freellmpool › guide
The cheapest alternative to the OpenAI API is the free tier that many providers already give away — Groq, Cerebras, NVIDIA, Google Gemini, OpenRouter, Cloudflare, Mistral and Cohere each offer one. The catch is that each has its own SDK, rate limit, and daily cap. The simplest way to use them is freellmpool, an open-source tool that pools all of those free tiers behind a single OpenAI-compatible endpoint, with automatic failover, and works with no API key to start.
pip install freellmpool
export OPENAI_BASE_URL=http://localhost:8080/v1 # after: freellmpool proxy
# your existing OpenAI SDK code now runs on free models, unchanged
| Option | Free? | API key? | OpenAI-compatible |
|---|---|---|---|
| Provider free tiers (Groq, Cerebras, …) | Yes, per-provider limits | Usually yes | Mostly |
| freellmpool (pools all of them) | Yes | No to start | Yes (drop-in) |
| OpenRouter | A few rate-limited free models | Yes | Yes |
| Local models (Ollama, llama.cpp) | Yes (your hardware) | No key | Via a wrapper |
Free-tier models are smaller than GPT-class frontier models — great for drafting, classification, summarization, and everyday coding, not the hardest reasoning. Daily limits reset at UTC midnight.
OpenAI itself doesn't offer a free API tier, but several other providers do, and freellmpool lets you
use them through the same OpenAI-compatible interface — two of them (Pollinations, OVHcloud) need no key
at all, so pip install freellmpool && freellmpool ask "..." works immediately.
Yes. Point OPENAI_BASE_URL at the local freellmpool proxy; the SDK calls are unchanged and
common model names like gpt-4o-mini are mapped to a free equivalent.