Meet the power of the South Korea's LLM

South Korea is a key dealer in large languages (LLMs), Conducted by the Company Traffic, Open Source Reference to create Korean languages and local operations. This focus helps reduce the levies of foreign AI technology, it improves data privacy, and supports categories such as health care, education, and telephone communication.
Government-based pressure on the Governing AI
In 2025, the Department of Science and IT initiated a 240-million program, selecting Navitia Cloud, Sk telecom, NC AI-developing of the local infrastructure.
Development relating to food security guidelines and drugs to allow for producing medical guidelines produced, marking the first draft worldwide in the early 2025.
Companies and Educational Studies
The Sk Telecom is introduced with AX 3.1 Lite, a seven billion model is trained from starting 1,65 billion millions of multilingual emphasis on Korean. Access to 96% performance in KMMLU2 in consultation with Korean Language and 102% in clicking the Click3 with cultural discretion related to the largest models, and the open source of Mobabile Mobile Facery and Device is available.
The NAVER Advanced Syperclova Series With Hyperclova X Think About June 2025, To promote special Korean search and conversation skills.
UPSTAGE'S Solar Pro 2 puts on soles on Korea on the Board of the former LM Intelligence, which demonstrates efficiency in achieving the performance of larger major models.
LG AI study was presented by exiane 4.0 on July 2025, who executed in the global benches with a 30 parameter design.
The Seoul National Hospital has developed the first Korean llm, and records of 38 million clinics, 86 Johannesburg Johannesburg Quoices Training on the Korean medical license.
Mathprpro and Upstage worked on Math GPT, 13 billion of a small parameter llm passing GPT-4 in Mathematics Benches with 0.488 accuracy of 0.425, using low computer resources.
Open programs such as Polyglot-Ko (from 12,3 million parameters) and gecko-7B address addresses by continuing Korean datasets to carry copies in Core.
Technical Styles
Korean developers emphasize the performance of a well-efficient performance, urging the inspection of chinchillas to enable the 7 to 30 models to compete with heavy western sources.
The direct synchronization of the domain receives high results in the intended areas, as it appears in the medical llm from Seoul National University Hospital and Math GPT statistics.
Development measured in the jails including KMMLU2, click on Cultural Culture Compliance, as well as the Board of the LM leaders, guarantees compliance with international international programs.
Market idea
The South Korean market is exposed to expanded from 182,4 million in 2024 million in 2024 The integration of the Edge-Computing EDECOTS FirMs supported the reduction of the reduced latency and the developmental data protection under the Ai-AI infrastructure.
Large models of South Korea is spoken
| Obvious | Statue | Developer / leading center | The number of parameter | Noteworthy Focus |
|---|---|---|---|---|
| 1 | AX 3.1 Lite | SK TELECOM | Billion | Mobile and On-Device Cocessing |
| 2 | AX 4.0 Lite | SK TELECOM | 72 billion | Scaloble Solerip applications |
| + | Hyperclova x think | Reproduction | ~ 204 billion (St.) | Korean search and conversation |
| 4 | Solar pro 2 | Elastic | ~ 30 billion (St.) | Working well for world leaders |
| The knee is purchased | Matt GPT | MathPrEpResto + Upstage | 13 billion | Mathematics technology |
| 6 | Exaone 4.0 | LG Ai study | Billion Billion | Multimodal AI |
| And the bought the lurch + | Polyglot-ko | Eluterai + Kafai | 1.3 to 12,8 billion | Open Training of Korean Source – Only |
| 8 | Gecko-7b | The Beami community | Billion | Continuing to Be Likely to Korea |
| 9 | Snuh Medical llm | Seoul National Hospital | Unknown (~ 15B Est.) | Support for decisions and therapy |
This development emphasizes the South Korean method for creating active models, qualified to strengthen their position in the global brain.
Sources:
Michal Sutter is a Master of Science for Science in Data Science from the University of Padova. On the basis of a solid mathematical, machine-study, and data engineering, Excerels in transforming complex information from effective access.



