GEB-Bench - Scene Identification: leaderboard
Metric: Accuracy (%; 25-way, chance 4%). Source: arxiv.org. 27 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 80.5 |
| 2 | GPT-5.5 | 77.1 |
| 3 | Kimi K2.5 | 74.8 |
| 4 | Gemma 4 31B | 72.4 |
| 5 | GPT-5.2 | 71 |
| 6 | Claude Opus 4.8 | 63.8 |
| 7 | GLM-4.6V | 60.5 |
| 8 | Llama 4 Scout | 47.6 |
| 9 | Kimi-VL-A3B | 42.9 |
| 10 | InternVL3-8B | 41 |
| 11 | Qwen 3 VL 4B | 39 |
| 12 | ERNIE 4.5 VL 28B A3B | 30.5 |
| 13 | Pixtral-12B | 29.5 |
| 14 | Qwen 2 VL 7B | 28.1 |
Interactive version: theaggregate.ai/benchmark?slug=geb-bench-scene-identification · How It Works · Data refreshed daily, snapshot 2026-09-19.