OpenVLM Video - MVBench - Moving Attribute: leaderboard

MVBench Moving Attribute accuracy from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): one of MVBench's 20 temporal tasks, 200 multiple-choice questions on attributes of moving objects. Accuracy in percent, higher is better.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 37 models tracked.

Top models

#ModelScoreOverall rank
1InternVL3-78B98.5#361
2InternVL3-8B98#624
3Qwen2.5-Omni-7B98#633
4InternVL3-38B97.5#413
5InternVL2.5-78B97.5#434
6InternVL2-8B97#813
7Qwen 2 VL 72B96.5#450
8Qwen 2.5 VL 7B92#641
9Qwen 2 VL 7B91#743
10Phi-4 Multimodal Instruct58.5#922
11Gemini 2.0 Flash56.5#351
12Gemini 1.5 Flash55#620
13MiniCPM-V-2.654#827
14Claude 3.5 Sonnet45.5#362

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=openvlm-video-mvbench-moving-attribute · How It Works · Data refreshed daily, snapshot 2026-11-05.