Model Routing
Automatically send each request to the best model for cost, latency, throughput, or quality using policy-driven routing across 100+ models from leading AI providers.
FastRouter helps engineering and platform teams choose the right model for every request while controlling latency, reliability, and spend. Route across 100+ models through one OpenAI-compatible API, compare cost and quality in real time, and keep production AI resilient with automated failover, governance, observability, and evaluation workflows built for scale without rebuilding provider integrations or slowing product teams down.
Optimize model selection, cost, latency, reliability, and governance through one OpenAI-compatible routing layer for production AI teams.
Automatically send each request to the best model for cost, latency, throughput, or quality using policy-driven routing across 100+ models from leading AI providers.
Reduce generative AI spend with intelligent model selection, batch processing, spend limits, and audit insights that identify when lower-cost models can meet your quality bar.
Track latency, uptime, response times, error rates, and output quality in real time so teams can detect provider degradation before users feel the impact.
Keep AI applications running during outages, rate-limit errors, or model failures with prioritized fallback lists and automatic rerouting across multiple providers.
View unified logs, metrics, request activity, cost, latency, and model outcomes across every provider instead of stitching together separate monitoring tools.
Compare models, prompts, and configurations with structured evaluations and experiments to validate the best quality-cost-latency balance for each workload.
Point existing OpenAI SDK code to FastRouter’s compatible endpoint and unlock 100+ text, image, video, speech, and embedding models without building provider-specific integrations or changing application logic across your stack.
See how production AI teams can reduce cost, improve reliability, and ship faster with smarter routing.
"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 combines routing intelligence, cost governance, and production-grade reliability in one AI control plane.
Route every request by cost, latency, quality, or throughput using policy-based automation.
Project and API-key limits help prevent surprise bills and control premium-model usage.
Automatic failover and provider redundancy keep production AI applications available during outages.
Dashboards, logs, evaluations, and alerts give teams measurable visibility across every model call.
Meet the platform behind smarter production LLM operations.
FastRouter is built around a clear vision: give engineering, product, finance, and platform teams one operational foundation for production AI. Instead of forcing teams to manage separate provider integrations, billing systems, monitoring dashboards, and governance rules, FastRouter centralizes model access through a single OpenAI-compatible control plane. The platform brings together routing, observability, experiment tracking, evaluations, guardrails, cost governance, and consolidated billing so teams can move faster without losing control. Its focus is not just gateway access, but day-to-day LLMOps: keeping AI applications reliable, measurable, secure, and cost-efficient as model ecosystems change. FastRouter is designed for teams that want flexibility across providers while maintaining consistent standards for performance, accountability, and scale.
An LLM router is an infrastructure layer that sends each AI request to the most suitable model or provider based on rules such as cost, latency, quality, availability, or throughput. FastRouter provides this through one OpenAI-compatible API, so teams can avoid hard-coding model choices while adding failover, governance, observability, and billing visibility across multiple providers.
Get practical answers about routing, cost, latency, and governance.
Unified access across leading AI model providers.
Compatible with existing OpenAI SDK workflows.
Built for governed production AI operations.
Tell us about your model providers, traffic volume, and performance goals. FastRouter can help you evaluate routing, savings, failover, and governance options for production AI workloads.
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