TLDR Tech / AI
How Cursor Router chooses the right model for the task
Cursor Router is built around the idea that model selection should be learned from how models perform on real developer work. The router makes each decision using signals from the current turn and recent conversation state. Routing happens in two parts: it is determined whether a turn is simple enough for a price-efficient model, and if the turn is more demanding, the router decides which frontier model is most likely to perform well on that kind of work. This is done by classifying the turn using a taxonomy of tasks, domains, and modifiers learned from real developer traffic.
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