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Stop using one model for everything: a 60-line Python cost audit that cut our test bill 98%

This story is from 2026-10-13. It is preserved in the archive; the latest stories are on the live feed.

Most apps pick one strong model and send it everything: ticket labels, JSON extraction, summaries, the lot. It works, and it's the most expensive way to run an LLM product. The fix isn't "use a cheaper model". It's use the cheapest model that passes a check for each job , and prove it with a script…

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  1. 2026-10-13 15:01 · DEV Community — AI
    Stop using one model for everything: a 60-line Python cost audit that cut our test bill 98%

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