K-EXAONE Technical Report
It provides a proprietary AI foundation model for industrial and research applications, but is incremental as it builds on existing large-scale multilingual models.
The paper introduces K-EXAONE, a large-scale multilingual language model with 236B parameters, achieving performance comparable to similar open-weight models across reasoning, agentic, general, Korean, and multilingual benchmarks.
This technical report presents K-EXAONE, a large-scale multilingual language model developed by LG AI Research. K-EXAONE is built on a Mixture-of-Experts architecture with 236B total parameters, activating 23B parameters during inference. It supports a 256K-token context window and covers six languages: Korean, English, Spanish, German, Japanese, and Vietnamese. We evaluate K-EXAONE on a comprehensive benchmark suite spanning reasoning, agentic, general, Korean, and multilingual abilities. Across these evaluations, K-EXAONE demonstrates performance comparable to open-weight models of similar size. K-EXAONE, designed to advance AI for a better life, is positioned as a powerful proprietary AI foundation model for a wide range of industrial and research applications.