K-EXAONE (Reasoning)
LG AI ResearchProprietary
Description
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.
Date de sortie
2025-12-31
Paramètres
236.0B
Longueur du contexte
—
Modalités
text
Radar de capacités
40
general
48
coding
88
reasoning
50
science
70
agents
0
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 84 | 43.0 | LS |
| Classement codage | 199 | 54.0 | AA |
| Classement général | 146 | 62.0 | AA |
| Science | 208 | 54.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
73.2%Aut.
Finance
MMLU-Pro
83.8%Aut.
General
MMMLU
85.7%Aut.
LiveCodeBench v6
80.7%Aut.
IFBench
67.3%Aut.
Math
AIME 2025
92.8%Aut.
Indices d'évaluation AA
(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 10.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Hle(Center for AI Safety + Scale AI (2025))0.1
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Math90
Legal80
Reasoning80
Language80
Finance80
General80
Healthcare80
Instruction Following70
Agents70
Tool Calling70
Tarification
Prix d'entréeGratuit
Prix de sortieGratuit
Prix mixte (3:1)Gratuit
Vitesse
Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s
Classement des Prix par Fournisseur
Aucune donnée de fournisseur disponible