How much does the OpenAI Batch API save?
Teams with offline OpenAI workloads land here to estimate savings from OpenAI's Batch API. Provider pricing pages rarely tell you the all-in monthly cost for your usage, so this tool applies the current rates to your numbers and gives you the total.
Start here: OpenAI API Cost Calculator
Results update automatically as you type.
- Input cost
- $0.00250
- Output cost
- $0.00500
- Per request
- $0.00750
- Per day
- $7.50
- Per month
- $225.00
Then: Batch API Savings Calculator
Results update automatically as you type.
- Real-time / request
- $0.00625
- Batch / request
- $0.00313
- Monthly real-time
- $625.00
- Monthly batch
- $312.50
Why this isn't trivial
The part people underestimate: the Batch API discounts tokens in exchange for delayed completion, so savings depend on how much work you can defer. In practice the biggest savings come from routing all non-urgent OpenAI jobs through batch, so it is worth modelling before you commit.
How it's calculated
We estimate this by applying the batch discount to your deferrable OpenAI token volume. Every figure uses the current provider prices baked into the site (reviewed daily), and you can override any input to match your own assumptions.
Frequently asked questions
How much does batch save?+
Around half off tokens for eligible jobs; the tool shows your exact figure.
What can't use batch?+
Real-time, user-facing requests that can't tolerate delay.
Are these prices up to date?+
Yes. The model prices behind this calculator are refreshed and reviewed daily, so your estimate reflects current provider rates rather than a stale snapshot.
Related
Estimates for planning. Pricing data last reviewed 28 July 2026.