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NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning)

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

描述

Nemotron 3 Nano is a 31.6B hybrid MoE model optimized for fast, long‑context agentic reasoning. It mixes Mamba‑2 and Transformer layers with a sparse MoE router (~3.6B active params per token) to deliver up to 4× higher throughput than Nemotron 2 and strong accuracy across math, coding, and tools. It supports a 1M‑token context window, offers Reasoning ON/OFF and a thinking‑budget to control costs, and ships with open weights, data, and RL tooling (NeMo Gym/RL). Released Dec 15, 2025 under the NVIDIA Open Model License, it’s built as the efficient backbone for multi‑agent systems at scale.

发布日期
2025-12-15
参数规模
32.0B
上下文长度
131K
支持模态
text

能力雷达图

22
general
33
coding
18
reasoning
27
science
50
agents
0
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜114
36.0
LS
代码能力榜408
22.0
AA
通用能力榜436
29.0
AA
科学能力466
26.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Terminal-Bench8.5%自报

Biology

GPQANYU + Cohere + Anthropic (2023)75.0%自报
SciCode33.3%自报

Code

SWE-Bench Verified38.8%自报

Communication

Tau2 Retail56.9%自报
Tau2 Airline48.0%自报
Tau2 Telecom42.2%自报
Multi-Challenge38.5%自报

Creativity

Arena-Hard v267.7%自报

Finance

MMLU-Pro78.3%自报
MMLU-ProX59.5%自报

General

LiveCodeBench v668.3%自报

Language

WMT24++86.2%自报

Math

AIME 202599.2%自报
Humanity's Last Exam15.5%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
13.3
Intelligence Index(Artificial Analysis)
7.2
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.6
Gpqa(NYU + Cohere + Anthropic (2023))
0.4
Ifbench(Google Research (2023))
0.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.3
Scicode(UIUC + Argonne National Lab (2024))
0.2
Aime 25(MAA (Mathematical Association of America))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Lcr(Artificial Analysis)
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0

LLM Stats 分类评分

(LLM Stats (zeroeval))
Legal
70
Language
70
Finance
70
Healthcare
70
Creativity
70
Writing
70
Math
60
Physics
50
Reasoning
50
General
50
Biology
50
Chemistry
50
Communication
50
Tool Calling
50
Frontend Development
40
Code
30
Vision
20
Agents
10

定价

输入价格$0.05 / 1M tokens
输出价格$0.2 / 1M tokens
混合价格(3:1)$0.088 / 1M tokens

速度

Tokens/秒202.9
首Token延迟0.39s
首回答延迟0.39s

供应商价格排行

供应商价格排行

8 个供应商

最便宜: DeepInfra最贵: NanoGPT
供应商输入输出
1DeepInfra最便宜
$0
$0
2NVIDIA主要
$0.05
$0.2
3OpenRouter
$0.05
$0.2
4Kilo Gateway
$0.05
$0.2
5Vercel AI Gateway
$0.05
$0.24
6Cortecs
$0.06
$0.24
7Venice AI
$0.075
$0.3
8NanoGPT
$0.17
$0.68

比较该模型在不同 API 供应商之间的定价。

外部链接