As a router, it's not very feature rich. For example I restricted the available models to the ones I want to use however the `/models` endpoint still lists all the models, making my LLM client list the 200+ models available on the service (even though they will throw an error if I try to use them).
With Bifrost, I can also create model aliases with custom configuration - for example I can create a model alias `deepseek-v4-flash-nothink` which disables thinking. I can create `deepseek-v4-flash-caveman` which injects the caveman skill (to save tokens) etc.
Plus I can contribute to Bifrost, which I can't do with OpenRouter.
The only reason I didn't go for it is I'm not a fan of Python dependency management, Bifrost is just a single executable that uses nearly no memory and is lightning fast.
Database is optional, if you add one, you get advanced caching.
It's just a single executable.
wget https://downloads.getmaxim.ai/bifrost/v1.6.5/linux/amd64/bifrost-http
chmod +x bifrost-http
./bifrost-httpFor example, the image generation parameters of GPT-image-2 are largely ineffective.