AI Cost Optimization

AI cost optimization is the discipline of delivering useful model behavior at a sustainable price. In production, the most expensive model is rarely the best default for every request.

Main Cost Levers

• Use smaller models for simpler tasks
• Reduce prompt length and unnecessary context
• Cache repeated work
• Route only hard queries to expensive models
• Limit output length when long responses are not needed

The Important Tradeoff

Cost cannot be optimized in isolation. A cheaper system that produces worse answers may increase support load, human review time, or churn. The goal is not minimum cost; it is best value.

A Healthy Approach

Track cost per successful task, not just cost per request. That keeps optimization tied to real product outcomes instead of raw token numbers.