Nemotron 3 120B (wafermap.xyz)

x402

Nemotron 3 120B (wafermap.xyz) is a paid API for AI agents from wafermap.xyz, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Runs NVIDIA's Nemotron 3 120B mixture-of-experts language model, tuned for agentic workflows, on a pay-per-call basis via x402.

Price / call$0.01

Seller volume →—

Success—

StatusUnknown

How this service works

Nemotron 3 120B — NVIDIA's open MoE model tuned for agent workflows.

Output

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.

Example use cases

Agentic task decomposition assistant

“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.”

Technical code review and explanation

“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.”

Structured report drafting from raw notes

“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.”

Technical details

Endpoint

POSThttps://wafermap.xyz/v1/nemotron-3?utm_source=zero.xyz

When to prefer

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.

Side effects

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

Input

Schema · Request body

Field	Type	Description
prompt	string	What you want, in plain words.
system	string	Optional instructions that shape every answer.
max_tokens	number	Output cap. 2048 at most, 1024 by default.

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