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AI cost: count the whole workflow, not one response

A useful AI budget counts completed work, including retries, tools and review.

PromptWireGlobal2 min read
AI cost: count the whole workflow, not one response
Conceptual illustration for PromptWire.

In this story

The quick read

  • For an illustrative reporting process, divide total batch cost by the number of reports that meet the acceptance criteria.
  • Assess quality, delay and cost together.

Look beyond a model call

The price of a response is only one part of a workflow. Retrieval, document extraction, external services, storage and human correction may all contribute. Failed attempts cost resources even when they produce no usable result.

Measure accepted output

For an illustrative reporting process, divide total batch cost by the number of reports that meet the acceptance criteria. Record how many need another model call or substantial editing. A cheap first draft may become expensive if someone must check and rewrite most of it.

Compare the whole system

Assess quality, delay and cost together. A larger model might need fewer retries, while a smaller model may be sufficient for a tightly defined step. Use current provider pricing and document assumptions about volume and input length. Separate fixed setup effort from recurring operating cost. Revisit the estimate after the pilot rather than projecting from one convenient example. A good cost model makes it clear what useful work was delivered and what conditions would change the calculation.

Sources & notes

AI-assisted editorial content checked against the linked sources.

developers.openai.com — official reference

Sources reviewed for the September 2026 launch edition.

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