NVIDIA Nemotron 3 Nano Omni

NVIDIA Nemotron-3 Nano Omni Text

NVIDIA Nemotron-3 Nano Omni Text is a lightweight text-generation model for prompt-based language understanding and response generation. Provide an English prompt, and the model can generate answers, summaries, structured outputs, explanations, and other text-based responses with controllable length and sampling behavior.

Why Choose This?

• Fast text generation Generate responses quickly for chat, automation, summarization, and general language tasks.

• Flexible response control Adjust max_tokens, temperature, and top_p to balance response length, determinism, and creativity.

• Optional system steering Use system_prompt to guide tone, structure, formatting, or task behavior for more controlled outputs.

• Reasoning mode options Choose between no_think and think depending on your preferred response mode and workflow.

• Production-ready API Suitable for assistants, content tools, automation pipelines, internal workflows, and structured text generation tasks.

Parameters

Parameter	Required	Description
prompt	Yes	English text prompt sent to the model.
system_prompt	No	Optional system prompt used to steer behavior, tone, or response style.
reasoning_mode	No	Reasoning mode: no_think (default) or think.
max_tokens	No	Maximum number of tokens to generate. Default: 1024.
temperature	No	Sampling temperature. Lower values are more deterministic. Default: 0.7.
top_p	No	Nucleus sampling probability mass. Default: 0.95.

How to Use

1. Write your prompt — describe the task, question, or output you want the model to generate.
2. Add a system prompt (optional) — guide the model’s role, format, or tone.
3. Choose reasoning mode (optional) — use no_think or think depending on your workflow.
4. Set generation controls (optional) — adjust max_tokens, temperature, and top_p.
5. Submit — run the model and review the generated response.

Example Prompt

Summarize the following product requirements into a concise executive brief with key goals, risks, and next steps.

Pricing

Billed by configured max_tokens.

Max Tokens	Cost
1000	$0.006
1024	$0.0061
2000	$0.012
4000	$0.024
8000	$0.048

Billing Rules

• Pricing is based on the configured max_tokens value.
• Cost is $0.006 per 1,000 max tokens.
• Increasing max_tokens increases cost linearly.
• prompt, system_prompt, reasoning_mode, temperature, and top_p do not change pricing directly.

Best Use Cases

• Question answering — Generate direct answers to prompts and tasks.
• Summarization — Condense long text into concise takeaways or structured briefs.
• Content drafting — Produce outlines, rewrites, explanations, and short-form written content.
• Structured generation — Generate bullet points, labeled sections, or formatted outputs with system guidance.
• Internal automation — Support workflow tools, copilots, and prompt-driven backend tasks.
• General language tasks — Handle classification, transformation, extraction, and text reasoning workflows.

Pro Tips

• Write prompts in English for best compatibility.
• Be explicit about the desired output format, such as summary, bullets, JSON-style structure, or step-by-step explanation.
• Use system_prompt when you need consistent tone, role behavior, or formatting rules.
• Keep temperature lower when you want more stable and deterministic results.
• Increase max_tokens only when you need longer outputs, since pricing is tied to that value.
• Use top_p and temperature carefully together to balance creativity and control.

Notes

• prompt is the only required field.
• prompt must be written in English.
• Default settings include reasoning_mode = no_think, max_tokens = 1024, temperature = 0.7, and top_p = 0.95.
• Pricing depends on configured max_tokens, not on other generation settings.

Related Models

• NVIDIA Nemotron-3 Nano Omni Vision — Analyze images with the same Omni model family.
• NVIDIA Nemotron-3 Nano Omni Video — Analyze video content with temporal understanding.
• NVIDIA Nemotron-3 Nano Omni Audio — Process and understand audio inputs for multimodal workflows.