Swallow - Post-trained Japanese - MMLU-ProX: leaderboard
Metric: Accuracy (%). Source: swallow-llm.github.io. 68 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 (Medium) | 85.2 |
| 2 | GPT-5 (Medium) | 84.9 |
| 3 | Qwen 3.5 122B A10B (Thinking) | 84.1 |
| 4 | Gemma 4 31B (IT) (Thinking) | 84.1 |
| 5 | Qwen 3.5 27B (Thinking) | 83.5 |
| 6 | O3 (2025-04-16) (Medium) | 83.5 |
| 7 | Qwen 3.5 35B A3B (Thinking) | 82.9 |
| 8 | Qwen 3 235B A22B 2507 (Thinking) | 81.9 |
| 9 | gemma-4-26B-A4B-it (Thinking) | 81.8 |
| 10 | GPT-5 Mini (Medium) | 80.5 |
| 11 | Qwen 3 235B A22B 2507 Instruct | 79.9 |
| 12 | Qwen 3 Next 80B A3B (Thinking) | 79.7 |
| 13 | Qwen 3.5 9B (Thinking) | 78.4 |
| 14 | GPT-OSS-Swallow-120B-RL-v0.1 (Thinking) | 77.6 |
| 15 | GPT-4.1 | 77.2 |
Interactive version: theaggregate.ai/benchmark?slug=swallow-post-trained-japanese-mmlu-prox · How It Works · Data refreshed daily, snapshot 2026-09-19.