--- title: Nemotron 3 Nano 30B — Efficient Reasoning LLM | ModelsLab description: Access Nvidia Nemotron 3 Nano 30B A3b Bf16 via API for 1M token context and hybrid MoE reasoning. Generate accurate responses with low-latency inference... url: https://modelslab.com/nvidia-nemotron-3-nano-30b-a3b-bf16 canonical: https://modelslab.com/nvidia-nemotron-3-nano-30b-a3b-bf16 type: website component: Seo/ModelPage generated_at: 2026-04-15T02:09:46.171950Z --- Available now on ModelsLab · Language Model Nvidia Nemotron 3 Nano 30B A3b Bf16 Reason Fast. Scale Huge. --- [Try Nvidia Nemotron 3 Nano 30B A3b Bf16](/models/together_ai/nvidia-NVIDIA-Nemotron-3-Nano-30B-A3B-BF16) [API Documentation](https://docs.modelslab.com) Unlock Nemotron Efficiency. --- Hybrid MoE ### 3.5B Active Params Activates 3.5B of 30B params per token in Nvidia Nemotron 3 Nano 30B A3b Bf16 for low-latency inference. 1M Context ### Ultra-Long Sequences Handles 1M tokens in Nvidia Nemotron 3 Nano 30B A3b Bf16 model, ideal for RAG and agents. Top Benchmarks ### Beats Qwen3 GPT-OSS Outperforms rivals on MMLU-Pro, AIME, GPQA with Nvidia Nemotron 3 Nano 30B A3b Bf16 architecture. Examples See what Nvidia Nemotron 3 Nano 30B A3b Bf16 can create --- Copy any prompt below and try it yourself in the [playground](/models/together_ai/nvidia-NVIDIA-Nemotron-3-Nano-30B-A3B-BF16). Code Debug “Analyze this Python function for bugs and suggest fixes: def fibonacci(n): if n <= 1: return n else: return fibonacci(n-1) + fibonacci(n-2). Optimize for efficiency.” Math Proof “Prove that the sum of angles in a triangle is 180 degrees using Euclidean geometry axioms. Provide step-by-step reasoning.” Document Summary “Summarize key points from this 5000-word research paper on quantum computing advancements, focusing on error correction techniques.” Agent Plan “Plan a multi-step workflow for automating customer support: intake query, classify issue, retrieve knowledge base, generate response.” For Developers A few lines of code. Reasoning LLM. One Call. --- 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 ```

import requests

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

``` FAQ Common questions about Nvidia Nemotron 3 Nano 30B A3b Bf16 --- [Read the docs ](https://docs.modelslab.com) ### What is Nvidia Nemotron 3 Nano 30B A3b Bf16? ### How does Nvidia Nemotron 3 Nano 30B A3b Bf16 API work? ### What are Nvidia Nemotron 3 Nano 30B A3b Bf16 model specs? ### Is Nvidia Nemotron 3 Nano 30B A3b Bf16 alternative to Qwen3? ### Why use nvidia nemotron 3 nano 30b a3b bf16 api? ### What is nvidia nemotron 3 nano 30b a3b bf16 LLM best for? Ready to create? --- Start generating with Nvidia Nemotron 3 Nano 30B A3b Bf16 on ModelsLab. [Try Nvidia Nemotron 3 Nano 30B A3b Bf16](/models/together_ai/nvidia-NVIDIA-Nemotron-3-Nano-30B-A3B-BF16) [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) --- *Generated by ModelsLab - 2026-04-15*