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AI Models Catalog
This repository catalogs AI models across providers with pricing, context, modality, and capability data.
About AI Models Catalog
AI Models Catalog is a structured, machine-readable catalog of AI model providers and their models. Data is stored as YAML files under providers//models/ and covers pricing, context and output limits, input/output modalities, and capability flags such as reasoning, tool calling, attachment, and structured output. It includes TypeScript types and Zod schemas, with scripts to sync from first-party sources and validate the files.
All data comes from first-party APIs and official documentation. Deprecated models are kept with a deprecated flag, while retired inaccessible models are excluded, and models with missing required data are skipped.
Key features
- YAML model files with pricing, limits, and modalities
- Records reasoning, tool calling, attachment, structured output flags
- Supports token, per-second, per-image, and free pricing types
- Tracks model snapshots with inheritance and deprecation flags
- TypeScript types with Zod runtime validation schemas
- Sync scripts fetch data from first-party provider sources
Best for: Developers building tools that need structured AI model pricing, limits, and capability data.
Good for
- Data sourced from first-party APIs and official documentation
- Human-readable YAML that is machine-parseable
- MIT licensed open-source repository
Watch out for
- Retired inaccessible models are excluded from the catalog
- Models with missing required data are skipped
AI Models Catalog at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Free
- Platforms
- Windows
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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AI Models Catalog FAQ
How is model data stored?
As YAML files under providers//models/, with each file representing one model and its snapshots.
How do I update and check the data?
Run npx tsx scripts/sync.ts with an optional provider id to fetch data, and npx tsx scripts/validate.ts to validate YAML against the schemas.
What pricing types are defined?
Token pricing per million tokens, video pricing per second, unit pricing per image or request, and free pricing.
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