Swallow - Post-trained English - MMLU-Pro: leaderboard
Metric: Accuracy (%). Source: swallow-llm.github.io. 68 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 (Medium) | 87.5 |
| 2 | Qwen 3.5 122B A10B (Thinking) | 87 |
| 3 | Gemma 4 31B (IT) (Thinking) | 86.9 |
| 4 | Qwen 3.5 27B (Thinking) | 86.8 |
| 5 | GPT-5 (Medium) | 86.5 |
| 6 | Qwen 3.5 35B A3B (Thinking) | 85.7 |
| 7 | O3 (2025-04-16) (Medium) | 85.7 |
| 8 | Qwen 3 235B A22B 2507 (Thinking) | 84.7 |
| 9 | gemma-4-26B-A4B-it (Thinking) | 84.7 |
| 10 | Qwen 3 Next 80B A3B (Thinking) | 82.7 |
| 11 | Qwen 3.5 9B (Thinking) | 82.6 |
| 12 | Qwen 3 Next 80B A3B Instruct | 82.4 |
| 13 | Qwen 3 235B A22B 2507 Instruct | 82.4 |
| 14 | GPT-5 Mini (Medium) | 82.2 |
| 15 | GPT-4.1 | 81.3 |
Interactive version: theaggregate.ai/benchmark?slug=swallow-post-trained-english-mmlu-pro · How It Works · Data refreshed daily, snapshot 2026-09-19.