Glossary · AI

What is Model Routing?

Definition

Model routing is the practice of sending each AI request to the most suitable model based on task difficulty, cost, speed or data sensitivity, rather than using one model for everything. Routing can follow fixed rules, such as a small model for classification and a larger one for drafting, or a lightweight classifier can choose the model per request. Routing can also provide fallback when a provider is down.

Why it matters for your business

Prices and speeds vary widely between a provider's smallest and largest models, and many business tasks do not need the most capable one. Sending simple, high-volume steps to a smaller model while reserving a frontier model for complex reasoning can lower running costs and latency without hurting quality. It also reduces dependence on a single vendor. The tradeoff is more testing: each route needs its own evals, and the routing logic must be checked so hard requests are not sent to a model that cannot handle them.

Example

A support operation routes each incoming ticket through a small, fast model that tags category and urgency. Routine order status questions are answered by the same small model with a help article lookup. Complex billing disputes and angry escalations go to a larger, more capable model that drafts a careful reply for a human agent to review.

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