OpenVLM Video - Video-MME (w/o subs) - Object Reasoning: leaderboard

Video-MME Object Reasoning accuracy without subtitles, from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): the four-option multiple-choice questions of this task type, pooled over short, medium and long videos. One of 12 Video-MME task types; accuracy in percent, higher is better.

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

Top models

#ModelScoreOverall rank
1InternVL3-78B71.1#361
2InternVL2.5-78B70.9#434
3InternVL3-38B69.6#413
4Gemini 2.0 Flash68.1#351
5Qwen 2 VL 72B67.8#450
6InternVL3-8B63.2#624
7Qwen2.5-Omni-7B63#633
8Gemini 1.5 Flash59.7#620
9Qwen 2.5 VL 7B58.6#641
10Qwen 2 VL 7B57.9#743
11MiniCPM-V-2.657#827
12InternVL2-8B52.2#813
13Claude 3.5 Sonnet47.4#362
14Phi-4 Multimodal Instruct42.1#922

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-video-mme-w-o-subs-object-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-05.