How are you routing long-running agents after a model cost change?

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Summary

The author is revisiting an agent pipeline after a model cost change, asking for signals to decide which stages to route to the strongest model path for optimal performance and cost.

I am revisiting an agent pipeline after a new model release changed the available capability and cost tradeoffs. The workflow has planning, tool calls, document or image interpretation, retries, and final validation, so I do not want to route every step through the same model by default. I am measuring task success, latency, context size, retry rate, and total token cost, with separate tests for the smaller KV-cache behavior and multimodal steps. What signals do you use to decide which stages stay on the strongest model path?
Original Article

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