benchgecko is an open-source Python SDK and API for querying AI model benchmarks, pricing, and performance data across hundreds of providers. It enables developers and researchers to make informed decisions about AI model selection and deployment.
benchgecko is a LLM eval & observability project. Allowing developers to access and compare AI model benchmarks, pricing, and performance data programmatically. benchgecko is an open-source project aimed at AI developers and researchers. The project is open source (MIT). benchgecko is available on the web, the command line, and API.
It is developed by BenchGecko, and it first shipped in 2026. Development happens publicly on GitHub with 2 commits in the last 90 days. Among its 5 catalogued features are model benchmarks, cross-provider pricing, and performance data. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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