K-EXAONE 2.0 (750B-A37B)

active
Context window262K tokens

Version History

2.0major

K-EXAONE 2.0 scales up from its predecessor's 236B/23B parameter MoE architecture to 750B/37B parameters via upcycling, adding long-context retrieval strength, expanded multilingual coverage (6 to 10 languages), and improved safety benchmark performance.

Benchmark Scores

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83.5%
MMLU-Pro

Coverage

model release

LG AI Research Releases K-EXAONE 2.0, a 750B-Parameter Open-Weight MoE Model with 262K Context

LG AI Research has released K-EXAONE 2.0, a 750-billion-parameter mixture-of-experts language model with 37B active parameters, a 262,144-token context window, and support for 10 languages. The model is open-weighted under Apache 2.0 and claims competitive results against Qwen3.5, GLM-5.1, and DeepSeek-V4 Pro on reasoning, coding, and long-context benchmarks.

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