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NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning)

NVIDIAOpen WeightNVIDIA Open Model License Agreement · Uso Comercial

Descripción

Nemotron 3 Nano is a 31.6B hybrid MoE model optimized for fast, long‑context agentic reasoning. It mixes Mamba‑2 and Transformer layers with a sparse MoE router (~3.6B active params per token) to deliver up to 4× higher throughput than Nemotron 2 and strong accuracy across math, coding, and tools. It supports a 1M‑token context window, offers Reasoning ON/OFF and a thinking‑budget to control costs, and ships with open weights, data, and RL tooling (NeMo Gym/RL). Released Dec 15, 2025 under the NVIDIA Open Model License, it’s built as the efficient backbone for multi‑agent systems at scale.

Fecha de lanzamiento
2025-12-15
Parámetros
32.0B
Longitud del contexto
131K
Modalidades
text

Radar de capacidades

22
general
33
coding
18
reasoning
27
science
50
agents
0
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica114
36.0
LS
Ranking de codificación408
22.0
AA
Ranking general436
29.0
AA
Ciencia466
26.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

Terminal-Bench8.5%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)75.0%Aut.
SciCode33.3%Aut.

Code

SWE-Bench Verified38.8%Aut.

Communication

Tau2 Retail56.9%Aut.
Tau2 Airline48.0%Aut.
Tau2 Telecom42.2%Aut.
Multi-Challenge38.5%Aut.

Creativity

Arena-Hard v267.7%Aut.

Finance

MMLU-Pro78.3%Aut.
MMLU-ProX59.5%Aut.

General

LiveCodeBench v668.3%Aut.

Language

WMT24++86.2%Aut.

Math

AIME 202599.2%Aut.
Humanity's Last Exam15.5%Aut.

Índices de evaluación AA

(Artificial Analysis)
Math Index(Artificial Analysis)
13.3
Intelligence Index(Artificial Analysis)
7.2
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.6
Gpqa(NYU + Cohere + Anthropic (2023))
0.4
Ifbench(Google Research (2023))
0.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.3
Scicode(UIUC + Argonne National Lab (2024))
0.2
Aime 25(MAA (Mathematical Association of America))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Lcr(Artificial Analysis)
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Legal
70
Language
70
Finance
70
Healthcare
70
Creativity
70
Writing
70
Math
60
Physics
50
Reasoning
50
General
50
Biology
50
Chemistry
50
Communication
50
Tool Calling
50
Frontend Development
40
Code
30
Vision
20
Agents
10

Precios

Precio de entrada$0.05 / 1M tokens
Precio de salida$0.2 / 1M tokens
Precio mixto (3:1)$0.088 / 1M tokens

Velocidad

Tokens/seg202.9
Retraso del primer token0.39s
Tiempo hasta la respuesta0.39s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

8 proveedores

Más barato: DeepInfraMás caro: NanoGPT
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2NVIDIAPRINCIPAL
$0.05
$0.2
3OpenRouter
$0.05
$0.2
4Kilo Gateway
$0.05
$0.2
5Vercel AI Gateway
$0.05
$0.24
6Cortecs
$0.06
$0.24
7Venice AI
$0.075
$0.3
8NanoGPT
$0.17
$0.68

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas