GEB-Bench - Skeleton Identification: leaderboard
Metric: Accuracy (%; 25-way, chance 4%). Source: arxiv.org. 27 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 85.7 |
| 2 | Gemma 4 31B | 81.6 |
| 3 | GPT-5.5 | 79.6 |
| 4 | GPT-5.2 | 79.6 |
| 5 | Claude Opus 4.8 | 75.5 |
| 6 | Kimi K2.5 | 73.5 |
| 7 | GLM-4.6V | 71.4 |
| 8 | Llama 4 Scout | 67.3 |
| 9 | Qwen 3 VL 4B | 59.2 |
| 10 | ERNIE 4.5 VL 28B A3B | 46.9 |
| 11 | Pixtral-12B | 44.9 |
| 12 | Kimi-VL-A3B | 44.9 |
| 13 | InternVL3-8B | 42.9 |
| 14 | Qwen 2 VL 7B | 36.7 |
Interactive version: theaggregate.ai/benchmark?slug=geb-bench-skeleton-identification · How It Works · Data refreshed daily, snapshot 2026-09-19.