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Model API is billed per request (on-demand inference). You do not pay for idle GPUs and you do not create deployments. For up-to-date pricing for a specific model or pipeline, check its model page in the Models catalog — the UI shows the current rate and billing unit. For LoRAs (Trainer > Run LoRA), pricing is shown on the corresponding base model’s page.

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What affects cost

Cost depends on the model/pipeline and the work it performs. Common drivers include:
  • model family (some pipelines are heavier than others)
  • output size (resolution / frames)
  • video length / FPS

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How to estimate

  • Look up the model in the Models catalog
  • Use the model’s pricing unit as your baseline
  • Multiply by expected runtime or output count (depending on the model)

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Support

If you believe you’ve been incorrectly billed, contact [email protected] with your request ID and the approximate time of the issue.