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Nemotron 3 Ultra 550B A55B (Reasoning)

NVIDIA开源权重OpenMDW License v1.1 · 商用许可

描述

Nemotron 3 Ultra is NVIDIA's frontier-scale open model with 550B total / 55B active parameters, built for agentic reasoning, long-context analysis, tool use, and high-stakes RAG. It uses a hybrid Latent Mixture-of-Experts (LatentMoE) architecture interleaving Mamba-2, MoE, and select Attention layers, with Multi-Token Prediction (MTP) for native speculative decoding, and is pre-trained on ~20T tokens with an NVFP4 recipe. Reasoning is configurable on/off (plus a medium-effort mode) via the chat template. It supports up to a 1M-token context and 10 languages (English, French, Spanish, Italian, German, Japanese, Hindi, Korean, Brazilian Portuguese, Chinese). Released with open weights, training data, and recipes under the OpenMDW-1.1 license.

发布日期
2026-06-04
参数规模
550.0B
上下文长度
1.0M
支持模态
image, text

能力雷达图

24
general
48
coding
87
reasoning
59
science
40
agents
40
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜126
26.0
LS
代码能力榜143
66.0
AA
通用能力榜95
63.0
AA
科学能力119
63.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

Finance Agent53.7%自报
Finance Agent v237.5%
TAU3-Bench22.6%自报

Chat

Multi-Challenge63.8%自报

Code

PinchBench90.0%自报

General

GDPval46.7%自报

Instruction Following

IFBench81.7%自报

Language

MMLU-Pro86.8%自报
WMT24++83.7%自报
MMLU-ProX83.0%自报

Long Context

RULER94.7%自报
LongBench v261.9%自报

Math

IMO-AnswerBench92.3%自报

Reasoning

LiveCodeBench v689.0%自报
GPQANYU + Cohere + Anthropic (2023)87.0%自报
Apex84.8%自报
SWE-Bench Verified70.7%自报
SWE-bench Multilingual67.7%自报
AA-LCR65.4%自报
Terminal-Bench 2.156.4%自报
ProfBench56.0%自报
SciCode44.6%自报
BrowseCompOpenAI (2025)44.4%自报
Humanity's Last Exam37.4%自报
CritPT3.1%自报

Science

OmniScience78.7%自报

AA 评测指数

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
86.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
83.3
Ifbench(Google Research (2023))
81.4
Lcr(Artificial Analysis)
79.3
Terminalbench V2 1
53.9
Coding Index(Artificial Analysis)
49.3
Scicode(UIUC + Argonne National Lab (2024))
40.3
Terminalbench Hard(Stanford × Laude Institute (2026))
36.4
Hle(Center for AI Safety + Scale AI (2025))
28.4
Intelligence Index(Artificial Analysis)
22.9
Tau Banking
14.2
Terminalbench V4 0
0.5

LLM Stats 分类评分

(LLM Stats (zeroeval))
Instruction Following
80
Language
80
Science
80
Healthcare
80
Knowledge
70
Legal
70
Long Context
70
Physics
70
Frontend Development
70
Biology
70
Chemistry
70
Code
70
Chat
60
Math
60
Reasoning
60
Structured Output
60
Finance
60
General
60
Communication
60
Agents
50
Search
40
Tool Calling
40
Vision
40

定价

输入价格$0.6 / 1M tokens
输出价格$2.7 / 1M tokens
混合价格(3:1)$1.125 / 1M tokens

速度

Tokens/秒172.2
首Token延迟0.90s
首回答延迟14.12s

供应商价格排行

供应商价格排行

7 个供应商

最便宜: DeepInfra最贵: Venice AI
供应商输入输出
1DeepInfra最便宜
$0
$0
2NanoGPT
$0.5
$2.5
3NVIDIA主要
$0.6
$2.7
4Vercel AI Gateway
$0.6
$2.4
5Together AI
$0.6
$3.6
6CommandCode
$0.6
$2.4
7Venice AI
$0.625
$3.125

比较该模型在不同 API 供应商之间的定价。

外部链接