Status: [LIVE]
Endpoints found:
https://api.star-history.com/chart?repos=tashfeenahmed/freellmapi&type=date&legend=top-left)](https://www.star-history.com/?repos=tashfeenahmed%2Ffreellm
Source: https://github.com/rahamanleon/freellmapi
# FreeLLMAPI
**One OpenAI-compatible endpoint. Twelve free LLM providers. ~1B+ tokens per month.**
Aggregate the free tiers from Google, Groq, Cerebras, SambaNova, NVIDIA, Mistral, OpenRouter, GitHub Models, Cohere, Cloudflare, HuggingFace, and Z.ai (Zhipu) behind a single `/v1/chat/completions` endpoint. 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.
[](https://github.com/tashfeenahmed/freellmapi/actions/workflows/ci.yml)
[](./LICENSE)
[](#contributing)

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## Contents
- [Why this exists](#why-this-exists)
- [Supported providers](#supported-providers)
- [Features](#features)
- [Not yet supported](#not-yet-supported)
- [Quick start](#quick-start)
- [Using the API](#using-the-api)
- [Screenshots](#screenshots)
- [How it works](#how-it-works)
- [Limitations](#limitations)
- [Contributing](#contributing)
- [Terms of Service review](#terms-of-service-review)
- [Disclaimer](#disclaimer)
## Why this exists
Every serious AI lab now offers a free tier — a few million tokens a month, a few thousand requests a day. On its own each tier is a toy. Stacked together, they add up to roughly **1.3 billion tokens per month** of working inference capacity, across dozens of models from small-and-fast to reasonably capable.
The problem is that stacking them by hand is painful: fourteen different SDKs, fourteen different rate limits, fourteen places a request can fail. FreeLLMAPI collapses that into one OpenAI-compatible endpoint. Point any OpenAI client library at your local server, and i