Best for
Large async jobs
Move large asynchronous jobs into lower-cost batch lanes
Built for summarization, extraction, classification, evaluation, code processing, and offline generation workloads that do not need an immediate response. If your job can finish asynchronously, BatchIn can trade time for lower cost and clearer batch receipts.
Delivery
Batch results and receipts
Priority tiers
High / Low / Fill
Visibility
Usage / cost / VaaS
When batch is the right fit
Batch is usually the right fit when you care more about total cost, repeated-context reuse, and large result delivery than about second-level latency.
- Large summarization, extraction, classification, and cleaning jobs
- Evaluation runs, offline generation, and scheduled jobs
- Jobs that can accept T+0 / T+1 or windowed delivery
What customers get
This public batch page does not pretend to be a realtime API. It focuses on job submission, priority tiers, result export, reruns, and reconciliation visibility.
- Batch-level status, throughput, failure reasons, and rerun history
- Request, cost, billing, and VaaS evidence linkage
- A clear distinction between batch-friendly jobs and low-latency workloads that should stay on realtime paths