K-EXAONE-236B-A23B
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.
Benchmark results
| Benchmark | Score | Tags | Source |
|---|---|---|---|
| AIME 2025 | 92.8% | self-reported llm-stats | link → |
| IFBench | 67.3% | self-reported llm-stats | link → |
| LiveCodeBench v6 | 80.7% | self-reported llm-stats | link → |
| MMLU-Pro | 83.8% | self-reported llm-stats | link → |
| MMMLU | 85.7% | self-reported llm-stats | link → |
| t2-bench | 73.2% | self-reported llm-stats | link → |