Swallow - Pre-trained English - MMLU: leaderboard
Metric: Accuracy (%). Source: swallow-llm.github.io. 50 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2.5 72B | 86.1 |
| 2 | Qwen 2.5 32B | 83.2 |
| 3 | Qwen3-30B-A3B-Base | 81.2 |
| 4 | Qwen3-14B-Base | 80.6 |
| 5 | Qwen 2.5 14B | 79.7 |
| 6 | Llama 3.1 70B | 78.6 |
| 7 | Llama 4 Scout Base | 78 |
| 8 | gemma-3-27B-pt | 78 |
| 9 | Qwen3-8B-Base | 76.5 |
| 10 | Gemma 2 27B | 75.4 |
| 11 | Qwen 2.5 7B | 74.2 |
| 12 | gemma-3-12B-pt | 73.7 |
| 13 | Falcon3-10B-Base | 73.2 |
| 14 | Qwen3-4B-Base | 72.9 |
| 15 | Gemma 2 9B | 70.6 |
Interactive version: theaggregate.ai/benchmark?slug=swallow-pre-trained-english-mmlu · How It Works · Data refreshed daily, snapshot 2026-09-19.