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NVIDIA Nemotron Nano 9B V2 (Non-reasoning)

NVIDIAOpen WeightNVIDIA Open Model License Agreement · Commercial OK

Description

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, albeit with a slight decrease in accuracy for harder prompts that require reasoning. Conversely, allowing the model to generate reasoning traces first generally results in higher-quality final solutions to queries and tasks.

Release Date
2025-08-18
Parameters
8.9B
Context Length
131K
Modalities
text

Capability Radar

27
general
59
coding
61
reasoning
33
science
60
agents
0
multimodal

Rankings

Domain#RankScoreSource
Code Ranking311
36.0
AA
General Ranking434
29.0
AA
Science414
32.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)64.0%SR

Code

LiveCodeBench71.1%SR

General

IFEvalGoogle Research (2023)90.3%SR
BFCL_v3_MultiTurn66.9%SR

Math

MATH-50097.8%SR
AIME 202572.1%SR

AA Evaluation Indices

(Artificial Analysis)
Math Index(Artificial Analysis)
62.3
Intelligence Index(Artificial Analysis)
7.2
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.7
Aime 25(MAA (Mathematical Association of America))
0.6
Gpqa(NYU + Cohere + Anthropic (2023))
0.6
Ifbench(Google Research (2023))
0.3
Lcr(Artificial Analysis)
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Scicode(UIUC + Argonne National Lab (2024))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

LLM Stats Category Scores

(LLM Stats (zeroeval))
Structured Output
90
Instruction Following
90
Math
80
Reasoning
80
General
80
Code
70
Physics
60
Biology
60
Chemistry
60

Pricing

Input Price$0.05 / 1M tokens
Output Price$0.195 / 1M tokens
Blended Price (3:1)$0.086 / 1M tokens

Speed

Tokens/sec166.7
Time to First Token1.33s
Time to Answer1.33s

Provider Price Ranking

Provider Price Ranking

1 providers

ProviderInputOutput
1NVIDIAPRIMARY
$0.05
$0.195

Compare pricing across different API providers for this model.

External Sources