Model Routing
Route each request to the best available model based on cost, latency, quality, or throughput using FastRouter’s Auto Router across 100+ models.
FastRouter helps teams route each AI task to the right model automatically, balancing cost, latency, quality, throughput, and reliability through one OpenAI-compatible API. Instead of hard-coding model choices, your application can rely on intelligent routing, fallback policies, evaluations, guardrails, and usage controls across 100+ models from major providers.
Choose, compare, route, and govern LLMs through one production-ready control plane.
Route each request to the best available model based on cost, latency, quality, or throughput using FastRouter’s Auto Router across 100+ models.
Create stable model aliases with prioritized provider lists, centralized policies, and seamless failover without changing application code.
Compare model outputs, latency, and costs side by side, then combine model perspectives for stronger reasoning and better production decisions.
Run structured evaluations to score model outputs, validate task fit, detect quality drift, and make selection decisions with evidence.
Lower AI spend by routing routine tasks to efficient models while keeping premium models available for complex or high-value requests.
Keep AI applications available through automatic fallback, multi-provider redundancy, higher effective rate limits, and instant rerouting during failures.
Connect your application through FastRouter’s single OpenAI-compatible endpoint. Your team can continue using familiar SDK patterns while gaining access to 100+ models across text, image, video, embeddings, and speech.
See how smarter routing helps teams balance model quality, reliability, latency, and cost.
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
FastRouter gives teams the routing intelligence and operational controls needed for production AI.
Route across 100+ models through one durable OpenAI-compatible integration.
Select models per request based on cost, latency, quality, or throughput.
Automatic fallback and multi-provider redundancy protect production AI during provider issues.
Govern spend, access, logs, evaluations, alerts, and usage from one control plane.
Meet the platform behind smarter LLM operations.
FastRouter is built as an LLMOps control plane for teams running AI in production. Rather than acting only as a gateway, it unifies routing, observability, governance, experiment tracking, guardrails, evaluations, and billing across major AI providers. The platform is designed for engineering, product, ML, finance, and security teams that need reliable model access without fragmented integrations or unchecked spend. Its mission is to help businesses use intelligent AI solutions confidently, with model choices guided by task needs, performance data, budget controls, and production reliability. By abstracting providers behind one OpenAI-compatible API, FastRouter lets teams move faster while maintaining centralized control.
A model router LLM is an infrastructure layer that decides which large language model should handle a request. Instead of sending every prompt to one fixed model, the router evaluates priorities like cost, latency, quality, throughput, reliability, or task type. FastRouter applies this logic through a single OpenAI-compatible API across 100+ models and providers.
Get practical guidance on routing, failover, governance, and model evaluation.
One integration for broad model access.
Safety controls enforced across providers.
Unified metrics, logs, and evaluations.
Tell us about your models, traffic patterns, and routing goals. We’ll help you evaluate how FastRouter can improve reliability, cost control, and model selection.
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