Model Routing
Automatically route each request to the best available model based on cost, latency, output quality, or throughput priorities without hard-coding model choices.
Route every AI request to the right model automatically with FastRouter’s smart multi-model routing layer. Unify 100+ models behind one OpenAI-compatible API, optimize for cost, latency, quality, and throughput, and keep production applications resilient with automatic failover, governance, observability, and usage controls built into every request.

FastRouter combines routing, failover, monitoring, and cost controls into one production-ready LLM control plane.
Automatically route each request to the best available model based on cost, latency, output quality, or throughput priorities without hard-coding model choices.
Group multiple providers and models behind one stable alias, letting teams manage routing priorities and model swaps centrally without application code changes.
Keep AI applications available during provider outages, rate-limit errors, or model failures with automatic retries and prioritized fallback routing.
Reduce AI spend by selecting cost-efficient models, batching high-volume workloads, and enforcing project or API-key budget limits across providers.
Monitor latency, uptime, error rates, token usage, and output quality across every model and provider from one unified dashboard.
Support production AI workloads with multi-provider redundancy, higher effective rate limits, and intelligent traffic routing for always-on applications.
FastRouter turns model selection into an adaptive infrastructure layer. Instead of locking each feature to one provider, route requests based on the outcome you need: lower cost, faster response, higher throughput, stronger quality, or dependable fallback. With one OpenAI-compatible API, teams can standardize model access, reduce vendor lock-in, and improve production reliability.

See how production AI teams improve reliability, control spend, and move faster with unified model routing.
FastRouter helps teams operate multi-model AI systems with less complexity and more control.
Route across 100+ models from major providers through one stable OpenAI-compatible API.
Automatically choose models based on cost, latency, throughput, or output quality priorities.
Fallback lists and multi-provider redundancy keep production AI applications running through provider issues.
Spend limits, roles, access controls, logs, and analytics keep AI usage accountable.
Meet the platform behind smarter LLM operations.
FastRouter is built for teams that need more than basic access to LLMs. As an LLMOps platform, it provides a single OpenAI-compatible control plane for routing, observability, experiment tracking, guardrails, governance, evaluations, and consolidated provider operations. The platform is designed to help engineering, product, ML, and finance teams run AI reliably in production without maintaining brittle provider-specific integrations. Its mission is reflected in the tagline, “Empowering businesses with intelligent AI solutions,” with a practical focus on giving teams the infrastructure to choose the right model for every request while controlling cost, uptime, quality, and access at scale.
An LLM router is a gateway layer that decides which model should serve each request. Instead of hard-coding one provider or model into your application, FastRouter routes requests across 100+ models using policies for cost, latency, quality, throughput, and availability through one OpenAI-compatible API endpoint.
Get practical guidance on routing, failover, costs, and governance.
Drop into existing OpenAI SDK workflows.
Centralized routing, monitoring, and governance.
Evaluate routing with no credit card.
Tell us about your AI workload, routing goals, providers, and production requirements. We’ll help you evaluate FastRouter and identify the best setup for cost, speed, reliability, and governance.
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