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I default to the biggest model out of habit, without ever checking whether a cheaper one sitting right next to it would honestly do the job just as well.
What you'll have at the end
A scored side-by-side run of one real task on a cheap model and a flagship model, with a winner picked
You need
A task you already send to your flagship model on a repeat basis, plus API or console access to at least one smaller, cheaper model from that same vendor's lineup.
Not covered
Wiring an automatic router that sends different requests to different models in production; this only proves whether the cheap model can do this one task on its own.
Leans on
Checked 15 Aug 2026
Part of the Large Language Models (LLMs) cookbook