VSTAT - Dictionary: leaderboard
Metric: Score (%) on questions about dictionary (entity-to-value) state structures: 1,500 questions on 834 synthetic (Blender) and real-world video clips that require tracking a visual state through the whole video; accuracy on multiple-choice questions and mean relative accuracy on numerical questions (%), open models at their best of 16 to 128 uniformly sampled frames; higher is better. Source: arxiv.org. Saturation forecast: Around 2034. 23 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) (High) | 39.3 |
| 2 | Gemini 3.1 Pro (Preview) (Low) | 38.7 |
| 3 | Gemini 3 Flash (High) | 32.4 |
| 4 | Qwen 3 VL 8B Instruct | 31.5 |
| 5 | InternVL3.5-8B | 28.3 |
| 6 | Qwen 3 VL 8B (Thinking) | 28 |
| 7 | GLM-4.1V-9B (Thinking) | 27.3 |
| 8 | Molmo2-8B | 27 |
| 9 | Qwen 3 VL 4B Instruct | 25.8 |
| 10 | Qwen 3 VL 4B (Thinking) | 21.4 |
Interactive version: theaggregate.ai/benchmark?slug=vstat-dictionary · How It Works · Data refreshed daily, snapshot 2026-09-29.