K-EXAONE Models by LG Research
1 model2025Up to 256k ctx
About
LG AI Research's K-EXAONE series of open-source Mixture-of-Experts large language models. K-EXAONE uses a fine-grained MoE architecture and achieved first place in 10 of 13 benchmarks under South Korea's national AI foundation model project. The series supports multilingual use including Korean, English, Spanish, German, Japanese, and Vietnamese.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
1 in view
K-EXAONE 236B-A23BCurrent
Use when the workload needs 256k context and 236B parameters.
2025-12256k context236B parameters
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| K-EXAONE 236B-A23B | Use when the workload needs 256k context and 236B parameters. | 2025-12 | 256k context236B parameters | Current |
Release Timeline
1 release group2025-12
1 current
K-EXAONE 236B-A23B
Current256k context236B parameters
Specifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| K-EXAONE 236B-A23B | 2025-12 | 256k | 236B |
Frequently Asked Questions
- What is K-EXAONE used for?
- LG AI Research's K-EXAONE series of open-source Mixture-of-Experts large language models.
- How does K-EXAONE compare to Claude 3?
- K-EXAONE by LG Research is strongest where you need its listed use cases, while Claude 3 by Anthropic is the closest related family to check for vision and multimodal work. K-EXAONE has 1 listed variant and reaches up to 256k context, while Claude 3 reaches up to 200k context, so compare the specs and pricing tables before choosing a production model.
- Which K-EXAONE model should I use?
- If price is the main constraint, use the pricing table first because K-EXAONE does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate K-EXAONE 236B-A23B with 256k context.