Route Each Agent Step to a Model Tier, Not the Whole Run to the Frontier

Up to ~72% lower cost at ~97% of frontier quality in the paper's eval (single-paper, workload-dependent) Advanced 3 min read

A single agent trajectory mixes one hard planning step with a dozen trivial extraction steps, yet the reflex is to run every step on the frontier model. A tiny classifier can predict the smallest model tier that clears each step before you spend a token, using where the step sits in the run.

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