Arena launches Max, an agentic model router
Arena released an agentic version of Max, a router trained on 2.5M real agent sessions that picks a model per task, matching frontier performance at 37% lower cost.

Introducing our new agentic version of Max: Arena’s model router that achieves frontier-level performance at 37% lower cost. Built on 2.5M real-world agentic sessions from Agent Arena, Max learns to dynamically select the best model for each task, optimizing for both performance and cost. Max achieves a +14.7% net improvement score in Agent Arena at a median cost of $3.27 per task, matching the performance of Claude Fable 5.1 (Max) at 37% lower cost. Try Max today for a limited time, and dive into more technical details in the thread.