---
title: Nemotron 3 Nano 30B A3B — Fast Reasoning LLM | ModelsLab
description: Run NVIDIA's efficient open LLM with 1M context. Generate reasoning, code, and long-form text 4x faster. Try free inference now.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/nvidia-nemotron-3-nano-30b-a3b-free
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/nvidia-nemotron-3-nano-30b-a3b-free
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T09:45:29.685022Z
---

Available now on ModelsLab · Language Model

NVIDIA: Nemotron 3 Nano 30B A3B (free)
Reasoning. Speed. Efficiency.
---

[Try NVIDIA: Nemotron 3 Nano 30B A3B (free)](/models/open_router/nvidia-nemotron-3-nano-30b-a3b-free) [API Documentation](https://docs.modelslab.com)

Build Faster Agentic AI Systems
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4x Faster Throughput

### Lightning-Speed Inference

Activates only 3.5B parameters per token, delivering 4x faster throughput than Nemotron 2 Nano.

1M Token Context

### Ultra-Long Context Window

Process documents, code repositories, and conversations up to 1 million tokens without degradation.

Hybrid MoE Architecture

### Efficient Expert Routing

Mixture-of-Experts with Mamba-2 layers reduces compute cost while maintaining reasoning accuracy.

Examples

See what NVIDIA: Nemotron 3 Nano 30B A3B (free) can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/nvidia-nemotron-3-nano-30b-a3b-free).

Code Review

“Review this Python function for performance bottlenecks and suggest optimizations with reasoning steps.”

Document Analysis

“Summarize the key findings from this 50-page technical report and extract actionable insights.”

Multi-Step Reasoning

“Solve this complex math problem step-by-step, showing your reasoning before the final answer.”

Agent Workflow

“Plan a customer support workflow that routes queries to appropriate departments based on intent classification.”

For Developers

A few lines of code.
Reasoning model. 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 Nano 30B A3B (free)
---

[Read the docs ](https://docs.modelslab.com)

### What makes NVIDIA Nemotron 3 Nano 30B A3B free different from other 30B models?

It uses a hybrid Mixture-of-Experts architecture that activates only 3.5B parameters per token, delivering 4x faster throughput and lower inference costs than traditional 30B models while maintaining superior accuracy on reasoning and coding tasks.

### How does the 1M token context window benefit my application?

The 1M token context enables processing entire documents, codebases, and conversation histories without truncation, making it ideal for RAG systems, document intelligence, and long-context reasoning tasks.

### Is NVIDIA Nemotron 3 Nano 30B A3B open source?

Yes, the model weights, training recipe, and training data are fully open and available on Hugging Face. It's ready for commercial use and can be fine-tuned locally.

### What are the hardware requirements to run this model?

The 30B model requires approximately 24GB RAM or VRAM. It's optimized for NVIDIA GPU-accelerated systems and can be deployed via vLLM or TensorRT-LLM for production inference.

### How does Nemotron 3 Nano perform on coding and reasoning tasks?

It outperforms GPT-OSS-20B and Qwen3-30B-A3B on benchmarks spanning coding, reasoning, and math tasks, while maintaining 3.3x higher throughput on long-context workloads.

### Can I use NVIDIA Nemotron 3 Nano 30B A3B for building AI agents?

Yes, it's specifically designed for agentic AI systems with strong instruction-following, tool-calling, and reasoning capabilities. The efficient inference makes it cost-effective for production agent deployments.

Ready to create?
---

Start generating with NVIDIA: Nemotron 3 Nano 30B A3B (free) on ModelsLab.

[Try NVIDIA: Nemotron 3 Nano 30B A3B (free)](/models/open_router/nvidia-nemotron-3-nano-30b-a3b-free) [API Documentation](https://docs.modelslab.com)

---

*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 - 2026-05-13*