Stacking Free LLM Tiers: Combine OpenRouter, Gemini, and Groq

Stop hitting 429 Too Many Requests. Stacking free tiers is the secret to building high-volume AI applications without a credit card.

The Stacking Strategy

Instead of relying on one provider, you pool them. For example:

• OpenRouter: ~50 req/day free.
• Groq: 14,400 req/day free (very fast inference).
• Cerebras: 1M tokens/day free.

Stacking with freelm

freelm is an open-source Python gateway built for exactly this. It pools all these providers behind one call, paces each key with a requests-per-minute bucket, and fails over automatically.

from freelm import FreeLLM, OpenRouter, GoogleAIStudio, NIM

llm = FreeLLM(
    providers=[
        OpenRouter("sk-or-...", tier="free"),
        GoogleAIStudio("AIza...", tier="free"),
        NIM("nvapi-..."),
    ],
    strategy="quota_aware"
)

Quota-Aware Routing

We designed the quota_aware strategy so that unlimited-quota providers rank high but deplete as used, spreading traffic perfectly to prevent surprise bans.

Frequently Asked Questions (FAQ)

Q: What happens if all providers are down?
A: freelm either raises a clear NoProvidersAvailable error or, with wait=True, briefly sleeps until a key recovers.

Q: Where do I get the package?
A: pip install freelm directly from PyPI.

Summary

Stacking limits with freelm turns fragile hobby projects into production-grade systems.