OpenVLM Video - MLVU - Ego Reasoning: leaderboard

MLVU Ego Reasoning accuracy from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): multiple-choice questions on long videos (3 minutes to 2 hours) about first-person videos. One of the seven MLVU multiple-choice tasks; accuracy in percent, higher is better.

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

Top models

#ModelScoreOverall rank
1InternVL3-78B69#361
2InternVL3-38B66.8#413
3Gemini 2.0 Flash65.1#351
4InternVL2.5-78B64.2#434
5Qwen 2 VL 72B63.9#450
6InternVL3-8B63.1#624
7Qwen 2 VL 7B58.5#743
8Qwen 2.5 VL 7B57.1#641
9Qwen2.5-Omni-7B56#633
10InternVL2-8B53.7#813
11Gemini 1.5 Flash49.7#620
12MiniCPM-V-2.647.2#827
13Phi-4 Multimodal Instruct45.2#922
14Claude 3.5 Sonnet16.8#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-mlvu-ego-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-05.