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OmniRoute 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.

OmniRoute

Open source · MIT

A free, MIT-licensed gateway that routes one API endpoint to many AI model providers.

One API

Open source · MIT

Self-hosted gateway that exposes many LLM providers through one OpenAI-style API with key management.

The short answer

Choose OmniRoute if you need…

  • Developers who use several AI coding tools and want one place to configure providers
  • People who want to connect their own free-tier provider accounts and spread requests across them
  • Users who want automatic fallback when one provider hits a rate limit
  • Teams experimenting with multiple models through a single OpenAI-style endpoint

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

OmniRouteOne API
TypeAppApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars83.8k37.3k
Setup difficultyIntermediateIntermediate
How you get itInstall with a package managerRun with Docker
Main languageTypeScriptJavaScript
Last code update4 days ago10 months ago

What each one is

OmniRoute

OmniRoute is a self-hosted AI gateway: you point your AI coding tools at one endpoint, and it forwards requests to many model providers such as Claude, GPT, Gemini and DeepSeek. It can fall back to another provider when a quota runs out, and it advertises token compression to reduce usage. The README says it works with tools like Claude Code, Codex, Cursor and Cline.

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

OmniRoute

  • Developers who use several AI coding tools and want one place to configure providers
  • People who want to connect their own free-tier provider accounts and spread requests across them
  • Users who want automatic fallback when one provider hits a rate limit
  • Teams experimenting with multiple models through a single OpenAI-style endpoint

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

OmniRoute

  • MIT licensed and open source, with a large GitHub star count
  • Single endpoint for many providers and models, as described in the README
  • Includes a dashboard and documented methodology for free-tier usage

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

OmniRoute

  • People who want a token grant or guaranteed free usage; the README says free tiers belong to third-party providers and their terms can change
  • Users who do not want to manage provider credentials and configuration
  • Those who need a hosted service with support guarantees; the README points mainly to community channels

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

OmniRoute

  • Headline figures such as the token total are estimates that the README says change over time
  • Depends on third-party providers whose free tiers and terms can end or change
  • Compression savings and provider counts are the project's own claims, not independently verified here

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

OmniRoute

Clone the repository

git clone https://github.com/cheaper-inference/OmniRoute
Step-by-step guide: how to use OmniRoute

One 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-api
Step-by-step guide: how to use One API

Frequently asked questions

What is the difference between OmniRoute and One API?

OmniRoute: A free, MIT-licensed gateway that routes one API endpoint to many AI model providers. One API: Self-hosted gateway that exposes many LLM providers through one OpenAI-style API with key management. OmniRoute suits developers who use several ai coding tools and want one place to configure providers, while One API suits developers who want one openai-compatible endpoint for several model providers.

Are OmniRoute and One API free?

OmniRoute: Free and open source. One API: Free and open source.

Is OmniRoute or One API more popular?

OmniRoute has more GitHub stars (83.8k) 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 OmniRoute and One API?

Other options people compare them with include MCP for Unity, MindsHub, magpie, Claude HUD, Orca.

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.