GPT_API_free
A relay service offering API access to GPT, DeepSeek and other LLMs, with a free tier and paid tiers.
- Stars
- 45.3k
- Forks
- 2.8k
- Licence
- MIT
- Language
- —
- Last update
- 7 days ago
- Type
- Other
What it is
This repository documents a third-party API relay service (chatanywhere) that forwards calls to large language models such as GPT, DeepSeek, Claude, Gemini and Qwen through one OpenAI-style interface. The README says a free API key is available after signing in with GitHub, with usage limits, and that paid keys are offered with no such limits. It is a service page rather than software you install and run yourself.
- Point an OpenAI-compatible client at the relay's base URL and call a listed model by name
- Compare responses from different models using the same request format
- Use the API in a personal study or research project within the free limits
Great for
- Students and researchers doing non-commercial experiments with LLM APIs
- Developers who want to try several models behind one OpenAI-compatible endpoint
- People in mainland China who want to reach these models without a proxy, per the README's claim
Not ideal for
- Commercial products or anything serving the public, because the README says free keys are for personal, non-commercial, educational or nonprofit research only
- Sensitive or regulated data, since the README asks users not to submit personal, confidential or protected information
- Users who need guaranteed uptime, since the README says the system is for internal evaluation and use is at your own risk
How to get it
- 1
Use it in the browser (or self-host)
Clone the repository
git clone https://github.com/chatanywhere/GPT_API_free - 2
Run it
- Open https://chatanywhere.tech/ and sign up by binding a GitHub account to get a free API key
- In your client, set the base URL to https://api.chatanywhere.tech (or api.chatanywhere.org outside China)
- Choose a supported model name such as gpt-3.5-turbo or deepseek-chat and send a request
- 3
Get the most out of it
- Check https://status.chatanywhere.tech before debugging errors, as the README suggests
- Keep within the 200 requests/day per IP and key limit or consider a paid key
- Read the API documentation at https://docs.chatanywhere.tech/ for exact endpoints and parameters
Downloads
Strengths
- Uses the standard OpenAI-style interface, so many existing tools can be pointed at it by changing the host and model name
- Offers a free tier and lists per-model prices in the README
- Publishes a status page and uptime badges for the service
Trade-offs
- Free keys are limited to 200 requests per day per IP and key, and the README says some free models have weaker reasoning
- The README states the operator may ban accounts it considers abused, and that the system is for internal testing
- Third-party model providers may cause slow responses or errors, and listed prices can change
How it compares
| Project | Stars | Type | Level | Updated | Best for |
|---|---|---|---|---|---|
| GPT_API_free (this) | 45.3k | Other | beginner | 7 days ago | Students and researchers doing non-commercial experiments with LLM APIs |
| one-api | 37.3k | App | intermediate | 10 months ago | Developers who want one OpenAI-compatible endpoint for several model providers |
| 9router | 31.8k | Dev tool | intermediate | 9 days ago | Developers who use AI coding tools and want to reduce spending |
| repomix | 29.1k | CLI | beginner | 4 days ago | Developers who want to ask an AI assistant questions about a whole project |
| kilocode | 27.8k | AI model / agent | beginner | 4 days ago | Developers who want an AI coding agent inside VS Code or JetBrains |
| LibreChat | 46.6k | App | intermediate | 4 days ago | Teams that want one shared chat interface across several AI providers |
Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.