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Stop Swapping Models: Optimizing the Agent Environment Cuts 70% More Cost

When an agent workflow runs up an unsustainable token bill, developers usually pull two levers. The first lever is swapping the model. You take tasks running on a frontier model and try to force them onto an 8B open-weight model, or you spend weeks attempting to train a prompt router to predict whi…

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  1. 2026-11-06 17:28 · DEV Community — AI
    Stop Swapping Models: Optimizing the Agent Environment Cuts 70% More Cost

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