★ 2026 buyer's guide
Choosing a Korean LLM in 2026 — the independent decision guide
Independent (zero vendor funding). Public benchmarks cross-checked; figures sourced, unverified ones omitted.
✦ TL;DR — by use case
- Best Korean LLM for customer support chatbotsSolar Pro 3 ↗
- Best Korean LLM for on-prem enterpriseA.X 4.0 ↗
- Best Korean LLM for document summarizationHyperCLOVA X (THINK) ↗
- Best Korean LLM for cost-sensitive useTrillion 7B ↗
- Best Korean LLM for coding assistanceSolar Pro 3 ↗
- Best Korean LLM for RAG / retrieval-augmentedHyperCLOVA X (THINK) ↗
- Best Korean LLM for finance / regulated workA.X 4.0 ↗
Models at a glance
| Model | Vendor | Params | License | Price | Key benchmark |
|---|---|---|---|---|---|
| Solar Pro 3 | Upstage | 102B MoE (활성 12B) | API | $0.15/$0.6 /1M | Frontier LM Intelligence 리더보드 등재 (유일 한국 모델) |
| HyperCLOVA X (THINK) | Naver | 비공개 (오픈웨이트 32B Think 별도 공개) | API | self-host / console | KoBALT-700 한국어 추론 상위 |
| EXAONE 4.0 32B | LG AI Research | 32B (경량 1.2B 변형 존재) | restricted | self-host / console | Artificial Analysis 지능지수 62 (32B 최고) |
| A.X 4.0 | SK Telecom | 72B / 7B Light | open / commercial OK | self-host / console | KMMLU 78.3 (GPT-4o 72.5 상회) |
| Trillion 7B | Trillion Labs | 7B | open / commercial OK | self-host / console | KOBEST 0.795 (한국어 벤치 최상위) |
| Claude | Anthropic | 비공개 | API | self-host / console | — |
| GPT | OpenAI | 비공개 | API | self-host / console | — |
| Gemini | 비공개 | API | self-host / console | — |
License & commercial use (the gate most teams miss)
Open weights with commercial rights (A.X 4.0) let you self-host and keep data on-prem. EXAONE 4.0 ships open weights but the license restricts commercial use — verify before adopting. The rest are API-only.
Cost — list price is not the real number
Korean token efficiency moves real cost more than headline per-token price. A.X reports ~33% better Korean token efficiency than GPT-4o; for high-volume Korean workloads a Korea-tuned model can beat a cheaper-looking global model.
AI Basic Act — model choice is a compliance artifact
Effective 2026-01-22, third-party LLM adopters carry impact-assessment and record duties. Documenting why you chose a model becomes citable evidence.
By use case
Balances Korean consistency and cost for high-volume support.
Commercial-capable open weights (Qwen License, MAU < 100M) + on-prem + Korean efficiency fit sovereignty needs.
Strong Korean long-form reasoning for domestic document summarization.
Lightweight open model minimizes self-host cost with solid Korean benchmarks.
Balanced reasoning/coding and cost fit Korean-spec coding assist.
Strong Korean retrieval/context aids accurate citation in domestic RAG.
Open-source on-prem keeps data sovereignty and supports AI-Act evidence.
Method & limits (honest)
This guide curates publicly published benchmarks and pricing, cross-checked and labeled by source, plus independent license/cost/regulation analysis. It is not a single self-run benchmark of every model. A paid diagnostic measures your own 20 prompts.