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NVIDIA Nemotron Nano 9B V2 (Non-reasoning)

NVIDIA오픈 웨이트NVIDIA Open Model License Agreement · 상업적 사용 가능

설명

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so, albeit with a slight decrease in accuracy for harder prompts that require reasoning. Conversely, allowing the model to generate reasoning traces first generally results in higher-quality final solutions to queries and tasks.

출시일
2025-08-18
파라미터
8.9B
컨텍스트 길이
131K
모달리티
text

능력 레이더

27
general
59
coding
61
reasoning
33
science
60
agents
0
multimodal

랭킹

도메인#순위점수소스
코딩 랭킹311
36.0
AA
종합 랭킹434
29.0
AA
과학414
32.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)64.0%자체 보고

Code

LiveCodeBench71.1%자체 보고

General

IFEvalGoogle Research (2023)90.3%자체 보고
BFCL_v3_MultiTurn66.9%자체 보고

Math

MATH-50097.8%자체 보고
AIME 202572.1%자체 보고

AA 평가 지수

(Artificial Analysis)
Math Index(Artificial Analysis)
62.3
Intelligence Index(Artificial Analysis)
7.2
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.7
Aime 25(MAA (Mathematical Association of America))
0.6
Gpqa(NYU + Cohere + Anthropic (2023))
0.6
Ifbench(Google Research (2023))
0.3
Lcr(Artificial Analysis)
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Scicode(UIUC + Argonne National Lab (2024))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Structured Output
90
Instruction Following
90
Math
80
Reasoning
80
General
80
Code
70
Physics
60
Biology
60
Chemistry
60

가격

입력 가격$0.05 / 1M 토큰
출력 가격$0.195 / 1M 토큰
혼합 가격 (3:1)$0.086 / 1M 토큰

속도

토큰/초166.7
첫 토큰 지연1.33s
첫 응답 지연1.33s

공급자 가격 순위

공급자 가격 순위

1개 공급자

공급자입력출력
1NVIDIA주요
$0.05
$0.195

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