LG AI Research has released K-EXAONE 2.0, a 750B parameter model developed under Phase 2 of Korea's Sovereign AI Foundation Model Project.

  • Size: 750B parameters (3x larger than their 236B v1 model). License: Apache 2.0
  • Languages: Expanded to 10 languages (Korean, English, French, Italian, Portuguese, Polish, Spanish, German, Japanese, Vietnamese).
  • Benchmark Highlights (per their report):
  • Long Context: 94.4 on OpenAI-MRCR and 89.6 on Ko-LongBench (outperforming GLM-5.1).
  • Agentic Tool Use: 14.2 on Tau3-Bench Banking (ahead of Qwen 3.5 at 13.4 and GLM-5.1 at 11.5).
  • Coding: Average 30% performance increase across core coding metrics compared to v1.
  • Safety / Alignment: 94.6 average on ROK-Fortress and KGC-Safety.