{"uid":"cap__3kYKfc8vuMy1dOHZVoOe","slug":"x402-nvidia-qwen3-235b-a22b-via-nim-x402-7c844cd7","name":"X402-NVIDIA Qwen3-235B-A22B via NIM (x402)","description":"Access 48+ NVIDIA NIM AI models via x402 micropayments. Chat completions, vision, safety, translation, and more.","url":"https://x402-nvidia.vercel.app/api/qwen3-5-397b","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"object","example":{"choices":[{"message":{"role":"assistant","content":"Hello!"}}]},"properties":{"choices":{"type":"array","description":"Model responses"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.189357","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":"$0.189357/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.189357","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.189357","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_DbgvLklD_M_0jq-oXnw_N","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.189357","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs Qwen3-235B-A22B chat completions through NVIDIA NIM inference, billed per-call via x402 USDC micropayments","exampleAgentPrompt":"Use the Qwen3-235B model via NVIDIA NIM to answer this complex reasoning question: 'Explain step by step how transformer attention mechanisms work, and why scaled dot-product attention prevents gradient vanishing.'","exampleUseCases":null,"resultDescription":"Returns a JSON object with a choices array containing the assistant message — including role and content fields — representing the model's generated text response to the input prompt.","failureModes":["Payment failure or insufficient USDC balance causes 402 Payment Required","Malformed message array causes 400 Bad Request","Model overload or NVIDIA NIM unavailability causes 503","Context window exceeded causes truncation or 400 error","Invalid x402 payment header format causes authentication rejection"],"whenToPreferThis":"Choose this endpoint when you need access to the Qwen3-235B-A22B mixture-of-experts model specifically — a large open-weight model known for strong reasoning — hosted on NVIDIA NIM infrastructure, and you want pay-per-call billing via x402 USDC micropayments rather than a subscription. Prefer this over OpenAI or Anthropic endpoints when the task benefits from Qwen3's architecture or when you want crypto-native payment rails.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:42:32.207Z","isFirstParty":false}