NVIDIA
NVIDIA Nemotron Nano 9B V2 (Non-reasoning)
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so.\
NVIDIA model catalogModel Snapshot
TypeLanguage
ReleaseAug 18, 2025
Context128,000
Tagsreasoning, tool-use
Overall
Rank #461 across 600
7.4
Coding
No rank
n/a
Blended Price
Rank #15 across 379
$0.086/M
Strength Profile
Percentile score by analysis domain.
* Cost is inverted: lower input, output, and blended prices rank higher.
Benchmark Percentiles
Higher bars mean stronger relative placement.
Model Details
Runtime
Output Speed176.5 tok/s
First Token1.17s
Max Output131,072
Pricing
Blended$0.086/M
Input$0.050/M
All Benchmarks
| Metric | Domain | Value | Rank |
|---|---|---|---|
| Artificial Analysis Intelligence Index | overall | 7.4 | #461 |
| Artificial Analysis Math Index | math | 62.3 | #114 |
| MMLU-Pro | reasoning | 73.9% | #171 |
| GPQA | reasoning | 55.7% | #378 |
| Humanity's Last Exam |