OpenVLM Video - MVBench - Counterfactual Inference: leaderboard

MVBench Counterfactual Inference accuracy from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): one of MVBench's 20 temporal tasks, 200 multiple-choice questions on what would happen under a hypothetical change. Accuracy in percent, higher is better.

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

Top models

#ModelScoreOverall rank
1InternVL3-78B85.5#361
2InternVL3-38B84.5#413
3InternVL2.5-78B82#434
4InternVL3-8B81.5#624
5Qwen 2 VL 72B76#450
6Qwen2.5-Omni-7B75.5#633
7Qwen 2.5 VL 7B72.5#641
8InternVL2-8B67#813
9Qwen 2 VL 7B63.5#743
10Gemini 2.0 Flash55.5#351
11MiniCPM-V-2.640.5#827
12Claude 3.5 Sonnet40.5#362
13Gemini 1.5 Flash39.5#620
14Phi-4 Multimodal Instruct32.5#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-mvbench-counterfactual-inference · How It Works · Data refreshed daily, snapshot 2026-11-05.