September 15, 2025 · Together AI
Batch inference adds UI and all serverless models, with 30B enqueued token limit
- Streamlined UI: Create and track batch jobs in an intuitive interface. No complex API calls required.
- Universal model access: The batch inference API now supports all serverless models and private deployments, so you can run batch workloads on exactly the models you need.
- Massive scale jump: Rate limits are up from 10M to 30B enqueued tokens per model per user, a 3,000x increase. Need more? Together will work with you to customize.
- Lower cost: For most serverless models, the batch inference API runs at 50% the cost of the real-time API, making it the most economical way to process high-throughput workloads.