How to Get a Free Glhf.chat API Key (2026)
2 free models available — no credit card required. Get your Glhf.chat API key → Test free models →
Glhf.chat FreeLLM Score
All Free Glhf.chat Models — Context Windows & Rate Limits
| Model | Context | Max Output | Modality | Rate Limit | Released | Status |
|---|---|---|---|---|---|---|
| Mixtral 8x7B | 33K | 0 | Unlimited for free models | — | Online | |
| Llama 3.1 70B | 131K | 8K | Unlimited for free models | Jul 23, 2024 | Online |
What is Glhf.chat?
Unlimited free inference — Llama 3.1 70B and Mixtral 8x7B.
Glhf.chat provides free, unlimited API access to Llama 3.1 70B and Mixtral 8x7B models. The platform is community-supported and offers an OpenAI-compatible endpoint with no rate limits for free models. No credit card required.
- Unlimited free inference
- Llama 3.1 70B + Mixtral 8x7B
- No rate limits on free models
- OpenAI-compatible endpoint
API Compatibility: OpenAI SDK-compatible (Chat Completions)
How to Get a Glhf.chat API Key
- 1
- 2 Go to API Keys
- 3 Create a new API key
- 4 Choose a model Llama 3.1 70B and Mixtral 8x7B. Unlimited rate for free models.
- 5 Configure OpenAI client Base URL: https://glhf.chat/api/openai/v1
Glhf.chat Free Tier Limits & Pricing
Glhf.chat API Setup Tutorial & Tools
Glhf.chat is fully compatible with popular AI coding assistants like Cursor, Claude Code, and more. To see step-by-step API configuration instructions for your favorite tool, please visit our Global Configuration Guide →
Use Cases
What Glhf.chat's free models are best for, based on aggregated model capabilities:
Limitations & Caveats
- Small independent provider — limited track record
- Only 2 models available
- Rate limits unpublished, may change without notice
Frequently Asked Questions
Is Glhf.chat really unlimited for free models?
Glhf.chat claims no rate limits for free models, but as a small community provider, sustained heavy use may eventually be throttled. It's best for prototyping and personal projects.
Why choose Glhf.chat over Groq or OpenRouter?
Glhf.chat's main advantage is simplicity — no rate limits, no registration friction. However, Groq and OpenRouter offer far more models and better infrastructure reliability.
What's the difference between Llama 3.1 70B on Glhf.chat vs Groq?
Same model weights, different hardware. Groq uses LPU chips (faster inference, ~2,500 tok/s). Glhf.chat uses standard GPUs (slower but still reasonable). Groq has better uptime and more rate limit headroom.