Korean LLM Eval - KoBALT-700: leaderboard
Metric: Accuracy (%, 0-shot). Source: github.com. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 5 (Medium) | 88.14 |
| 2 | GPT-5.6 Sol (Medium) | 84.29 |
| 3 | GPT-5.6 Luna (Medium) | 77 |
| 4 | GPT-5.6 Terra (Medium) | 76.57 |
| 5 | Claude Sonnet 5 (Medium) | 76.14 |
| 6 | DeepSeek V4 Flash (0731) (Max) | 73.43 |
| 7 | DeepSeek V4 Flash (0731) (High) | 73.29 |
| 8 | DeepSeek V4 Flash (0731) (Non-reasoning) | 48.86 |
Interactive version: theaggregate.ai/benchmark?slug=korean-llm-eval-kobalt-700 · How It Works · Data refreshed daily, snapshot 2026-09-22.