OrcaRouter
Zero-Markup LLM Adaptive Routing Across 150+ Providers
3 followers
Zero-Markup LLM Adaptive Routing Across 150+ Providers
3 followers
OrcaRouter automatically selects the best model for every prompt across 150+ providers and 200+ frontier + open-source models — reducing inference cost, improving latency, and increasing reliability without sacrificing quality.
Hey Product Hunt 👋
We built OrcaRouter after seeing the same problem everywhere:
Teams were routing every request through expensive frontier models — even when a lightweight open-source model could do the job just as well.
That creates a weird tradeoff:
→ better quality = higher cost
→ lower cost = worse UX
We thought the routing layer itself should solve this.
So OrcaRouter automatically picks the best model for each request across 150+ providers and 200+ models — balancing quality, latency, reliability, and cost in real time.
A few things we cared deeply about while building it:
• No token markup. You pay provider pricing directly.
• No vendor lock-in. Hosted or fully open-source deployment.
• No fragile infra. Automatic failover + provider fallback built in.
• No painful migration. If you use OpenAI/OpenRouter, integration takes minutes.
You can use GPT-5 only when reasoning is actually hard, route simpler tasks to OSS models, and optimize inference automatically without changing your app logic.
Get $5 free LLM API credits to start building with OrcaRouter 🚀
Would genuinely love feedback from developers building AI products today:
What’s been your biggest frustration with model routing, cost, or reliability lately?
We’ll be around all day answering everything 🙌