K-EXAONE 2.0
K-EXAONE 2.0
Korea's largest published model, and a serious piece of national AI infrastructure.
Updated
The read
LG released K-EXAONE 2.0 at the end of July at a scale no Korean lab had published before: 750 billion parameters with 37 billion active, under Apache 2.0, on Hugging Face. It is strongest in Korean, where it is the reference open model, and respectable in English. It is still new, the tooling around it is immature, and running something this size is a datacentre decision rather than a workstation one.
Where it shines
- The reference open model for Korean
- Published openly despite its scale
- Backed by a company that will keep maintaining it
Worth knowing first
- Very new, so the surrounding tooling is immature
- Serving it needs a datacentre, not a workstation
Index score
77.8
Provisional. This score is read from the product's public capability, not from the one-prompt rebuild the fully reviewed entries went through, so treat it as a placing rather than a verdict.
- Rank
- 53 of 73
- Builds
- LLMs
- Category
- Open weights
- Output
- Published weights at national scale
- Pricing
- Free tier
- Best for
- Korean-language work on weights you can hold
Scores are our own editorial judgement, weighted craft 55, speed 10, control 15 and value 20.
Also worth a look
Full index- 05GLM-5.3 FlashGLM-5.3 FlashProvisionalA fast, MIT-licensed open model that human voters rank beside the big flagships.Open weightsFree tier89.6
- 06Xiaomi MiMo V2.6 ProMiMo V2.6 ProProvisionalThe strongest large open-weights model on the independent index, under MIT, for under a dollar out.Open weightsFree tier89.4
- 07DeepSeek V4.1 FlashDeepSeek V4.1 FlashProvisionalFrontier-adjacent answers for thirty cents per million input tokens, with the weights under MIT.Open weightsFree tier88.3
