{"uid":"cap_NWKLbVPQLDgclaRob_MD3","slug":"corpusai-cloud-pricing-gpu-committed-use-term-pricing-9cb9e4ca","name":"corpusAI Cloud Pricing: GPU Committed-Use Term Pricing","description":"corpusAI Cloud Pricing: Term structure per hyperscaler for one GPU model, USD per GPU-hour: spot, on-demand, 1y, 3y.","url":"https://cloud.trycorpus.ai/v1/term?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","required":["gpu"],"properties":{"gpu":{"type":"string","examples":["H100 SXM"],"description":"Normalized GPU model with a hyperscaler mapping, e.g. `H100 SXM`, `A100 SXM 80GB`, `L4`, `T4`."}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","properties":{"gpu":{"type":"string"},"note":{"type":"string"},"unit":{"type":"string"},"providers":{"type":"object","additionalProperties":{"type":"object","properties":{"terms":{"type":"array","items":{"type":"object","properties":{"hi":{"type":"number"},"lo":{"type":"number"},"term":{"type":"string"},"label":{"type":"string"},"value":{"type":"number","description":"Median across regions, USD per GPU-hour."},"regions":{"type":"integer"},"discount_pct":{"type":["number","null"]}}}},"regions":{"type":"integer"},"instance":{"type":"string"},"gpus_per_node":{"type":"integer"}}}},"methodology":{"type":"string"}}}}}}},"responseSchema":{"type":"json","example":{}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_2e2jxVo2nr9VCh_UuUDCV","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns committed-use (reserved/term) rental prices for a specified GPU model across cloud providers and marketplaces, broken down by contract term, region count, and discount percentage.","exampleAgentPrompt":"What are the current committed-use term prices for H100 SXM GPUs across AWS, GCP, Azure, and neo-clouds — show me the per-GPU-hour median cost by contract length and the discount percentages?","exampleUseCases":[{"title":"Optimize GPU reservation budget","prompt":"I'm planning to reserve GPUs for our ML training cluster for the next year — can you pull the committed-use pricing for H100 SXM across all major cloud providers and tell me which one offers the best price per GPU-hour on a 1-year term?"},{"title":"Compare hyperscaler vs neo-cloud GPU terms","prompt":"We're deciding between AWS, Azure, GCP, and some neo-clouds for a long-term A100 SXM 80GB reservation — can you look up the term pricing and show me how the discounts and per-hour costs compare across them?"},{"title":"Evaluate L4 GPU cost for long-term inference workloads","prompt":"We're scaling up inference with L4 GPUs and want to commit to reserved capacity — what are the current term-based pricing options and discounts available across providers, broken down by contract length?"}],"resultDescription":"A JSON object containing the queried GPU model, unit of pricing, methodology notes, and a breakdown by provider — each with the instance type, GPUs per node, number of regions covered, and an array of term options (e.g. 1-year, 3-year) each showing the median USD price per GPU-hour, low/high range, and discount percentage relative to on-demand.","failureModes":["Unknown or unnormalized GPU model name returns empty or error response","GPU model with no committed-use pricing data returns empty providers object","Malformed query parameter causes 400 bad request","Payment not settled in USDC via x402 results in 402 Payment Required"],"whenToPreferThis":"Use this endpoint when you need committed-use or reserved contract pricing specifically for a GPU model — as opposed to spot or on-demand rates. It is ideal for cost modeling of long-term AI/ML infrastructure commitments across hyperscalers (AWS, GCP, Azure) and neo-clouds, with multi-region and multi-term granularity. Prefer this over general cloud pricing APIs when GPU-specific term discounts and contract structures are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T06:37:57.178Z","isFirstParty":false,"canonicalSlug":"corpusai-cloud-pricing-gpu-committed-use-term-pricing-9cb9e4ca"}