Batch API Cost Estimator

Calculate savings from OpenAI or Anthropic batch API pricing

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Batch API cost estimator

If your workload does not need an instant response — bulk classification, offline evaluation, document tagging, synthetic data generation — the batch API can cut your bill roughly in half. This estimator shows the real-time cost of a job, the discounted batch cost, and the dollars you save by trading latency for a lower price.

How it works

The calculator multiplies your request count by the average prompt and completion tokens to get total input and output tokens. It prices those at the selected model’s real-time rates, then applies the batch discount (50 percent by default, editable) to produce the batch total. The difference is your saving.

It also shows a rough time to completion: batch jobs are best-effort within a provider window (commonly up to 24 hours), so larger jobs trend toward the far end of that window. Treat this as guidance, not a service guarantee.

Tips and notes

  • Batch suits asynchronous work only. Anything a user waits on in real time should stay on the synchronous endpoint.
  • Stack discounts where possible. On long shared prefixes, prompt caching and batch pricing can both apply — model caching separately with the caching-savings calculator.
  • Prices are editable estimates. Providers change rates and discount terms; confirm current batch pricing in your provider dashboard before budgeting.
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