Batch API Savings Calculator
Batch API cuts LLM costs by ~50% for offline workloads. Calculate your savings from switching document processing, classification, or evaluation jobs to batch mode.
Prices verified 2026-08-20 · Full prompt cost calculator
How to Use
Check if your workload qualifies
Batch API is for offline, non-real-time workloads: document classification, data extraction, content generation, evaluation runs. Results arrive within 24 hours — not suitable for user-facing features.
Enter your volume
Total number of requests, average input tokens, and average output tokens. These drive both real-time and batch costs.
Choose your model
Select your model. OpenAI and Anthropic both offer batch variants at ~50% discount. Google Gemini also offers batch processing.
Confirm the savings
Batch API saves exactly 50% in most cases. The only question is whether your workload can tolerate up to 24-hour completion time.
Batch API: the easiest 50% cost cut
If your workload produces results used within 24 hours rather than immediately, Batch API is the easiest cost reduction available. OpenAI, Anthropic, and Google all offer ~50% discounts for batch processing. For document processing, nightly evaluation runs, or content generation pipelines, batch API is almost always the right choice.
How to Cut This Cost
Switch to Batch API for any workload where results are used within 24 hours rather than immediately. Nearly every provider offers this discount.
Combine Batch API with prompt caching on the static prefix (system prompt + instructions) for stacked savings.
Route the simplest batch tasks to a cheaper model (GPT-5 mini / Gemini Flash). Classification and extraction rarely need a frontier model.
FAQ
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Last verified: 2026-08-20 · methodology · data sources