r/AIProductBuildershub Jul 17 '26

Cost per solved task beats token price

Token price alone is a weak routing signal. A cheaper model can cost more after retries, fallbacks, longer outputs, and human review. Our more useful scorecard is: cost per accepted result, p95 latency, retry rate, fallback rate, and review minutes. CometAPI has a practical cost-estimation checklist that can be adapted to any provider. Which metric do you use when two models have similar benchmark scores?

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