Free LLM Models in 2026: A Practical Guide to Groq, Mistral, Gemini Free Tiers
Free LLM tiers have quietly gotten very good. Here's how to actually use them at scale without a mountain of glue code.
The free tier landscape
- Groq — fast inference, generous free tier
- Mistral — strong models, big free quotas
- Gemini — solid free tier via Google AI Studio
- NVIDIA NIM — free model access on NIM
- OpenRouter — free tiers of many models
The problem: one endpoint, many providers
Each provider has a different API shape and rate limits. You don't want to maintain five clients.
The fix
FreeGate normalizes all of them behind one OpenAI-compatible endpoint. One chat/completions call, automatic rotation, smart failover.
Install in two commands
npx freegate init -i # interactive setup: keys for each provider
npx freegate start
FAQ
Do I need keys for every provider? No — add keys for the ones you have; FreeGate uses what's configured.
Can I run it in CI? Yes, and the disk cache prevents repeated prompts from burning limits.
