Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
NVIDIALlama開源權重Llama 3.1 Community License
描述
A 253B parameter derivative of Meta Llama 3.1 405B Instruct, developed by NVIDIA using Neural Architecture Search (NAS) and vertical compression. It underwent multi-phase post-training (SFT for Math, Code, Reasoning, Chat, Tool Calling; RL with GRPO) to enhance reasoning and instruction-following. Optimized for accuracy/efficiency tradeoff on NVIDIA GPUs. Supports 128k context.
發布日期
2025-04-07
參數規模
253.0B
上下文長度
128K
支援模態
text
能力雷達圖
31
general
58
coding
72
reasoning
46
science
70
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
76.0%自報
Code
LiveCodeBench
66.3%自報
General
IFEvalGoogle Research (2023)
89.5%自報
BFCL v2
74.1%自報
Math
MATH-500
97.0%自報
AIME 2025
72.5%自報
AA 評測指數
(Artificial Analysis)Math Index(Artificial Analysis)63.7
Intelligence Index(Artificial Analysis)8.9
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))1.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Aime(MAA (Mathematical Association of America))0.7
Gpqa(NYU + Cohere + Anthropic (2023))0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.6
Aime 25(MAA (Mathematical Association of America))0.6
Ifbench(Google Research (2023))0.4
Scicode(UIUC + Argonne National Lab (2024))0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))0.1
Lcr(Artificial Analysis)0.1
Hle(Center for AI Safety + Scale AI (2025))0.1
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
LLM Stats 分類評分
(LLM Stats (zeroeval))Instruction Following90
Structured Output90
Math80
Physics80
Reasoning80
General80
Biology80
Chemistry80
Code70
Tool Calling70
定價
輸入價格$0.6 / 1M tokens
輸出價格$1.8 / 1M tokens
混合價格(3:1)$0.9 / 1M tokens
速度
Tokens/秒53.1
首Token延遲0.70s
首回答延遲38.37s
供應商價格排行
供應商價格排行
1 個供應商
供應商輸入輸出
1NVIDIA主要
$0.6
$1.8
比較該模型在不同 API 供應商之間的定價。