Batch
Batch and Offline API Jobs
Batch interfaces are for non-real-time workloads such as offline generation or processing. They should not be presented as a replacement for interactive chat or coding-tool usage.
Who this is for
Customers with large offline workloads.
Configuration reference
Values to confirm before setup
Batch use case
Offline, asynchronous, or non-urgent processing
Credential
Model Studio API key
Planning item
Queue time, max wait, and result retrieval
Setup flow
Practical steps
- 01Confirm the workload does not need real-time response.
- 02Estimate input size and output volume.
- 03Check whether the target model supports batch in the selected region.
- 04Prepare request format and storage path for results.
- 05Define retry and timeout behavior.
How to sell it
Batch is a cost/control discussion, not a general setup shortcut. Explain when it is appropriate and when the customer should use normal real-time inference instead.
Common mistakes
Check these before escalating
- Interactive tools such as coding assistants should not be routed through batch APIs.
- Batch availability and discounts can change.
- Do not promise completion time without official confirmation.
Related guides
Billing and Pricing Structure
A trustworthy quote separates official model usage, Token Plan subscription, shared quota, payment costs, taxes, and ModelSmarter service fees.
Rate Limits and Quota Errors
Rate limits are calculated by account, model, and aggregate API-key usage. A customer quote should include traffic assumptions and an escalation path.
Usage Monitoring and Cost Control
Production buyers need visibility into call volume, token consumption, success rate, quota remaining, and monthly replenishment.