tashfeenahmed/freellmapi: 7.4 billion tokens per month. 34 free LLM providers. 635 free model endpoints. All behind one /v1 endpoint, plus any custom OpenAI-compatible endpoint. Smart routing, automat
Why CEREBRO kept it
Multi-model LLM router, token/cost optimization
The text below is an automated extraction of the article at https://github.com/tashfeenahmed/freellmapi, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).
7.4 billion tokens per month. 34 free LLM providers. 635 free model endpoints. One OpenAI-compatible endpoint. Aggregate free tiers from dozens of providers, plus custom OpenAI-compatible chat, embedding, image, and audio endpoints, behind a single /v1 API. Keys are stored encrypted. A router picks the best available model for each request, falls over to the next provider when one is rate-limited, and tracks per-key usage so you stay under every free-tier cap. freellmapi.co · browse the full catalog: 474 model families, 635 free endpoints English · 简体中文 Your router updates its own model catalo
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