Swallow - Pre-trained English - XWINO: leaderboard
Metric: Accuracy (%). Source: swallow-llm.github.io. 50 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | gemma-3-27B-pt | 92.3 |
| 2 | Gemma 2 27B | 92.1 |
| 3 | Llama 3.1 70B | 92 |
| 4 | gemma-3-12B-pt | 91.7 |
| 5 | sarashina2-70B | 91.7 |
| 6 | Qwen 2.5 32B | 91.3 |
| 7 | Llama 3.1 8B | 90.7 |
| 8 | Gemma 2 9B | 90.7 |
| 9 | Qwen3-8B-Base | 90.3 |
| 10 | llm-jp-3-13B | 90.2 |
| 11 | Qwen 2.5 72B | 90.1 |
| 12 | Falcon3-10B-Base | 90.1 |
| 13 | Qwen3-14B-Base | 90.1 |
| 14 | Qwen3-30B-A3B-Base | 90.1 |
| 15 | Qwen 2.5 14B | 89.9 |
Interactive version: theaggregate.ai/benchmark?slug=swallow-pre-trained-english-xwino · How It Works · Data refreshed daily, snapshot 2026-09-19.