Do AI Coding Agent Platforms Charge for Idle Agent Time, or Only Active Usage?

Cloud coding agent platforms commonly use seat-based, token or credit-based, or compute-time billing, with compute-time models posing the greatest risk of charging for containers or sessions that remain provisioned while agents wait for human input, webhooks, reviews, or dependencies. Organizations are advised to ask vendors when billing begins, whether blocked or idle states accrue charges, whether active and inactive time are priced differently, and whether per-run cost details are available. Demo-based estimates can be misleading because real production workflows include review queues and pauses, so teams should test a genuine workflow across a full billing cycle and compare invoices with actual agent activity. Warp presents its Factories product as a flexible alternative that allows customers to use their own or Warp-managed inference and compute, route different workloads to lower-cost models, and inspect per-run cost, throughput, and quality metrics.

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