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batchwatch › Questions › Is the OpenAI Batch API worth it?

Is the OpenAI Batch API worth it?

Yes - half the price, and a typical wait measured in minutes.

The answer

OpenAI's batch endpoint costs 50% of the synchronous rate - their own published price, on every input and output token. That is a real, immediate saving on any workload that does not need an answer this second.

And the wait is shorter than the "within 24 hours" ceiling suggests: we measured a median of 77s for gpt-5.6-sol, with nine in ten jobs finishing within 22 min. For most pipelines that is an easy trade - half the cost for a wait you can plan around.

Questions this answers

Is the OpenAI batch API worth the wait?
For most workloads, yes. It is 50% cheaper, and half of gpt-5.6-sol jobs finished within 77s in our measurements - well inside the 24 hours window OpenAI promises. The only question is your deadline, which is why batchwatch answers against a max_wait you supply rather than guessing one.
How much does the OpenAI batch API save?
50% of the synchronous price, on both input and output tokens. That is OpenAI's own published batch rate, not a batchwatch estimate.

See it live

Every number here is measured, and it is all public.

The live dashboard shows every model with its distribution, n and confidence grade. /v1/coverage is the same data as JSON, no key required. Contributing five measurements in seven days cuts the public delay to five minutes and unlocks the decision endpoints (/v1/should-i-batch, /v1/estimate-batchtime).

More questions we have measured the answer to

How long does the OpenAI batch API take? How long does the Anthropic Message Batches API take? How long does the Google (Gemini) batch API take? Is the Anthropic Message Batches API worth it? How much cheaper is the OpenAI Batch API? How much cheaper is the LLM batch API? LLM batch API vs synchronous: which should I use?