",
        "Audio"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "MoE with 1.02T total and 42B active parameters; Xiaomi released weights, technical report, RL environments and code under MIT.",
      "source": {
        "title": "Introducing MiMo-V2.6 series (Xiaomi MiMo)",
        "url": "https://mimo.xiaomi.com/mimo-v2-6"
      }
    },
    {
      "model": "Claude Sonnet 5.5",
      "lab": "Anthropic",
      "released": "2026-09-28",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 2,
      "outputPrice": 10,
      "notes": "Same price as Sonnet 5 with cache reads halved to $0.10",
      "source": {
        "title": "Anthropic: Claude Sonnet 5.5",
        "url": "https://www.anthropic.com/claude-sonnet-5-5"
      }
    },
    {
      "model": "GPT-6.1 Sol",
      "lab": "OpenAI",
      "released": "2026-09-29",
      "openWeights": "No",
      "context": 1050000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 2,
      "outputPrice": 10,
      "notes": "Released at DevDay 2026; same list price as GPT-6 Sol",
      "source": {
        "title": "OpenAI API changelog (Sep 29, 2026)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    },
    {
      "model": "Mistral Large 4",
      "lab": "Mistral AI",
      "released": "2026-10-06",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "52B active / 1.05T total mixture-of-experts in public preview; Mistral says open weights are coming soon. Model card lists $1.36/$4.18; a 50% launch discount applied for two weeks.",
      "source": {
        "title": "Mistral Large 4 model card (Mistral AI docs)",
        "url": "https://docs.mistral.ai/models/mistral-large-4-0"
      }
    },
    {
      "model": "Claude Haiku 5.5",
      "lab": "Anthropic",
      "released": "2026-10-07",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 0.1,
      "outputPrice": 0.5,
      "notes": "Price shown is for prompts up to 100K tokens; longer prompts cost $0.50/$2.50",
      "source": {
        "title": "Anthropic: Introducing Claude Haiku 5.5",
        "url": "https://www.anthropic.com/news/claude-haiku-5-5"
      }
    },
    {
      "model": "Muse Wonder",
      "lab": "Meta",
      "released": "2026-10-12",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 4,
      "outputPrice": 20,
      "notes": "Meta's first frontier model, for long-running agents and computer use; available via Meta Model API and Muse Code.",
      "source": {
        "title": "Muse Wonder: A Frontier Model For Personal & Professional AI Agents (Meta AI Research)",
        "url": "https://research.meta.ai/blog/muse-wonder"
      }
    },
    {
      "model": "Gemini 4 Argon",
      "lab": "Google",
      "released": "2026-10-13",
      "openWeights": "No",
      "context": 1048576,
      "modalities": [
        "Text",
        "Image",
        "Audio",
        "Video",
        "PDF"
      ],
      "inputPrice": 2,
      "outputPrice": 10,
      "notes": "Announced September 30, 2026 for Fairwind Program cyber defenders; GA October 13 at an introductory price through November 30, then $4/$20; context shared by input, thinking and output",
      "source": {
        "title": "Google: Gemini 4 Argon is now available",
        "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/"
      }
    },
    {
      "model": "Muse Spark Open",
      "lab": "Meta",
      "released": "2026-10-15",
      "openWeights": "Yes",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image",
        "Audio",
        "Video"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "816B total / 42B active; Meta calls it the most capable US open-weight model to date. Muse Model License with limited commercial terms.",
      "source": {
        "title": "Introducing Muse Spark Open (Meta AI Research)",
        "url": "https://research.meta.ai/blog/muse-spark-open"
      }
    },
    {
      "model": "Kimi K3.1 Pro",
      "lab": "Moonshot AI",
      "released": "2026-10-24",
      "openWeights": "No",
      "context": 1000000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": null,
      "outputPrice": null,
      "notes": "Available in Kimi apps and API; Moonshot says full weights will be released by 2026-11-04, so weights were not yet public as of 2026-10-29.",
      "source": {
        "title": "Kimi K3.1 Pro (Moonshot AI)",
        "url": "https://www.kimi.com/en/blog/kimi-k3-1-pro"
      }
    },
    {
      "model": "GPT-6.1 Terra",
      "lab": "OpenAI",
      "released": "2026-10-26",
      "openWeights": "No",
      "context": 1050000,
      "modalities": [
        "Text",
        "Image"
      ],
      "inputPrice": 1,
      "outputPrice": 5,
      "notes": "Mid-priced GPT-6 model for visual reasoning and computer use",
      "source": {
        "title": "OpenAI API changelog (Oct 26, 2026)",
        "url": "https://developers.openai.com/api/docs/changelog"
      }
    }
  ]
}