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gpt4free

Aggregates third-party LLMs and media models into unified Python, JavaScript, Docker, and REST API interfaces.

Unified reverse-engineered access to multiple AI models

Access diverse AI language and media models through a local web GUI, Python client, or OpenAI-compatible API.

Free forever · open source · GPL-3.0
✓ Light setup✓ Browser-based✓ Real-time collaboration
8.1
ZEKAI
Multi-model test aggregator
Free & open source · Customer Support
Ease of setup6
Usefulness7
Maintenance9.5
Community9.8
★ 66,686
GITHUB
Sep 2026
UPDATED
GPL-3.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

GPT4Free aggregates access to various online AI providers into a single interface. Support teams looking to test or prototype chat flows across multiple model backends without individual subscriptions can use it to query models locally or via Docker.

Runs on
Cross-platform
Hosting
Self-host
Languages
Python
License
GPL-3.0

What it is

The project provides unified Python and JavaScript clients, a local web GUI, and a FastAPI-based OpenAI-compatible endpoint. It also includes an MCP server for web search, scraping, and image generation. Media generation and local inference adapters let you handle text, images, audio, and video in one place.

Who it's for

It suits developers and support engineers prototyping multi-model fallback systems or running local AI test suites. It does not suit production customer support environments that require guaranteed uptime, enterprise SLAs, or direct API vendor contracts.

Key features

OpenAI Compatible API Server

Exposes a FastAPI endpoint that mimics standard OpenAI routes for quick drop-in testing with existing tools.

Local Web GUI Interface

Includes a web-based chat interface to interact with configured models directly from your browser.

Model Context Protocol Server

Provides an MCP server enabling assistants to perform web searches, web scraping, and image generation.

Multi Language Client Libraries

Offers synchronous and asynchronous Python clients along with a browser JavaScript library for custom app integrations.

How to start

Up and running in 3 steps

1
Install the g4f package with Python using pip install -U g4f[all] or pull the official Docker image.
2
Run the FastAPI server or launch the local web interface on port 8080.
3
Connect your Python script, browser app, or Claude desktop config to the OpenAI-compatible REST API or MCP server.
Real talk

Our honest verdict

What's great

  • Unifies multiple AI provider backends into a single API structure
  • Offers ready-to-run Docker images including full and slim configurations
  • Supports web search, web scraping, and image generation via integrated MCP tools
  • Provides a built-in local GUI alongside standard command-line tools

Where it falls short

  • Relies on third-party web provider access that can break whenever source websites change
  • Requires host memory and maintenance overhead when running browser automation containers
  • Lacks guaranteed uptime or official vendor support needed for enterprise customer operations
  • Some provider adapters require browser instances and VNC sessions to handle session authentication
Cost

Pricing & license

The software is free under the GPL-3.0 licence. You bear the cost of hosting the Docker container, maintaining server resources, and managing local browser automation workloads.

Paid work

Open remote AI-training roles

874 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

Can I use GPT4Free as a direct replacement for paid production APIs in customer support?

No, because provider adapters rely on external web interfaces that may break or change without notice, making it unsuitable for mission-critical support SLAs.

How do I run GPT4Free without installing Python directly?

You can launch the pre-built Docker container or download the standalone Windows executable launcher.

Does GPT4Free include search and scraping capabilities?

Yes, its integrated MCP server provides tools for DuckDuckGo web search, text scraping from URLs, and image generation.

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