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

MMBench-Video Single-Instance Fine-grained Perception (FP-S) score from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): open-ended answers to questions on OCR, object, attribute and event recognition, human motion and counting, 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 Flash2.11#351
2InternVL2.5-78B2.1#434
3InternVL3-78B1.97#361
4InternVL3-38B1.96#413
5InternVL3-8B1.85#624
6Qwen 2 VL 72B1.84#450
7MiniCPM-V-2.61.8#827
8Qwen2.5-Omni-7B1.77#633
9Gemini 1.5 Flash1.69#620
10Qwen 2 VL 7B1.53#743
11Qwen 2.5 VL 7B1.53#641
12Claude 3.5 Sonnet1.39#362
13InternVL2-8B1.37#813
14Phi-4 Multimodal Instruct0.86#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-single-instance-fine-grained-perception · How It Works · Data refreshed daily, snapshot 2026-11-05.