Short answer: RunPod charges by the second for GPU time, with big differences between community cloud (cheaper, less guaranteed) and secure cloud (pricier, enterprise-grade), plus a serverless option that scales to zero. Real cost depends on utilization, not the headline hourly rate.

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How RunPod Bills

RunPod meters GPU usage per second. You choose a GPU type and a cloud tier, and pay for the time a pod runs. Serverless endpoints bill only while requests execute and scale to zero between them, which changes the math for bursty workloads.

The Pricing Tiers

OptionWhat it isBest for
Community cloudLower-cost capacity from vetted hostsCost-sensitive, interruption-tolerant jobs
Secure cloudData-center-grade, higher reliabilityProduction and sensitive workloads
On-demandGuaranteed instance while runningSteady, predictable usage
SpotCheaper, interruptibleFault-tolerant training and batch
ServerlessPer-second, scale to zeroBursty inference and APIs

What Drives Your Real Cost

UtilizationIdle GPUs are the biggest waste — scale to zero when you can.
GPU choiceRight-size VRAM to the model; do not overpay for headroom.
TierCommunity vs secure can swing the rate substantially.
Data egressMovement and storage add up beyond compute.

RunPod vs the Alternatives

RunPod is strong on raw GPU price; managed platforms trade some cost for developer experience. Compare in Modal vs RunPod and Modal vs AWS Lambda. For GPU selection, see H100 vs H200.

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