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Lv.3

Model Routing

Model Routing

A system that automatically routes user questions or requests to the most suitable AI model.

In Simple Terms

Model routing is a system that automatically sends each user request to whichever AI model can handle it most efficiently, based on what the request contains. For example, a simple question goes to a lightweight, low-cost model, while a complex calculation or advanced translation gets routed to a more powerful, high-performance model, much like a traffic controller directing vehicles down different paths. This keeps overall costs down across the AI system while still delivering fast responses.

Behind the Name

"Model Routing" combines "Model" (an AI model) with "Routing" (directing something toward the best path). The name reflects its role: guiding each request to whichever AI model suits it best among several options, acting like a traffic controller for AI.

Take a Closer Look!

Model routing is a system that analyzes the content of a user's instructions or questions and selects the best of several AI models to handle it.
In short, it works like a "control tower" that assigns tasks to AI based on each model's specialty and cost.

Plenty of models exist for the same job of "answering in text," yet they vary widely in intelligence, speed, and price. Some are highly capable generalists that can answer a wide range of questions, while others are lightweight specialists built for specific tasks like summarizing or translating.
If every request were handled by the most powerful model available, costs could pile up and responses could take longer.
The actual routing method varies by service: some train the system to learn routing decisions from past questions and answers, some set rules based on conditions like character count or keywords, and some have developers manually assign a destination model for each type of question in advance.

Adopting this approach lets AI service operators speed up processing across the whole system while also keeping operating costs in check.
For users, it means less waiting and a smoother overall experience using AI.