SourceVane · Practical AI

Measure AI API retry cost before changing models

Count failed attempts, final successful tasks and token use separately so retries do not hide the real cost of useful API work.

Direct answer

The decision in brief

Include every charged attempt in the numerator and only accepted final results in the denominator. This exposes whether retries, timeouts or rejected outputs make a low token price more expensive for the workload that actually succeeds.

Which retry numbers belong in an API cost estimate?

  1. Export the billed input and output tokens for every attempt, including failures and timeouts that were charged.
  2. Calculate average attempts per original task. Record final accepted tasks with a written acceptance rule; do not treat HTTP success as useful output.
  3. Compare monthly token cost and cost per successful task. Change one retry policy at a time, then repeat the same representative workload.

Use these as evaluation steps for your own workload. Record the evidence and limits before acting on the result.

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