Explore NVIDIA's Nemotron Nano 9B V2 Model

A versatile text model for reasoning and non-reasoning tasks.

Input: text Output: text Context: 128,000 tokens Release: 2025-09-05
Discover NVIDIA's Nemotron Nano 9B V2, a large language model released in September 2025. This model is designed for text-to-text interactions, featuring an extensive context window of 128,000 tokens. It excels in both reasoning and non-reasoning tasks, making it adaptable to various user needs. Users can control its reasoning process through system prompts, allowing for flexibility in generating responses with or without intermediate reasoning traces. Whether you're looking to generate structured outputs or choose specific tools, this model offers a range of capabilities to enhance your text-based applications.

Use Cases

Here are a few ways teams apply NVIDIA: Nemotron Nano 9B V2 (free) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Generate detailed reasoning traces

Adapt responses to user preferences

Create structured text outputs

Enhance text-based applications

Utilize flexible tool integration

Key Features

A quick look at the capabilities that make this model useful in real projects.

Large context window of 128,000 tokens

Text-to-text modality

Configurable reasoning process

Structured output generation

Tool choice flexibility

Specs

Overview
Vendor
nvidia
Model ID
nvidia/nemotron-nano-9b-v2:free
Release
2025-09-05
Modalities & context
Input
text
Output
text
Context
128,000 tokens
Parameters & defaults

Supported parameters: include_reasoning, reasoning, response_format, structured_outputs, tool_choice, tools

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: NVIDIA: Nemotron Nano 9B V2 (free)

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
AI has the potential to positively transform work, leisure, and creativity by enhancing efficiency, accessibility, and innovation. In the workplace, AI can automate repetitive tasks, allowing humans to focus on strategic, creative, or interpersonal roles. This shift could lead to more fulfilling jobs, reduced burnout, and new opportunities in fields like AI development, data analysis, and ethical oversight. AI-driven tools can also personalize learning and training, enabling continuous skill development and adaptability in a rapidly changing job market. In leisure, AI could revolutionize how people relax and engage with hobbies. Personalized recommendations for entertainment, travel, or fitness could make leisure more tailored and enjoyable. Virtual reality and AI-powered companions might offer immersive experiences, fostering social connections or creative exploration. Additionally, AI could optimize time management, helping individuals balance work and personal life more effectively. For creativity, AI can act as a collaborative tool, generating ideas, refining concepts, or handling technical aspects of art, music, or writing. This partnership between human intuition and machine precision could unlock new forms of expression and democratize creative processes, making them accessible to a broader audience. While challenges exist, AI’s potential to augment rather than replace human effort offers a promising future where work, leisure, and creativity thrive in harmony. (150 words)
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up.end
/ˌəpˈend/
verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.