Office Hours — I'm using Claude Opus 4.6 for a customer-facing summarization task. Should I batch requests during off-peak hours to save money, or just call the API in real-time?

I’m using Claude Opus 4.6 for a customer-facing summarization task. Should I batch requests during off-peak hours to save money, or just call the API in real-time?

Real answer: it depends on your latency tolerance, but batching is almost always worth it if you can afford the delay.

Claude’s batch API gives you a 50% discount compared to standard API pricing. If you’re summarizing support tickets, emails, or documents where a 24-hour turnaround is acceptable, you’re leaving money on the table by not batching. We’ve seen teams cut their summarization costs in half by moving to batch.

The tradeoff is straightforward: real-time API calls have no delay but cost full price. Batch processing takes 24 hours and costs half as much. If you’re doing this for internal workflows, customer dashboards that update daily, or asynchronous processing pipelines, batching is a no-brainer.

One thing to watch: batch doesn’t work for interactive chat or streaming. If your summarization task is user-initiated and they’re waiting for the result, you need standard API calls. But if it’s background processing, scheduled jobs, or bulk operations, batch wins.

You could also hybrid this. Real-time for high-priority or urgent summaries, batch for the routine stuff. That’s what most teams actually do in production.

Bottom line: If summaries don’t need to be instant, use Claude’s batch API and cut costs by 50%. Real-time only for cases where latency actually matters.