GEB-Bench - Average (Vision Models): leaderboard
Metric: Macro-average accuracy over all eight tasks (%). Source: arxiv.org. 27 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 | 82.4 |
| 2 | Gemini 3.1 Pro (Preview) | 82.1 |
| 3 | GPT-5.2 | 76.9 |
| 4 | Kimi K2.5 | 76.9 |
| 5 | Gemma 4 31B | 72.1 |
| 6 | Claude Opus 4.8 | 69.8 |
| 7 | GLM-4.6V | 63 |
| 8 | Llama 4 Scout | 53.7 |
| 9 | Qwen 3 VL 4B | 46.5 |
| 10 | InternVL3-8B | 45.5 |
| 11 | Kimi-VL-A3B | 43.8 |
| 12 | Qwen 2 VL 7B | 36.2 |
| 13 | ERNIE 4.5 VL 28B A3B | 35.6 |
| 14 | Pixtral-12B | 34.2 |
Interactive version: theaggregate.ai/benchmark?slug=geb-bench-average-vision-models · How It Works · Data refreshed daily, snapshot 2026-09-19.