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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.

发布日期
2025-12-31
参数规模
236.0B
上下文长度
支持模态
text

能力雷达图

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

排行榜排名

领域#排名分数来源
智能体能力模型榜80
43.0
LS
代码能力榜189
54.0
AA
通用能力榜139
62.0
AA
科学能力190
55.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench73.2%自报

Finance

MMLU-Pro83.8%自报

General

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

Math

AIME 202592.8%自报

AA 评测指数

(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 分类评分

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

定价

输入价格免费
输出价格免费
混合价格(3:1)免费

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

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外部链接