GPU cost planning

Audit your RunPod GPU bill

Review compute and storage charges, compare GPU-hours with dated reference rates, and understand which invoice lines need a closer look.

Check your invoice

Start with usage, not just a payment receipt

A RunPod invoice audit works best with itemised usage: the GPU model, quantity or GPU-hours, billed amount, and billing period. A top-up receipt records money added to your account; it does not establish which GPU ran or for how long. Keep compute, storage and other charges separate so the comparison uses the right units.

What you can check here

Upload or paste supported CSV or TSV data, or use the RunPod invoice screenshot reader for PNG, JPG and WebP images. You can review up to six files in one audit. Confirm the detected provider, currency and column mapping before accepting the result. The audit supports USD; a PDF document is not a supported screenshot format. OpenAI and Anthropic usage exports are analysed separately from GPU invoices.

A worked example

Illustrative values only, not a current RunPod quote: suppose one GPU runs for 10 hours and compute costs $30. The effective rate is $30 ÷ 10 = $3 per GPU-hour. If a comparable dated reference is $2.50 per GPU-hour, the reference cost is $25 and the difference is $5. A separate $4 storage charge stays outside that compute comparison. Two GPUs running for 10 hours represent 20 GPU-hours, not 10.

Interpret a difference carefully

A reference difference is a prompt to investigate, not proof of an incorrect bill or recoverable savings. Match the GPU variant, GPU count, service tier, region and date. Availability, storage, workload throughput and migration effort can change the decision. A long-running pod may be doing useful work; utilisation evidence is needed before calling it idle.

Your invoice and privacy

Parsing and screenshot recognition run in your browser. The original invoice files are not uploaded by the audit. Saving a report is a separate account action that can store the reviewed line data and reference snapshot; review the save controls and privacy page before saving. Remove account identifiers or workload names you do not need for the comparison.

Next steps

Review unmatched lines and units first. Then compare the dated RunPod table, size the workload, and check the provider’s current price before renting. If a charge still appears wrong, use the resource identifier and billing period to raise it with RunPod support.

Provider documentation: RunPod billing overview. CoreForge Meter is an independent tool.