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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.

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