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K-EXAONE (Reasoning)

LG AI ResearchProprietary

描述

K-EXAONE is a state-of-the-art large language model developed by LG AI Research with 236 billion parameters. It features advanced reasoning capabilities, strong performance in both Korean and English, and excels at complex tasks including mathematics, coding, and creative writing. The model uses A23B quantization for efficient inference while maintaining high quality outputs. K-EXAONE is designed for enterprise applications with robust instruction following and knowledge integration.

發布日期
2025-12-31
參數規模
236.0B
上下文長度
支援模態
text

能力雷達圖

40
general
48
coding
88
reasoning
50
science
70
agents
0
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜83
43.0
LS
程式碼能力榜195
54.0
AA
通用能力榜142
62.0
AA
科學能力204
54.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench73.2%自報

Finance

MMLU-Pro83.8%自報

General

MMMLU85.7%自報
LiveCodeBench v680.7%自報
IFBench67.3%自報

Math

AIME 202592.8%自報

AA 評測指數

(Artificial Analysis)
Math Index(Artificial Analysis)
90.3
Coding Index(Artificial Analysis)
32.1
Intelligence Index(Artificial Analysis)
22.5
Aime 25(MAA (Mathematical Association of America))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.8
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Ifbench(Google Research (2023))
0.6
Lcr(Artificial Analysis)
0.6
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench V2 1
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.1

LLM Stats 分類評分

(LLM Stats (zeroeval))
Math
90
Language
80
Legal
80
Reasoning
80
Finance
80
General
80
Healthcare
80
Instruction Following
70
Agents
70
Tool Calling
70

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速度

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