The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Llm Prices Data listing page.
Machine-readable LLM API pricing for 209 current models across 33 providers (OpenAI, Anthropic, Google, Mistral, xAI, DeepSeek, Meta, Groq, Together, …), maintained by modelpricewatch.com. Every price links to the provider's official pricing page; prices are cross-checked daily against an independent reference and top models are re-read weekly from the provider pages with dated receipts.
Last sync: 2026-09-11. This repo is updated automatically after each refresh cycle.
| File | What it is |
|---|---|
models.json | Every tracked model: input/output/cached $ per 1M tokens, context window, modality, category, status, source URL |
providers.json | Provider metadata + official pricing-page URLs |
price-history.json / price-history.csv | Per-model price timeline (15300 dated points; see caveats) |
llm-price-index.csv | The LLM Price Index — one number for the blended cost of frontier intelligence, daily series |
CHANGELOG.md | Human-readable launches & price changes |
mcp/ | MCP server: query these prices live from Claude/Cursor — npx -y @modelpricewatch/mcp or HTTP https://modelpricewatch.com/mcp |
The same data, always current, CORS-open:
Docs: https://modelpricewatch.com/api/ · Price-change feed (Atom): https://modelpricewatch.com/news/feed.xml
A fixed, equal-weighted basket of frontier flagship models, blended 3:1 input:output, re-verified daily — a single citeable number for "what does a million tokens of frontier intelligence cost?" Methodology: https://modelpricewatch.com/price-index/methodology/
source: our own verified/snapshot captures
vs litellm-archive (reconstructed from the open-source LiteLLM repo's git
history — marked, never mixed silently).Data: CC-BY-4.0 — free for any use, with attribution to modelpricewatch.com. MCP bridge code: MIT.