FrameBench - Japanese: leaderboard
Metric: Accuracy (%; mean of five prompt templates). Source: arxiv.org. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemma 4 31B (IT) (Thinking) | 99.1 |
| 2 | Gemma 4 31B (IT) (Non-reasoning) | 97.6 |
| 3 | Gemini 3.1 Pro (Preview) | 97.5 |
| 4 | Qwen 3.5 27B (Thinking) | 97.3 |
| 5 | GPT-5 | 96.3 |
| 6 | Qwen 3 32B (Thinking) | 93.9 |
| 7 | Gemma 4 E4B (IT) (Thinking) | 92.2 |
| 8 | Qwen 3.5 9B (Thinking) | 91.8 |
| 9 | Qwen 3.5 4B (Thinking) | 89.9 |
| 10 | Qwen 3 8B (Thinking) | 85 |
| 11 | Gemma 4 E4B (IT) (Non-reasoning) | 84.6 |
| 12 | llm-jp-4-8B (Thinking) | 84.5 |
| 13 | GPT-5 Nano | 83.9 |
| 14 | Qwen 3.5 27B (Non-reasoning) | 83.7 |
| 15 | Gemma 4 E2B (IT) (Thinking) | 82.3 |
Interactive version: theaggregate.ai/benchmark?slug=framebench-japanese · How It Works · Data refreshed daily, snapshot 2026-09-19.