Cost Calculators → Cost Scenarios

Batch API Savings — When It's Worth It

Real batch API savings calculations across different workload sizes and providers.

Low estimate
$2,250/mo
Mid estimate
$3,000/mo
High estimate
$3,750/mo

Assumptions

  • Standard: $3/M input, $15/M output
  • Batch: ~50% off standard = $1.50/M input, $7.50/M output
  • Workloads: document processing, overnight analytics, content moderation, dataset annotation

Base model: Claude Sonnet 5 — $3/M input · $15/M output · 2026-08-19

Cost breakdown by component

Batch cost (50% off)50%
Savings vs real-time50%

How to cut this cost by 50%+

Qualify workload for batch
Any task not needing real-time response: use batch API
50% savings
Calculate for your exact workload

These are estimates based on typical patterns. Enter your specific token counts and volume for a precise calculation.

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Frequently Asked Questions

Which workloads qualify for batch API?

Any non-real-time processing: content moderation queues, document classification, data extraction pipelines, overnight analytics, eval runs, dataset annotation. The constraint is results within 24 hours (OpenAI) or 24 hours (Anthropic). Real-time user-facing features don't qualify.

Is batch API worth using at low volume?

Yes — even at 10k requests/month, batch saves 50%. At $3/M input standard and 1,000 tokens average: 10M tokens/month = $30 standard vs $15 batch. $15/month saved. Still worth it for any async workload with no additional implementation effort.

Pricing verified 2026-08-20. All figures are estimates with stated assumptions. See methodology.