Model Routing
Automatically route each request by cost, latency, throughput, or quality across 100+ models, eliminating hard-coded model choices while continuously optimizing performance and spend.
Route every LLM request to the right model based on cost, latency, throughput, or quality goals. FastRouter gives teams a single OpenAI-compatible control plane for 100+ models, combining intelligent model selection, automatic failover, observability, governance, and cost controls so production AI applications stay fast, resilient, and financially predictable.
FastRouter combines routing, cost optimization, monitoring, failover, and governance in one OpenAI-compatible LLMOps platform.
Automatically route each request by cost, latency, throughput, or quality across 100+ models, eliminating hard-coded model choices while continuously optimizing performance and spend.
Reduce AI API spend with cost-efficient model selection, request batching, usage controls, and audit-driven recommendations based on live workload behavior.
Track response times, uptime, quality, and provider performance in real time so teams can detect slowdowns before users are affected.
Create stable model aliases backed by prioritized provider lists, letting FastRouter select or fail over models without application code changes.
Keep applications running during outages, rate limits, and provider failures with automatic retries, fallback lists, and multi-provider redundancy.
Process high-volume inference workloads efficiently by routing large request batches across providers while keeping throughput high and per-token costs low.
FastRouter turns model selection into an automated, policy-driven layer. Instead of manually choosing between expensive, fast, or specialized models, your application calls one stable endpoint while the gateway optimizes each request. Teams gain lower AI spend, faster response times, higher uptime, clearer usage visibility, and centralized governance across every provider and model in production.
See how production AI teams improve reliability, reduce spend, and simplify multi-provider operations.
"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 a durable foundation for operating LLMs at production scale.
Route across 100+ models from major providers through one OpenAI-compatible API.
Optimize every request for cost, latency, throughput, or quality automatically.
Automatic failover and fallback lists reduce downtime from provider outages.
Project limits, roles, alerts, and analytics keep AI spend accountable.
Infrastructure specialists focused on reliable production AI operations.
FastRouter is built for engineering, product, platform, and finance teams that need production AI systems to be reliable, observable, and cost-aware. Rather than operating as a simple gateway, FastRouter acts as an LLMOps control plane: one OpenAI-compatible layer for routing, failover, analytics, evaluations, guardrails, governance, and consolidated billing. The platform is designed to help teams stop stitching together separate provider tools and start managing every model decision centrally. From startups testing new model releases to enterprises governing large-scale AI usage, FastRouter’s vision is to make model access flexible, accountable, and continuously optimized without slowing developers down.
Intelligent LLM request routing evaluates each request against policies such as cost, latency, throughput, or quality, then sends it to the best available model. With FastRouter, routing happens through one OpenAI-compatible endpoint across 100+ models, so teams avoid hard-coded model choices while still controlling reliability, performance, and spend from a central gateway.
Get practical guidance on routing strategy, testing, and rollout.
Works with existing OpenAI SDK integrations.
Centralized routing, governance, and observability.
Safety and policy enforcement at gateway.
Tell us about your current model stack, traffic patterns, and optimization goals. We’ll help you evaluate routing strategies, free credits, and implementation options.
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