AI article
Reducing LLM API Costs in Production: What Actually Moves the Needle
Community description: If you've shipped an LLM-powered feature, you've probably had the moment where the bill arrives and...
Dev.to | Sep 18, 2026 | Alex
Automated excerpt
Right-size the model per task, not per app A common mistake: picking one "good enough" model and routing everything through it. Classification, extraction, and formatting tasks often run fine on a smaller/cheaper model, while reasoning-heavy tasks need the frontier model. Trim your context, don't just trust "big context windows" Bigger context windows tempt you to dump everything in.
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