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Unified free access to LLMs and media models
GPT4Free aggregates multiple free LLM and media providers, offering a Python/JS client, web GUI, and OpenAI‑compatible API for easy integration and local deployment via Docker or pip.

GPT4Free is a community‑driven toolkit that brings together a variety of free large‑language‑model and media‑generation services under a single, consistent interface. It abstracts provider‑specific quirks, letting developers call text, image, audio, or video generation endpoints just like they would an official OpenAI API.
The project ships with synchronous and asynchronous Python clients, a browser‑based JavaScript SDK, and a FastAPI‑powered "Interference API" that mimics OpenAI’s REST contract. A local web GUI provides an instant chat experience, while optional provider‑login containers help capture authentication cookies for services that require them.
Users can run GPT4Free in a full Docker container, a slim multi‑arch image for x86_64/arm64, install the Python package via pip, or download a native Windows executable. Minimal prerequisites include Python 3.10+ and Chrome/Chromium for providers that rely on browser automation. Comprehensive documentation and community channels support quick setup and customization.
When teams consider GPT4Free, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Integrate free LLMs into a chatbot
Deploy the FastAPI endpoint and point existing OpenAI‑compatible code to it, enabling chat functionality without paying for API usage.
Generate images for content creation
Use the Python client’s image generation method with providers like Flux to produce royalty‑free visuals directly from scripts.
Run a local AI playground on a Raspberry Pi
Pull the slim Docker image on arm64, start the web GUI, and experiment with text and media models offline.
Automate provider login for cookie‑based services
Launch the optional desktop login inside the container to capture authentication cookies, then reuse them for subsequent API calls.
No, GPT4Free routes requests through free public providers; an OpenAI key is not required.
Linux, macOS, Windows (via .exe), and ARM64 devices via the slim Docker image.
The client selects a default provider, but you can specify a model name or provider in the request to target a specific backend.
Only providers that rely on browser automation need Chrome/Chromium; other backends work without it.
Yes, the FastAPI server can be bound to any host/port, and Docker allows network configuration to fit restricted environments.
Project at a glance
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