Swallow - Japanese MT-Bench - Extraction: leaderboard
Metric: Judge Score (normalized, %). Source: swallow-llm.github.io. 68 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 (Medium) | 78.7 |
| 2 | GPT-4o (2024-08-06) | 77.6 |
| 3 | O3 Mini (Medium) | 77.4 |
| 4 | gemma-4-26B-A4B-it (Thinking) | 77.2 |
| 5 | GPT-5 Mini (Medium) | 77 |
| 6 | Qwen 3 32B (Thinking) | 76.5 |
| 7 | Gemma 3 27B (IT) | 76.4 |
| 8 | O3 (2025-04-16) (Medium) | 76.4 |
| 9 | GPT-OSS-Swallow-120B-RL-v0.1 (Thinking) | 76.3 |
| 10 | GPT-5 (Medium) | 75.8 |
| 11 | GPT-4.1 | 75.7 |
| 12 | Gemma 4 31B (IT) (Thinking) | 75.7 |
| 13 | llm-jp-4-32B-a3B (Thinking) | 75 |
| 14 | GPT-OSS-20B (Medium) | 74.9 |
| 15 | Qwen 3.5 27B (Thinking) | 74.8 |
Interactive version: theaggregate.ai/benchmark?slug=swallow-japanese-mt-bench-extraction · How It Works · Data refreshed daily, snapshot 2026-09-19.