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
36
coding
18
reasoning
29
science
50
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 489 | 23.0 | AA |
| Ranking general | 503 | 28.0 | AA |
| Ciencia | 564 | 21.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Chat
Tau2 Airline
48.0%Aut.
Multi-Challenge
38.5%Aut.
Communication
Tau2 Retail
56.9%Aut.
Tau2 Telecom
42.2%Aut.
General
Arena-Hard v2
67.7%Aut.
Language
WMT24++
86.2%Aut.
MMLU-Pro
78.3%Aut.
MMLU-ProX
59.5%Aut.
Math
AIME 2025
99.2%Aut.
Reasoning
GPQANYU + Cohere + Anthropic (2023)
75.0%Aut.
LiveCodeBench v6
68.3%Aut.
SWE-Bench Verified
38.8%Aut.
SciCode
33.3%Aut.
Humanity's Last Exam
15.5%Aut.
Terminal-Bench
8.5%Aut.
Índices de evaluación AA
(Artificial Analysis)Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))57.9
Gpqa(NYU + Cohere + Anthropic (2023))39.9
Ifbench(Google Research (2023))37.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))36.0
Tau2(Sierra + U Toronto + Vector Institute (2025))25.4
Aime 25(MAA (Mathematical Association of America))13.3
Math Index(Artificial Analysis)13.3
Terminalbench Hard(Stanford × Laude Institute (2026))12.1
Lcr(Artificial Analysis)10.7
Intelligence Index(Artificial Analysis)6.8
Hle(Center for AI Safety + Scale AI (2025))4.6
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Language70
Legal70
Finance70
Healthcare70
Creativity70
Writing70
Math60
Physics50
Reasoning50
General50
Biology50
Chemistry50
Communication50
Tool Calling50
Chat40
Frontend Development40
Code30
Vision20
Agents10
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/seg220.8
Retraso del primer token0.38s
Tiempo hasta la respuesta0.38s
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
$0.2
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.