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Nemotron 3 Ultra 550B A55B (Reasoning)

NVIDIAOpen WeightOpenMDW License v1.1 · Commercial OK

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.

Release Date
2026-06-04
Parameters
550.0B
Context Length
1.0M
Modalities
text

Capability Radar

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

Rankings

Domain#RankScoreSource
Agentic Capability93
26.0
LS
Code Ranking156
65.0
AA
General Ranking85
74.0
AA
Science121
67.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Chat

Multi-Challenge63.8%SR

Code

PinchBench90.0%SR

General

GDPval46.7%SR

Instruction Following

IFBench81.7%SR

Language

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

Long Context

RULER94.7%SR
LongBench v261.9%SR

Math

IMO-AnswerBench92.3%SR

Reasoning

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

Science

OmniScience78.7%SR

AA Evaluation Indices

(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 Category Scores

(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

Pricing

Input Price$0.675 / 1M tokens
Output Price$2.675 / 1M tokens
Blended Price (3:1)$1.175 / 1M tokens
Cache Read Price$0.15 / 1M tokens

Speed

Tokens/sec101.7
Time to First Token2.57s
Time to Answer24.95s

Provider Price Ranking

Provider Price Ranking

7 providers

Cheapest: NvidiaMost Expensive: Venice AI
ProviderInputOutput
1NvidiaCheapest
$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

Compare pricing across different API providers for this model.

External Sources