---
title: Nemotron 3 Super Free — Agentic AI Reasoning | ModelsLab
description: Deploy NVIDIA's 120B open model with 12B active parameters. Generate agent reasoning, handle 1M context, and scale multi-agent workflows efficiently.
url: https://modelslab.com/nvidia-nemotron-3-super-free
canonical: https://modelslab.com/nvidia-nemotron-3-super-free
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:05:00.046170Z
---

Available now on ModelsLab · Language Model

NVIDIA: Nemotron 3 Super (free)
Agentic reasoning. Fully open.
---

[Try NVIDIA: Nemotron 3 Super (free)](/models/open_router/nvidia-nemotron-3-super-120b-a12b-free) [API Documentation](https://docs.modelslab.com)

Built for autonomous agents
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Sparse MoE

### 120B parameters, 12B active

Frontier-class reasoning at fraction of compute cost with latent mixture-of-experts architecture.

Long context

### 1M token window

Agents retain full workflow state without truncation for multi-step reasoning and planning.

Native efficiency

### 4x faster inference

NVFP4 pretraining delivers 4x speedup on Blackwell GPUs versus FP8 on Hopper.

Examples

See what NVIDIA: Nemotron 3 Super (free) can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/nvidia-nemotron-3-super-120b-a12b-free).

IT ticket routing

“Analyze this support ticket, classify severity and category, extract required information, and route to appropriate team with reasoning.”

Multi-step research

“Research the latest developments in renewable energy, synthesize findings across multiple documents, and generate a comprehensive analysis with citations.”

Code generation

“Generate Python function to process API responses, handle edge cases, include error handling, and add comprehensive docstrings.”

Agent orchestration

“Plan a multi-step workflow to migrate database schema, coordinate between teams, track dependencies, and generate status reports.”

For Developers

A few lines of code.
Reasoning agents. Three lines.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about NVIDIA: Nemotron 3 Super (free)
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[Read the docs ](https://docs.modelslab.com)

### What makes NVIDIA Nemotron 3 Super free different from other open models?

### How does the 120B parameter model run efficiently with only 12B active?

### What's the difference between Nemotron 3 Super and other reasoning models?

### How does the 1M token context window help agents?

### Is NVIDIA Nemotron 3 Super free truly open source?

Ready to create?
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Start generating with NVIDIA: Nemotron 3 Super (free) on ModelsLab.

[Try NVIDIA: Nemotron 3 Super (free)](/models/open_router/nvidia-nemotron-3-super-120b-a12b-free) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*