Saltar al contenido principal

Nemotron 3 Ultra 550B A55B (Reasoning)

NVIDIAOpen WeightOpenMDW License v1.1 · Uso Comercial

Descripción

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.

Fecha de lanzamiento
2026-06-04
Parámetros
550.0B
Longitud del contexto
1.0M
Modalidades
text

Radar de capacidades

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

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica93
26.0
LS
Ranking de codificación156
65.0
AA
Ranking general85
74.0
AA
Ciencia121
67.0
AA

Puntuaciones 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.

Índices de evaluación 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)
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

Puntuaciones por categoría 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

Precios

Precio de entrada$0.675 / 1M tokens
Precio de salida$2.675 / 1M tokens
Precio mixto (3:1)$1.175 / 1M tokens
Precio de lectura caché$0.15 / 1M tokens

Velocidad

Tokens/seg101.7
Retraso del primer token2.57s
Tiempo hasta la respuesta24.95s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

7 proveedores

Más barato: NvidiaMás caro: Venice AI
ProveedorEntradaSalida
1NvidiaMás barato
$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

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas