# Nemotron Nano 2

Nemotron Nano 2 is an AI model released by NVIDIA on Aug 18 2025. It has 9B parameters and open weight. At release it scored 64% on GPQA Diamond and 71.1% on LiveCodeBench.

## Facts

| Field | Value |
| --- | --- |
| Model | Nemotron Nano 2 |
| Developer | NVIDIA |
| Release date | Monday, Aug 18 2025 |
| Licensing | Open Weight |
| Parameters | 9B |

## Benchmark scores published at release

| Benchmark | Score | Source | What it measures |
| --- | --- | --- | --- |
| LiveCodeBench | 71.1% | Lab | Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. |
| GPQA Diamond | 64% | Lab | Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. |

## Questions and answers

### When was Nemotron Nano 2 released?

Nemotron Nano 2 was released by NVIDIA on Monday, Aug 18 2025.

### Who made Nemotron Nano 2?

Nemotron Nano 2 was built by NVIDIA. The dominant AI chipmaker, publishing the open Nemotron model family. Ships weights, datasets and training recipes to seed demand for its hardware rather than to sell a chatbot.

### What benchmark scores did Nemotron Nano 2 get?

Nemotron Nano 2 reports 2 tracked benchmark scores — LiveCodeBench: 71.1%; GPQA Diamond: 64%. Scores are the figures published at release by NVIDIA.

### How many parameters does Nemotron Nano 2 have?

Nemotron Nano 2 is reported at 9B parameters.

### Is Nemotron Nano 2 open source?

Partly. Nemotron Nano 2 is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.

### What came before and after Nemotron Nano 2?

NVIDIA's previous tracked release was Llama Nemotron Ultra 253B on Apr 8 2025, 132 days earlier. It was followed by Nemotron 3 Nano on Dec 15 2025.


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Canonical page: https://aireleasetracker.com/model/nvidia/nemotron-nano-2
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Benchmark scores are the figures published by the releasing lab at launch.