Model Routing
Route each request to the best available model based on cost, latency, quality, or throughput priorities across 100+ models and major providers.
FastRouter helps engineering teams optimize LLM workloads through one OpenAI-compatible AI gateway. Route requests across 100+ models, reduce avoidable spend, improve uptime with automatic failover, and monitor quality, latency, and usage from a unified control plane. Build production AI without hard-coding providers, stitching together dashboards, or losing control of costs and governance.

Optimize LLM performance, reliability, cost, and governance through FastRouter’s unified AI gateway capabilities.
Route each request to the best available model based on cost, latency, quality, or throughput priorities across 100+ models and major providers.
Reduce AI spend with intelligent routing, automated model selection, batch processing, and controls that prevent unnecessary premium-model usage across teams.
Keep applications running through provider outages, rate-limit errors, and model failures using prioritized fallback lists and multi-provider redundancy.
Monitor latency, costs, errors, logs, request activity, and quality trends across every model and provider from unified dashboards.
Apply API-key limits, project budgets, roles, and access controls centrally so AI usage stays accountable across applications and teams.
Score, compare, and validate model outputs over time to choose the right model and catch production quality drift early.
FastRouter gives teams a durable foundation for running AI in production. Instead of wiring applications to individual providers, every request flows through one gateway that can route, monitor, govern, and optimize workloads automatically. The result is lower operational overhead, better uptime, clearer cost accountability, and faster access to new models without repeated integration work.

See how production AI teams can simplify operations, reduce risk, and optimize every model call.
FastRouter helps teams operate multi-provider AI with reliability, visibility, and control.
Access OpenAI, Anthropic, Gemini, Grok, Claude, and more through one compatible API.
Automatically route requests for cost, latency, quality, or throughput without repeated code changes.
Use failover, redundancy, and fallback lists to reduce outage and rate-limit disruption.
Control spend, roles, logs, alerts, and evaluations centrally across teams and applications.
A unified platform team for production LLM operations.
FastRouter is built for teams that need more than basic model access. Its vision is to serve as the operational foundation for production AI, unifying routing, observability, experiments, guardrails, governance, billing, and evaluations across a rapidly changing model ecosystem. Instead of forcing engineering teams to manage brittle provider-specific integrations, FastRouter creates one OpenAI-compatible control plane where policies, costs, logs, and quality checks are applied consistently. The platform is especially valuable for teams running multi-provider AI applications, agentic workflows, multimodal products, and high-volume inference where reliability, spend visibility, and model flexibility directly affect user experience and operating margin.
An AI gateway is a control layer between your application and multiple AI model providers. Instead of integrating each provider separately, your app calls one API while the gateway handles routing, failover, governance, logging, and billing. FastRouter uses this approach to give teams access to 100+ models through a single OpenAI-compatible interface.
Get practical answers about routing, costs, reliability, and rollout planning.
One integration supports multi-model production access.
Centralized operations across models, teams, and providers.
Built for reliable, governed production AI workloads.
Tell us about your current LLM stack, traffic patterns, and optimization goals. FastRouter can help you evaluate routing, reliability, cost controls, and observability through one gateway.
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