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Nemotron 3 Ultra 550B A55B (Reasoning)

NVIDIA開源權重OpenMDW License v1.1 · 商用許可

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.

發布日期
2026-06-04
參數規模
550.0B
上下文長度
1.0M
支援模態
text

能力雷達圖

36
general
48
coding
87
reasoning
59
science
40
agents
0
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜93
26.0
LS
程式碼能力榜156
65.0
AA
通用能力榜85
74.0
AA
科學能力121
67.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Chat

Multi-Challenge63.8%自報

Code

PinchBench90.0%自報

General

GDPval46.7%自報

Instruction Following

IFBench81.7%自報

Language

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

Long Context

RULER94.7%自報
LongBench v261.9%自報

Math

IMO-AnswerBench92.3%自報

Reasoning

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

Science

OmniScience78.7%自報

AA 評測指數

(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)
71.0
Terminalbench V2 1
53.9
Coding Index(Artificial Analysis)
49.3
Scicode(UIUC + Argonne National Lab (2024))
39.9
Intelligence Index(Artificial Analysis)
38.3
Terminalbench Hard(Stanford × Laude Institute (2026))
36.4
Hle(Center for AI Safety + Scale AI (2025))
28.4
Tau Banking
14.2

LLM Stats 分類評分

(LLM Stats (zeroeval))
Language
80
Science
80
Instruction Following
80
Healthcare
80
Legal
70
Long Context
70
Physics
70
Frontend Development
70
Biology
70
Chemistry
70
Code
70
Knowledge
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

定價

輸入價格$0.675 / 1M tokens
輸出價格$2.675 / 1M tokens
混合價格(3:1)$1.175 / 1M tokens
快取讀取價格$0.15 / 1M tokens

速度

Tokens/秒101.7
首Token延遲2.57s
首回答延遲24.95s

供應商價格排行

供應商價格排行

7 個供應商

最便宜: Nvidia最貴: Venice AI
供應商輸入輸出
1Nvidia最便宜
$0.5
$2.5
2NanoGPT
$0.5
$2.5
3Kilo Gateway
$0.5
$2.2
4Vercel AI Gateway
$0.6
$2.4
5Together AI
$0.6
$3.6
6OpenRouter
$0.625
$3.125
7Venice AI
$0.625
$3.125

比較該模型在不同 API 供應商之間的定價。

外部連結