KOR-Bench - Operation: leaderboard
Metric: Accuracy (%; zero-shot, 250 questions). Source: arxiv.org. Saturation forecast: Estimated already saturated. 38 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2.5 32B Instruct | 93.2 |
| 2 | GPT-4 Turbo | 90.4 |
| 3 | O1 Preview (2024-09-12) | 88.8 |
| 4 | Claude 3.5 Sonnet (20240620) | 88.4 |
| 5 | Llama 3.1 405B Instruct | 87.82 |
| 6 | Mistral Large 2 (Jul) | 86.8 |
| 7 | GPT-4o (2024-05-13) | 86 |
| 8 | Llama 3.1 70B Instruct | 84.8 |
| 9 | Qwen 2.5 14B Instruct | 84.4 |
| 10 | Yi Large | 84 |
| 11 | Qwen 2.5 72B Instruct | 83.6 |
| 12 | O1 Mini (2024-09-12) | 82.8 |
| 13 | Llama 3 70B Instruct | 82.4 |
| 14 | Gemini 1.5 Pro | 81.6 |
| 15 | Yi 1.5 34B Chat | 79.6 |
Interactive version: theaggregate.ai/benchmark?slug=kor-bench-operation · How It Works · Data refreshed daily, snapshot 2026-09-24.