Model Routing
FastRouter’s Auto Router sends each request to the best available model based on cost, latency, output quality, or throughput priorities across 100+ models and providers.
FastRouter helps engineering and platform teams reduce AI spend by routing each request to the most cost-efficient model that still meets quality, latency, and reliability requirements. Use one OpenAI-compatible API to compare providers, enforce budgets, avoid premium-model overuse, and keep production AI workloads running smoothly without rebuilding integrations every time model economics change.

Optimize LLM spend with routing, governance, analytics, audits, and scalable high-volume inference tools.
FastRouter’s Auto Router sends each request to the best available model based on cost, latency, output quality, or throughput priorities across 100+ models and providers.
Reduce AI spend with intelligent routing, request batching, automated model selection, and audit-backed recommendations that uncover cheaper models for production workloads.
Set project-level and API-key-level spend limits, assign roles, and control model access so teams avoid bill spikes without slowing AI development.
Track spend, token usage, request volume, and consumption by model, provider, project, and team from one unified analytics dashboard.
Audit live API requests to compare model performance, identify cost-saving opportunities, and generate reports covering savings, reliability, latency, and quality.
Lower per-token costs on large, non-urgent jobs like bulk summarization, classification, enrichment, evaluations, and dataset processing.

Start by routing requests through FastRouter’s OpenAI-compatible API. Your application keeps one stable integration while FastRouter unlocks access to 100+ models across providers for cost, latency, quality, and reliability comparison.
See how teams use smarter routing and governance to control AI spend at scale.
FastRouter helps teams control AI costs without sacrificing quality or reliability.
Automatically select cheaper models when they meet your quality, latency, and throughput requirements.
Access 100+ models across major providers through one durable OpenAI-compatible API.
Use fallbacks, redundancy, and routing to keep production AI available through provider issues.
Control spend, roles, access, logs, alerts, and analytics from a unified gateway.
Built for teams operating production AI at scale.
FastRouter is built as an LLMOps control plane for teams running AI in production. Rather than forcing engineering teams to manage separate provider integrations, billing systems, dashboards, and governance rules, FastRouter centralizes those capabilities behind one OpenAI-compatible API. Its platform brings together multi-provider routing, real-time observability, experiment tracking, guardrails, evaluations, consolidated billing, and cost governance across 100+ models. The vision is straightforward: help businesses use the right model for every request while keeping spend predictable, reliability high, and operational control in one place. For platform, product, and ML teams, FastRouter becomes the foundation for scaling AI without letting model complexity or cost overruns slow innovation.
Cost-aware LLM routing sends each request to the lowest-cost model that can still satisfy your quality, latency, and reliability requirements. Instead of hard-coding one expensive model for every task, FastRouter evaluates routing priorities across providers and models, helping teams use cheaper models for routine work while reserving premium models for complex reasoning.
Get practical guidance on routing, savings, and production rollout.
Works with existing OpenAI SDK integrations.
Routes across major AI providers and models.
Central controls for spend, roles, and access.
Tell us about your current providers, traffic patterns, and cost goals. FastRouter can help you evaluate routing strategies, test with free credits, and identify savings opportunities before production rollout.
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