FrameBench - Frame Identification - English: leaderboard
Metric: Accuracy (%; FrameNet candidate frames). Source: arxiv.org. 20 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 84 |
| 2 | Gemini 3.1 Pro (Preview) | 82.5 |
| 3 | Gemma 4 31B (IT) (Thinking) | 82 |
| 4 | Qwen 3.5 9B (Thinking) | 81.3 |
| 5 | Qwen 3.5 4B (Thinking) | 81 |
| 6 | Gemma 4 31B (IT) (Non-reasoning) | 81 |
| 7 | Qwen 3.5 27B (Thinking) | 80.8 |
| 8 | Gemma 4 E4B (IT) (Thinking) | 80.8 |
| 9 | GPT-5 Nano | 77.8 |
| 10 | Qwen 3.5 27B (Non-reasoning) | 74.8 |
| 11 | Gemma 4 E2B (IT) (Thinking) | 74.8 |
| 12 | Gemma 4 E2B (IT) (Non-reasoning) | 74 |
| 13 | Gemma 4 E4B (IT) (Non-reasoning) | 71.5 |
| 14 | Qwen 3.5 2B (Thinking) | 68 |
| 15 | Qwen 3.5 9B (Non-reasoning) | 64 |
Interactive version: theaggregate.ai/benchmark?slug=framebench-frame-identification-english · How It Works · Data refreshed daily, snapshot 2026-09-19.