FrameBench - Frame Identification - Japanese: leaderboard
Metric: Accuracy (%; Japanese FrameNet candidate frames). Source: arxiv.org. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 78.3 |
| 2 | Gemma 4 E4B (IT) (Thinking) | 76.8 |
| 3 | GPT-5 Nano | 76.3 |
| 4 | llm-jp-4-8B (Thinking) | 75 |
| 5 | Gemma 4 31B (IT) (Thinking) | 73.8 |
| 6 | Gemma 4 E2B (IT) (Thinking) | 72.3 |
| 7 | Qwen 3.5 9B (Thinking) | 72 |
| 8 | Gemini 3.1 Pro (Preview) | 71.5 |
| 9 | Gemma 4 31B (IT) (Non-reasoning) | 71.5 |
| 10 | Qwen 3 32B (Thinking) | 71.3 |
| 11 | Qwen 3.5 4B (Thinking) | 71 |
| 12 | Qwen 3.5 27B (Thinking) | 70.8 |
| 13 | Qwen 3 8B (Thinking) | 69 |
| 14 | Gemma 4 E4B (IT) (Non-reasoning) | 68.5 |
| 15 | Gemma 4 E2B (IT) (Non-reasoning) | 67.8 |
Interactive version: theaggregate.ai/benchmark?slug=framebench-frame-identification-japanese · How It Works · Data refreshed daily, snapshot 2026-09-19.