OpenVLM Video - MVBench - Object Shuffle: leaderboard

MVBench Object Shuffle accuracy from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): one of MVBench's 20 temporal tasks, 200 multiple-choice questions on where an object ends up after being moved around. Accuracy in percent, higher is better.

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

Top models

#ModelScoreOverall rank
1InternVL3-78B44#361
2InternVL3-38B42.5#413
3Phi-4 Multimodal Instruct41.5#922
4InternVL3-8B41#624
5Qwen 2 VL 7B39.5#743
6InternVL2.5-78B39.5#434
7Qwen2.5-Omni-7B39#633
8Qwen 2 VL 72B38#450
9Gemini 2.0 Flash37#351
10Qwen 2.5 VL 7B36#641
11MiniCPM-V-2.635.5#827
12Gemini 1.5 Flash35#620
13InternVL2-8B29.5#813
14Claude 3.5 Sonnet23#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-object-shuffle · How It Works · Data refreshed daily, snapshot 2026-11-05.