Korean LLM Eval - MuSR (Ko): leaderboard
Metric: Accuracy (%, 0-shot). Source: github.com. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 5 (Medium) | 86.53 |
| 2 | GPT-5.6 Sol (Medium) | 85.31 |
| 3 | GPT-5.6 Terra (Medium) | 83.15 |
| 4 | DeepSeek V4 Flash (0731) (Max) | 82.4 |
| 5 | Claude Sonnet 5 (Medium) | 81.6 |
| 6 | DeepSeek V4 Flash (0731) (High) | 81.2 |
| 7 | GPT-5.6 Luna (Medium) | 71.47 |
| 8 | DeepSeek V4 Flash (0731) (Non-reasoning) | 57.33 |
Interactive version: theaggregate.ai/benchmark?slug=korean-llm-eval-musr-ko · How It Works · Data refreshed daily, snapshot 2026-09-22.