KOR-Bench - Base Models (3-shot): leaderboard
Metric: Accuracy (%; three-shot, 1,250 questions). Source: arxiv.org. Saturation forecast: Estimated already saturated. 24 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 3.1 405B | 39.68 |
| 2 | Qwen 2.5 72B | 37.28 |
| 3 | Qwen 2.5 32B | 37.28 |
| 4 | Llama 3 70B | 35.2 |
| 5 | Qwen 2 72B | 34.32 |
| 6 | Llama 3.1 70B | 33.84 |
| 7 | Gemma 2 27B | 33.36 |
| 8 | Qwen 2.5 14B | 33.28 |
| 9 | Yi 1.5 34B | 30.08 |
| 10 | Yi-1.5-9B | 29.2 |
| 11 | Qwen 2.5 7B | 28.8 |
| 12 | Qwen 2 7B | 27.44 |
| 13 | Llama 3.1 8B | 26 |
| 14 | Gemma 2 9B | 25.52 |
| 15 | Llama 3 8B | 24.96 |
Interactive version: theaggregate.ai/benchmark?slug=kor-bench-base-models-3-shot · How It Works · Data refreshed daily, snapshot 2026-09-24.