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NVIDIA Nemotron Nano 9B V2 (Non-reasoning)

NVIDIA开源权重NVIDIA Open Model License Agreement · 商用许可

描述

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.

发布日期
2025-08-18
参数规模
8.9B
上下文长度
131K
支持模态
text

能力雷达图

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

排行榜排名

领域#排名分数来源
代码能力榜311
36.0
AA
通用能力榜434
29.0
AA
科学能力414
32.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)64.0%自报

Code

LiveCodeBench71.1%自报

General

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

Math

MATH-50097.8%自报
AIME 202572.1%自报

AA 评测指数

(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 分类评分

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

定价

输入价格$0.05 / 1M tokens
输出价格$0.195 / 1M tokens
混合价格(3:1)$0.086 / 1M tokens

速度

Tokens/秒166.7
首Token延迟1.33s
首回答延迟1.33s

供应商价格排行

供应商价格排行

1 个供应商

供应商输入输出
1NVIDIA主要
$0.05
$0.195

比较该模型在不同 API 供应商之间的定价。

外部链接