VSTAT: leaderboard

VSTAT (Visual State Tracking benchmark, 2026) asks multimodal models 1,500 questions about 834 synthetic and real-world video clips that can only be answered by tracking a visual state through the whole video. The score (%) averages multiple-choice accuracy and mean relative accuracy on numerical answers over all questions; higher is better.

Metric: Average score (%) over all questions: 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 2030. 23 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview) (Low)44.4#94 (Gemini 3.1 Pro (Preview))
2Gemini 3.1 Pro (Preview) (High)43.9#94 (Gemini 3.1 Pro (Preview))
3Gemini 3 Flash (Low)39.8#164 (Gemini 3 Flash)
4Gemini 3 Flash (High)38.8#164 (Gemini 3 Flash)
5Molmo2-8B34#1483
6Qwen 3 VL 8B Instruct33.2#981
7Qwen 3 VL 4B Instruct31.3#1279
8GLM-4.1V-9B (Thinking)30.2#1060 (GLM-4.1V-9B)
9Qwen 3 VL 8B (Thinking)28.2#887
10Qwen 3 VL 4B (Thinking)26#1296

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=vstat · How It Works · Data refreshed daily, snapshot 2026-11-13.