FastRouter.ai
Route requests to the right LLM for cost, latency & quality
700 followers
Route requests to the right LLM for cost, latency & quality
700 followers
FastRouter is a unified AI gateway and control plane for developers and enterprise teams building with LLMs. It routes every request to the right model across 200+ LLMs through one OpenAI-compatible API, optimizing for cost, latency, quality, and reliability. With intelligent routing, failover, observability, and governance, teams can scale AI apps without vendor lock-in or code changes.
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Congrats. How is this different from OpenRouter?
The first users usually seem to come from places where the problem is already being discusses. Curious if anyone has had better results from communities than from posting on their own profiles.
The model zoo is getting ridiculous. Nice to have one gate instead of 200 separate keys and billing tabs. Congrats on the launch! @richie_fredicson @ritprasad @andrej_gamser2
Many congratulations, @ritprasad , @andrej_gamser2 and team! 😊
@dhanrajchoudhary Thank you! Your support means a lot. Really appreciate it.
Awesome product, congrats with a launch and good luck!
@annmast Thank you for your message. Really appreciate it and grateful :)
@nalin_rajendran Thank you for your support. Really appreciate it and grateful!
Cost, latency and quality is three knobs where the third one does all the work and is the hardest to measure. We route across 30+ models in our own product and the thing that bit us wasn't a slow call or an expensive one, it was a small model returning something clean, confident and wrong, which passes every format check you have. So the number I'd want out of a control plane is cost per accepted output, not cost per call, because a model that's 4x cheaper and needs two regenerations just moved the bill somewhere nobody is measuring. If the quality signal behind routing is benchmarks rather than what your own users kept, it'll pick the cheap model at exactly the wrong moments.
@asadmalik901 Fully agree. The key is to score outputs against a clear defined rubric for your use case and get the actual quality score for accepted requests. FastRouter’s Custom Evaluations does exactly this and Insights too help you measure this quality alongside cost and latency, so you can choose the model that best meets your needs. As you said, benchmark scores alone are not relevant if your use cases are different.