OpenVLM Video - MVBench - Episodic Reasoning: leaderboard

MVBench Episodic Reasoning accuracy from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): one of MVBench's 20 temporal tasks, 200 multiple-choice questions on events and characters in TV episodes. Accuracy in percent, higher is better.

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

Top models

#ModelScoreOverall rank
1InternVL3-78B70.5#361
2InternVL3-8B67.5#624
3Gemini 2.0 Flash65.5#351
4InternVL2.5-78B65#434
5InternVL3-38B64.5#413
6Qwen 2 VL 72B61.5#450
7Qwen2.5-Omni-7B59.5#633
8Qwen 2 VL 7B57.5#743
9Gemini 1.5 Flash53.5#620
10Qwen 2.5 VL 7B51#641
11InternVL2-8B48#813
12Phi-4 Multimodal Instruct45.5#922
13MiniCPM-V-2.643#827
14Claude 3.5 Sonnet7.5#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-episodic-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-05.