{"uid":"cap_BXQvEjROejphArc_--9Yo","slug":"nemotron-3-120b-wafermap-xyz-8832ab4d","name":"Nemotron 3 120B (wafermap.xyz)","description":"Nemotron 3 120B — NVIDIA's open MoE model tuned for agent workflows.","url":"https://wafermap.xyz/v1/nemotron-3?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"prompt":{"type":"string","maxLength":24000,"minLength":1,"description":"What you want, in plain words."},"system":{"type":"string","maxLength":8000,"minLength":1,"description":"Optional instructions that shape every answer."},"max_tokens":{"type":"number","maximum":2048,"description":"Output cap. 2048 at most, 1024 by default.","exclusiveMinimum":0}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_zVejIdxyHj0gKhpJjHOxf","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs NVIDIA's Nemotron 3 120B mixture-of-experts language model, tuned for agentic workflows, on a pay-per-call basis via x402.","exampleAgentPrompt":"Ask Nemotron 3 120B to help me plan a multi-step research workflow: use the system prompt 'You are a rigorous research assistant who breaks tasks into clear steps' and the user prompt 'I need to compare three open-source vector databases for a production RAG system — outline evaluation criteria, trade-offs, and a recommended decision framework', with a 1500 token output cap.","exampleUseCases":[{"title":"Agentic task decomposition assistant","prompt":"Use Nemotron 3 to break down this complex objective into a step-by-step agent plan: 'Monitor competitor pricing daily, summarize changes, and draft a pricing adjustment proposal if a threshold is crossed.' Set the system prompt to 'You are an expert at designing autonomous agent workflows' and cap the output at 1024 tokens."},{"title":"Technical code review and explanation","prompt":"Send this Python function to Nemotron 3 120B and ask it to review for bugs, suggest improvements, and explain what it does in plain English — use a system prompt of 'You are a senior Python engineer' and allow up to 2048 tokens in the response."},{"title":"Structured report drafting from raw notes","prompt":"I have a bunch of raw meeting notes I need turned into a clean executive summary. Pass them to Nemotron 3 with the system instruction 'You are a professional business writer who produces concise executive summaries' and limit the output to 800 tokens."}],"resultDescription":"Returns a generated text completion from the Nemotron 3 120B MoE model, up to 2048 tokens. The response reflects the provided system prompt instructions and answers or expands on the user's prompt, optimized for agentic and instruction-following use cases.","failureModes":["Prompt exceeds 24000 character limit — request rejected","max_tokens set to 0 or negative — validation error","System prompt exceeds 8000 character limit — request rejected","Payment not provided or insufficient USDC — x402 payment required error","Model unavailable or overloaded — 503 or timeout response","Output truncated if max_tokens is set too low for the task"],"whenToPreferThis":"Choose this endpoint when you need a large, open MoE model specifically tuned for agentic and instruction-following workflows, particularly if you want NVIDIA's Nemotron 3 120B rather than alternatives like DeepSeek or Llama. It is well-suited for multi-step reasoning, tool-use planning, and structured output generation. The pay-per-call x402 model makes it convenient for agent pipelines without subscription overhead. Prefer DeepSeek V4 Pro for harder math/code, or Llama 4 Scout for multimodal tasks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T18:40:00.858Z","isFirstParty":false,"canonicalSlug":"nemotron-3-120b-wafermap-xyz-8832ab4d"}