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Serverless API (LoRA) is billed based on GPU instance uptime (per-second billing). This is different from the Model API, which is billed per request.

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Pricing Overview

Serverless API (LoRA) supports two billing plans:
  • Pay as You Go: standard hourly rates by machine tier.
  • Pro (subscription): 20%–30% discount on Pay as You Go rates.
Prices and machine availability may change. Refer to RunComfy Pricing for the latest machine rates, plan benefits, and extras.

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How Billing Works

Billing is usage-based and calculated per second:
  • Billing starts when an instance is signaled to wake up.
  • Billing stops when the instance is fully shut down.
Your deployment can run a mix of persistent and on-demand instances, controlled by minimum_instances and maximum_instances.

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Persistent Instances

  • Set minimum_instances > 0 to keep that many instances running.
  • You are billed for the full uptime (including idle time) until you scale down.

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On-Demand Instances

  • Additional instances spin up to handle demand above minimum_instances (or all demand when minimum_instances = 0).
  • They scale down after the keep-warm period.
  • You are billed for cold start, execution, and keep-warm time.

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Instance Cost Breakdown

  • Cold start / warm-up time: instance boots and loads models/assets. Duration depends on machine tier, workflow complexity, and model size.
  • Execution time: workflows run. This is the main compute time.
  • Keep-warm time: idle time before scale-down. This time is billed.
Note: You may also see Queue Time (waiting for resources or concurrency). Queue time is not billed.

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Controlling cost

  • Scale to zero: set minimum instances = 0 to avoid idle cost (first request may be slower due to cold start).
  • Cap concurrency: keep maximum instances conservative to limit parallel capacity and spend.
  • Tune keep-warm: shorter keep-warm lowers idle cost; longer keep-warm reduces cold starts during bursty traffic.

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Support

If you believe you’ve been incorrectly billed, contact hi@runcomfy.com with your deployment ID, request ID (if applicable), and the approximate time of the issue.