Measuring Cached Token Usage Without Double Counting
A cache-hit percentage is only useful when its denominator is clear. Learn how to reconcile token reuse, request counts, and task cost.
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Cost modeling
Explore the cost modeling questions that connect these guides.
A cost model turns measured work and explicit rates into an estimate. It should show the workload, units, rate assumptions, and categories it includes. Cached-token counts can inform that model, but a high hit rate on its own cannot establish a bill or a saving.
Use the featured article to separate observed provider usage from a hypothetical comparison. Check whether cache creation, retained data, retries, or other model calls belong in the workflow being evaluated. Keep those decisions visible so another reader can reproduce the estimate or change an assumption without guessing.
Articles about cost modeling
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Start with the AI Token Usage Cache Index guide to place the terminology in context. Then explore AI Model Cache Index Service for a connected design question.
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