Calculate batch processing savings compared to real-time.
| Provider | Model | Input cost | Output cost | Total/month |
|---|
The Batch API Savings Calculator compares the cost of batch processing with real-time API calls. Enter monthly input and output token volumes and the table shows input cost, output cost and a monthly total per provider and model. It is aimed at teams running offline jobs such as bulk summarisation, classification or embedding refreshes, where requests can wait. Results are estimates based on published per-token pricing and update as you change the inputs.
Anything that does not need an answer within seconds: overnight document summarisation, bulk classification, dataset labelling and embedding refreshes. Batch endpoints typically trade latency for a lower price. If your product needs interactive responses, keep those calls on a real-time endpoint and batch only the offline portion.
It reflects published per-token rates and the volumes you enter, so it is a planning estimate. Actual savings depend on the batch discount your provider offers, queue behaviour, retries, and whether your job produces more output tokens than expected. Compare the estimate with one real batch run before relying on it.
Plugsky exposes an OpenAI-compatible API, so batch or asynchronous jobs written for OpenAI-style endpoints can usually be pointed at Plugsky by changing the base URL and key. Review current plans at the pricing section and test a representative job first.
Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs