OpenVLM Video - MMBench-Video - Cross-Instance Fine-grained Perception: leaderboard

MMBench-Video Cross-Instance Fine-grained Perception (FP-C) score from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): open-ended answers to questions on spatial relationships and interactions between people and objects, rated by GPT-4 against a reference from 0 to 3 and averaged; higher is better. For models listed at several frame budgets (Gemini-1.5-Pro, GPT-4o, Aria) the 1 fps run is used.

Metric: GPT-4 Rating (0-3). Source: huggingface.co. Saturation forecast: Estimated already saturated. 45 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.0 Flash1.8#351
2InternVL2.5-78B1.79#434
3InternVL3-78B1.67#361
4InternVL3-38B1.56#413
5InternVL3-8B1.54#624
6Gemini 1.5 Flash1.52#620
7MiniCPM-V-2.61.51#827
8Qwen 2 VL 72B1.34#450
9Qwen2.5-Omni-7B1.3#633
10Qwen 2 VL 7B1.21#743
11InternVL2-8B1.15#813
12Qwen 2.5 VL 7B1.1#641
13Claude 3.5 Sonnet1.07#362
14Phi-4 Multimodal Instruct0.77#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-mmbench-video-cross-instance-fine-grained-perception · How It Works · Data refreshed daily, snapshot 2026-11-05.