OpenVLM Video - MVBench - Action Count: leaderboard

MVBench Action Count accuracy from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): one of MVBench's 20 temporal tasks, 200 multiple-choice questions on how many times an action is performed. 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
2InternVL3-38B67#413
3InternVL3-8B57.5#624
4InternVL2.5-78B56#434
5Qwen 2 VL 72B53#450
6MiniCPM-V-2.648#827
7Gemini 1.5 Flash46.5#620
8Qwen 2 VL 7B45.5#743
9Qwen 2.5 VL 7B45.5#641
10Qwen2.5-Omni-7B44#633
11Gemini 2.0 Flash41#351
12InternVL2-8B39.5#813
13Phi-4 Multimodal Instruct37#922
14Claude 3.5 Sonnet18.5#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-action-count · How It Works · Data refreshed daily, snapshot 2026-11-05.