KOR-Bench: leaderboard
Metric: Accuracy (%; zero-shot, 1,250 questions). Source: arxiv.org. Saturation forecast: Estimated already saturated. 38 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O1 Preview (2024-09-12) | 72.88 |
| 2 | O1 Mini (2024-09-12) | 70.16 |
| 3 | Claude 3.5 Sonnet (20240620) | 58.96 |
| 4 | GPT-4o (2024-05-13) | 58 |
| 5 | Llama 3.1 405B Instruct | 55.36 |
| 6 | Qwen 2.5 32B Instruct | 54.72 |
| 7 | GPT-4 Turbo | 53.52 |
| 8 | Mistral Large 2 (Jul) | 53.12 |
| 9 | Qwen 2.5 72B Instruct | 52.16 |
| 10 | Llama 3.1 70B Instruct | 50 |
| 11 | Yi Large | 50 |
| 12 | Qwen 2.5 14B Instruct | 49.36 |
| 13 | Llama 3 70B Instruct | 49.2 |
| 14 | DeepSeek V2.5 | 47.76 |
| 15 | Qwen 2 72B Instruct | 47.04 |
Interactive version: theaggregate.ai/benchmark?slug=kor-bench · How It Works · Data refreshed daily, snapshot 2026-09-24.