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RouterBench is the AI infrastructure platform for benchmarking, routing, and optimizing LLM workloads. Compare models, routers, and AI gateways across cost, latency, quality, and reliability using real-world evaluations. Access Chat, Embeddings, TTS, STT, Realtime, Video, and Music generation APIs through a single integration. Route intelligently across OpenAI, Anthropic, Google, and 140+ AI providers, monitor usage and costs, optimize performance, and scale production AI applications.
Hi everyone! I'm excited to introduce RouterBench.
As AI teams adopt multiple LLM providers, choosing the right model for each workload has become increasingly complex. Cost, latency, quality, reliability, and provider capabilities can vary significantly depending on the use case.
We built RouterBench to help developers and enterprises benchmark, compare, and intelligently route AI workloads across leading providers from a single platform. With one API, you can access Chat, Embeddings, TTS, STT, Realtime, Video, and Music generation while routing across OpenAI, Anthropic, Google, and 140+ AI providers.
Our goal is simple: help teams build better AI applications, reduce costs, improve performance, and avoid vendor lock-in.
We'd love your feedback:
• What AI models are you using today?
• How do you evaluate model quality vs. cost?
• What benchmarking metrics matter most to you?
Thanks for checking out RouterBench. We're excited to hear your thoughts and answer any questions!
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About RouterBench on Product Hunt
“One Awesome API for everything AI”
RouterBench was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #63 on the daily leaderboard. RouterBench is the AI infrastructure platform for benchmarking, routing, and optimizing LLM workloads. Compare models, routers, and AI gateways across cost, latency, quality, and reliability using real-world evaluations. Access Chat, Embeddings, TTS, STT, Realtime, Video, and Music generation APIs through a single integration. Route intelligently across OpenAI, Anthropic, Google, and 140+ AI providers, monitor usage and costs, optimize performance, and scale production AI applications.
RouterBench was featured in API (98.3k followers), Developer Tools (514k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 182.5k products, making this a competitive space to launch in.
Who hunted RouterBench?
RouterBench was hunted by Vijay Prabhakar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how RouterBench stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vijay Prabhakar