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LG AI Research Open-Sources K-EXAONE 2.0: Korea's Largest AI Model at 750B Parameters

Summary: LG AI Research released K-EXAONE 2.0 on July 31 — a 750B-total, 37B-active-parameter hybrid-attention Mixture-of-Experts model available on Hugging Face under the permissive Apache 2.0 license.

Key facts

  • Architecture: hybrid-attention MoE with 750B total / 37B active parameters per token, enabling frontier-scale reasoning at a fraction of the inference cost of dense models.
  • Supports 10 languages including Korean, English, Japanese, Chinese, Spanish, and German, with a 262,144-token context window.
  • Released under Apache 2.0 — commercial use permitted, weights freely downloadable from Hugging Face.
  • Average benchmark score improved from 63.3 to 70.1, a gain of more than 10% over its predecessor.

Why it matters

K-EXAONE 2.0 is South Korea's clearest demonstration yet that a domestic lab can independently build and open-source a frontier-class model. Arriving two days after another 700B-scale open release, it signals that non-US players are accelerating in the race for sovereign AI capability. The Apache 2.0 license makes it immediately usable for commercial products, broadening the base model options for Korean AI startups and enterprises.

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How this story unfolded

  1. Thinking Machines Releases Inkling, Its First Open-Weight Model, Nine Months After Founding
  2. NVIDIA Open-Sources Nemotron 3 Ultra 550B — Top US Open-Weights Model with 1M-Token Context and Commercial License
  3. Alibaba's Qwen3-Coder-Next: 80B-Param MoE Coding Model With Only 3B Active — Scores 70.6% on SWE-Bench
  4. DeepSeek V4 Pro: 1.6T Open MoE Model Hits 80.6% SWE-bench at One-Tenth GPT-5.5's Price
LLM
— Large Language Model의 약자로, '거대 언어 모델'이라고 해요. ChatGPT, Claude 같은 AI가 바로 LLM이에요. 엄청나게 많은 텍스트를 학습해서 사람처럼 글을 쓰고 대화할 수 있어요.

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