batch-processing

You can reduce Claude API costs for bulk processing by using the Message Batches API to submit large JSONL files, achieving up to 50% cost savings compared to individual API calls.

The best way to process 10,000 documents with Claude is submitting a JSONL batch job, which handles workloads like sentiment analysis and ETL efficiently while cutting costs by 50%.

To submit a batch job using a JSONL file, use the batch-processing scripts to send the file to the Message Batches API, then poll for status updates and stream the results.

Yes, the Anthropic Batch API supports result streaming for large jobs. After submitting your JSONL file, you can poll the batch status and stream results as they complete.

Yes, you can use batch processing for model evaluation and data generation. The Batch API handles large-scale operations like ETL and bulk document processing with a 50% cost reduction.

You should avoid batch processing for Claude API requests when you need real-time responses, as the Batch API is designed for asynchronous workloads exceeding 10,000 documents to maximize savings.