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Nemotron 3 Ultra 550B A55B (Reasoning)

NVIDIAओपन वेटOpenMDW License v1.1 · व्यावसायिक उपयोग

विवरण

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.

रिलीज़ तिथि
2026-06-04
पैरामीटर
550.0B
संदर्भ लंबाई
1.0M
मोडैलिटीज़
text

क्षमता रडार

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

रैंकिंग

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Chat

Multi-Challenge63.8%स्वयं

Code

PinchBench90.0%स्वयं

General

GDPval46.7%स्वयं

Instruction Following

IFBench81.7%स्वयं

Language

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

Long Context

RULER94.7%स्वयं
LongBench v261.9%स्वयं

Math

IMO-AnswerBench92.3%स्वयं

Reasoning

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

Science

OmniScience78.7%स्वयं

AA मूल्यांकन सूचकांक

(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 श्रेणी स्कोर

(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

मूल्य निर्धारण

इनपुट मूल्य$0.6 / 1M टोकन
आउटपुट मूल्य$2.75 / 1M टोकन
मिश्रित मूल्य (3:1)$1.137 / 1M टोकन
कैश पठन मूल्य$0.15 / 1M टोकन

गति

टोकन/सेकंड69.8
पहले टोकन में देरी2.92s
पहले उत्तर में देरी35.51s

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

7 प्रदाता

सबसे सस्ता: Nvidiaसबसे महंगा: Venice AI
प्रदाताइनपुटआउटपुट
1Nvidiaसबसे सस्ता
$0.5
$2.5
2NanoGPT
$0.5
$2.5
3OpenRouter
$0.5
$2.2
4Kilo Gateway
$0.5
$2.2
5Vercel AI Gateway
$0.6
$2.4
6Together AI
$0.6
$3.6
7Venice AI
$0.625
$3.125

इस मॉडल के लिए विभिन्न API प्रदाताओं के मूल्य निर्धारण की तुलना करें।

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