LibreChat vs One API
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Self-hosted, open-source chat interface for many AI models, with agents, tools, and multi-user login.
Open source · MIT
Self-hosted gateway that exposes many LLM providers through one OpenAI-style API with key management.
The short answer
Choose LibreChat if you need…
- Teams that want one shared chat interface across several AI providers
- People who want to self-host a ChatGPT-style interface and keep their data on their own server
- Developers who want to connect custom OpenAI-compatible endpoints or local models
- Organizations that need multi-user login and role-based access
Choose One API if you need…
- Developers who want one OpenAI-compatible endpoint for several model providers
- Small teams or groups who need to issue and limit API keys to members
- Operators who want load balancing or retries across multiple provider channels
- People comfortable running a Docker container or a Go binary on a server
Side-by-side
| LibreChat | One API | |
|---|---|---|
| Type | App | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 46.6k | 37.3k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Clone and build from source | Run with Docker |
| Main language | TypeScript | JavaScript |
| Last code update | 4 days ago | 10 months ago |
What each one is
LibreChat
LibreChat is a free, open-source web app that looks like ChatGPT but lets you connect to many AI providers, such as OpenAI, Anthropic (Claude), Google, Azure, and local models through compatible APIs. You run it on your own server, so conversations and accounts stay under your control. It also includes agents, tool integrations via MCP, file handling, and code execution.
One API
One API is a self-hosted web service that sits between your apps and many large language model providers such as OpenAI, Azure, Claude, Gemini and DeepSeek. Clients send requests in the standard OpenAI API format, and One API translates them to each provider. It also includes a web admin panel for issuing tokens, setting quotas, and managing channels.
Best for
LibreChat
- Teams that want one shared chat interface across several AI providers
- People who want to self-host a ChatGPT-style interface and keep their data on their own server
- Developers who want to connect custom OpenAI-compatible endpoints or local models
- Organizations that need multi-user login and role-based access
One API
- Developers who want one OpenAI-compatible endpoint for several model providers
- Small teams or groups who need to issue and limit API keys to members
- Operators who want load balancing or retries across multiple provider channels
- People comfortable running a Docker container or a Go binary on a server
Strengths
LibreChat
- Supports many AI providers and any OpenAI-compatible API in one interface
- Open source under the MIT license and self-hostable
- Has a large user base, with over 46,000 GitHub stars
One API
- Single OpenAI-format interface across many listed providers
- Ships as a single executable or Docker image, per the README
- Includes token, quota, channel, and user-group management in one admin UI
Not ideal for
LibreChat
- People who just want to chat with AI and do not want to run a server; a hosted service is simpler
- Users with no hosting or Docker experience, since setup involves configuring a server and API keys
- Those who need features the README marks as experimental, such as attached code workspaces, to be stable
One API
- Users who only call one provider and do not need a gateway, since it adds a service to run
- Anyone who needs a fully managed hosted service, because this is software you deploy and maintain yourself
- Those who cannot verify compliance with local AI service rules, since the README asks users to follow OpenAI terms and applicable law and warns about unregistered public services in China
Trade-offs
LibreChat
- Self-hosting requires technical setup and ongoing maintenance
- Some newer features, such as attached workspaces, are labeled highly experimental
- The README is truncated here, so detailed install steps could not be verified from this excerpt
One API
- The README warns to change the default root password (123456) immediately after first login
- Some features such as model mapping can change request bodies and drop fields not yet supported
- High concurrency requires setting SQL_DSN, so a production setup likely involves a database beyond the default
Getting started
LibreChat
Clone the repository
git clone https://github.com/LibreChat-AI/LibreChatOne API
Run with SQLite using Docker
docker run --name one-api -d --restart always -p 3000:3000 -e TZ=Asia/Shanghai -v /home/ubuntu/data/one-api:/data justsong/one-apiFrequently asked questions
What is the difference between LibreChat and One API?
LibreChat: Self-hosted, open-source chat interface for many AI models, with agents, tools, and multi-user login. One API: Self-hosted gateway that exposes many LLM providers through one OpenAI-style API with key management. LibreChat suits teams that want one shared chat interface across several ai providers, while One API suits developers who want one openai-compatible endpoint for several model providers.
Are LibreChat and One API free?
LibreChat: Free and open source. One API: Free and open source.
Is LibreChat or One API more popular?
LibreChat has more GitHub stars (46.6k) than One API (37.3k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to LibreChat and One API?
Other options people compare them with include Chatbot UI, AnythingLLM, OpenWhispr, MCP for Unity, AI Website Cloner.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.