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Nemotron 3 Ultra 550B A55B (Reasoning)

NVIDIAOpen WeightOpenMDW License v1.1 · Usage Commercial

Description

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.

Date de sortie
2026-06-04
Paramètres
550.0B
Longueur du contexte
1.0M
Modalités
image, text

Radar de capacités

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

Classements

Domaine#RangScoreSource
Capacité agentique126
26.0
LS
Classement codage142
66.0
AA
Classement général94
63.0
AA
Science118
63.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Chat

Multi-Challenge63.8%Aut.

Code

PinchBench90.0%Aut.

General

GDPval46.7%Aut.

Instruction Following

IFBench81.7%Aut.

Language

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

Long Context

RULER94.7%Aut.
LongBench v261.9%Aut.

Math

IMO-AnswerBench92.3%Aut.

Reasoning

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

Science

OmniScience78.7%Aut.

Indices d'évaluation AA

(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

Scores par catégorie LLM Stats

(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

Tarification

Prix d'entrée$0.6 / 1M tokens
Prix de sortie$2.7 / 1M tokens
Prix mixte (3:1)$1.125 / 1M tokens

Vitesse

Tokens/sec151.6
Délai du premier token0.89s
Temps de réponse15.90s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

7 fournisseurs

Moins cher: DeepInfraPlus cher: Venice AI
FournisseurEntréeSortie
1DeepInfraMoins cher
$0
$0
2NanoGPT
$0.5
$2.5
3NVIDIAPRINCIPAL
$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

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes