# Models.dev: open-source database of AI model specs, pricing, and capabilities > Source: > Published: 2026-05-22 20:26:07+00:00 [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: ``` ``` 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`/` .`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).