Swallow - Post-trained Japanese - JamC-QA: leaderboard
Metric: Accuracy (%). Source: swallow-llm.github.io. 68 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 (Medium) | 89.1 |
| 2 | GPT-5 (Medium) | 85.8 |
| 3 | O3 (2025-04-16) (Medium) | 85.1 |
| 4 | GPT-4.1 | 79 |
| 5 | GPT-4o (2024-08-06) | 74.7 |
| 6 | GPT-5 Mini (Medium) | 70.1 |
| 7 | Gemma 4 31B (IT) (Thinking) | 68.6 |
| 8 | Qwen 3.5 122B A10B (Thinking) | 67.1 |
| 9 | gemma-4-26B-A4B-it (Thinking) | 64.7 |
| 10 | Qwen 3 235B A22B 2507 (Thinking) | 64.1 |
| 11 | Qwen 3 235B A22B 2507 Instruct | 63.6 |
| 12 | GPT-OSS-Swallow-120B-RL-v0.1 (Thinking) | 61.6 |
| 13 | Qwen 3 Next 80B A3B (Thinking) | 61.4 |
| 14 | Qwen 3.5 35B A3B (Thinking) | 61.1 |
| 15 | Qwen 3 Next 80B A3B Instruct | 59.9 |
Interactive version: theaggregate.ai/benchmark?slug=swallow-post-trained-japanese-jamc-qa · How It Works · Data refreshed daily, snapshot 2026-09-19.