Models.dev: open-source database of AI model specs, pricing, and capabilities

Models.dev is an open-source, community-contributed database that provides comprehensive specifications, pricing, and capabilities for AI models, accessible via an API and stored as TOML files organized by provider. The project aims to address the lack of a single, centralized database for all available AI models, and it relies on community contributions to keep the data up to date. Users can add new models by creating provider directories with TOML configuration files and SVG logos, following specific formatting guidelines for model attributes like cost, limits, and supported modalities.

Models.dev https://models.dev is a comprehensive open-source database of AI model specifications, pricing, and capabilities. There's no single database with information about all the available AI models. We started Models.dev as a community-contributed project to address this. We also use it internally in opencode https://opencode.ai . You can access this data through an API. curl https://models.dev/api.json Use the Model ID field to do a lookup on any model; it's the identifier used by AI SDK https://ai-sdk.dev/ . Provider logos are available as SVG files: curl https://models.dev/logos/{provider}.svg Replace {provider} with the Provider ID e.g., anthropic , openai , google . If we don't have a provider's logo, a default logo is served instead. The data is stored in the repo as TOML files; organized by provider and model. The logo is stored as an SVG. This is used to generate this page and power the API. We need your help keeping the data up to date. To add a new model, start by checking if the provider already exists in the providers/ directory. If not, then: If the provider isn't already in providers/ : - Create a new folder in providers/ with the provider's ID. For example, providers/newprovider/ . - Add a provider.toml with the provider details: name = "Provider Name" npm = "@ai-sdk/provider" AI SDK Package name env = "PROVIDER API KEY" Environment Variable keys used for auth doc = "https://example.com/docs/models" Link to provider's documentation If the provider doesn’t publish an npm package but exposes an OpenAI-compatible endpoint, set the npm field accordingly and include the base URL: npm = "@ai-sdk/openai-compatible" Use OpenAI-compatible SDK api = "https://api.example.com/v1" Required with openai-compatible To add a logo for the provider: - Add a logo.svg file to the provider's directory e.g., providers/newprovider/logo.svg - Use SVG format with no fixed size or colors - use currentColor for fills/strokes Example SVG structure: <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor" < -- Logo paths here -- </svg Create a new TOML file in the provider's models/ directory where the filename is the model ID. If the model ID contains / , use subfolders. For example, for the model ID openai/gpt-5 , create a folder openai/ and place a file named gpt-5.toml inside it. name = "Model Display Name" attachment = true or false - supports file attachments reasoning = false or true - supports reasoning / chain-of-thought tool call = true or false - supports tool calling structured output = true or false - supports a dedicated structured output feature temperature = true or false - supports temperature control knowledge = "2024-04" Knowledge-cutoff date release date = "2025-02-19" First public release date last updated = "2025-02-19" Most recent update date open weights = true or false - model’s trained weights are publicly available cost input = 3.00 Cost per million input tokens USD output = 15.00 Cost per million output tokens USD reasoning = 15.00 Cost per million reasoning tokens USD cache read = 0.30 Cost per million cached read tokens USD cache write = 3.75 Cost per million cached write tokens USD input audio = 1.00 Cost per million audio input tokens USD output audio = 10.00 Cost per million audio output tokens USD limit context = 400 000 Maximum context window tokens input = 272 000 Maximum input tokens output = 8 192 Maximum output tokens modalities input = "text", "image" Supported input modalities output = "text" Supported output modalities interleaved field = "reasoning content" Name of the interleaved field "reasoning content" or "reasoning details" For wrapper providers that mirror a model from another provider, prefer reusing the canonical model definition instead of duplicating the whole file. Use extends only for non-first-party wrappers and mirrors. Do not use it inside the actual lab provider directories that act as the canonical source for a model family, for example providers/anthropic/ , providers/openai/ , providers/google/ , providers/xai/ , providers/minimax/ , or providers/moonshot/ . extends from = "anthropic/claude-opus-4-6" omit = "experimental.modes.fast" provider npm = "@ai-sdk/anthropic" Rules: from must point to another model using <provider /<model-id . omit is optional and removes fields after the inherited model and local overrides are merged.- You can override any top-level model field locally. - If you override a nested table like cost , limit , or modalities , include the full values needed for that table. id still comes from the filename; do not add it to the TOML. Use extends when the wrapper model is materially the same as the source model and only differs by a small set of overrides or omitted fields. - Fork this repo - Create a new branch with your changes - Add your provider and/or model files - Open a PR with a clear description There's a GitHub Action that will automatically validate your submission against our schema to ensure: - All required fields are present - Data types are correct - Values are within acceptable ranges - TOML syntax is valid When converting existing wrapper models to extends , compare generated output before and after the change: bun run compare:migrations This prints a diff for each changed model TOML so you can confirm the generated JSON only changed where you intended. Models must conform to the following schema, as defined in packages/core/src/schema.ts . Provider Schema: name : String - Display name of the provider npm : String - AI SDK Package name env : String - Environment variable keys used for auth doc : String - Link to the provider's documentation api optional : String - OpenAI-compatible API endpoint. Required only when using @ai-sdk/openai-compatible as the npm package Model Schema: name : String — Display name of the model attachment : Boolean — Supports file attachments reasoning : Boolean — Supports reasoning / chain-of-thought tool call : Boolean - Supports tool calling structured output optional : Boolean — Supports structured output feature temperature optional : Boolean — Supports temperature control knowledge optional : String — Knowledge-cutoff date in YYYY-MM or YYYY-MM-DD format release date : String — First public release date in YYYY-MM or YYYY-MM-DD last updated : String — Most recent update date in YYYY-MM or YYYY-MM-DD open weights : Boolean - Indicate the model's trained weights are publicly available interleaved optional : Boolean or Object — Supports interleaved reasoning. Use true for general support or an object with field to specify the format interleaved.field : String — Name of the interleaved field "reasoning content" or "reasoning details" cost.input : Number — Cost per million input tokens USD cost.output : Number — Cost per million output tokens USD cost.reasoning optional : Number — Cost per million reasoning tokens USD cost.cache read optional : Number — Cost per million cached read tokens USD cost.cache write optional : Number — Cost per million cached write tokens USD cost.input audio optional : Number — Cost per million audio input tokens, if billed separately USD cost.output audio optional : Number — Cost per million audio output tokens, if billed separately USD limit.context : Number — Maximum context window tokens limit.input : Number — Maximum input tokens limit.output : Number — Maximum output tokens modalities.input : Array of strings — Supported input modalities e.g., "text", "image", "audio", "video", "pdf" modalities.output : Array of strings — Supported output modalities e.g., "text" status optional : String — Supported status: alpha - Indicate the model is in alpha testing beta - Indicate the model is in beta testing deprecated - Indicate the model is no longer served by the provider's public API See existing providers in the providers/ directory for reference: providers/anthropic/ - Anthropic Claude models providers/openai/ - OpenAI GPT models providers/google/ - Google Gemini models Make sure you have Bun https://bun.sh/ installed. bash $ bun install $ cd packages/web $ bun run dev And it'll open the frontend at http://localhost:3000 http://localhost:3000 You can manually check provider changes with opencode by: bash $ bun install $ cd packages/web $ bun run build $ OPENCODE MODELS PATH="dist/ api.json" opencode Open an issue if you need help or have questions about contributing. Models.dev is created by the maintainers of SST https://sst.dev .