OpenVLM MMBench V1.0 EN - AR: leaderboard

MMBench v1.0 English test questions on attribute reasoning (AR: physical property, function and identity reasoning), from the OpenCompass OpenVLM Leaderboard (VLMEvalKit). CircularEval counts a question only if every rotation of its options is answered correctly. Accuracy in percent, higher is better; this is the original question set, separate from the MMBench V1.1 boards.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 231 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4.1 (2025-04-14)88.2#257
2InternVL3-78B86.1#361
3InternVL3-38B85.4#413
4InternVL3-14B85.4#506
5Qwen 2 VL 72B85.4#450
6Aquila-VL-2B85.4#1216
7InternVL2.5-78B85.4#434
8Grok 2 (1212)85.4#502
9Qwen 2 VL 7B85.1#743
10Gemma 3 27B85.1#606
11GPT-4.1 Mini84.4#363
12InternVL3-8B83.3#624
13Qwen 2.5 VL 7B82.6#641
14Gemini 1.5 Flash82.6#620
15Llama 3.2 90B Vision Instruct82.6#621

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-0-en-ar · How It Works · Data refreshed daily, snapshot 2026-11-05.