Open-sourcing the LLM pricing database!!

Keeping LLM pricing accurate is difficult because it isn’t static. Models change, pricing shifts, and new billing dimensions are introduced over time.

To handle this, we built a never-goes-old database that powers cost calculations ~$250,000 in LLM spend, every day.

We’ve now open-sourced the pricing database produced by this system so others can inspect how pricing is tracked, reuse the data, and understand the assumptions behind cost calculations.

The database covers 2,000+ models across 40+ providers, including thinking tokens, cache pricing, context tiers, and non-token fees. It’s available via a free public API with no authentication required.

Take a look ->https://portkey.ai/models