OpenVLM A-Bench - Technical Quality: leaderboard

A-Bench Technical Quality accuracy from the OpenCompass OpenVLM Leaderboard (VLMEvalKit): multiple-choice questions on AI-generated images, judging technical quality such as blur, noise and exposure. A dimension of A-Bench-P2 (low-level quality perception). Accuracy in percent, higher is better.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 160 models tracked.

Top models

#ModelScoreOverall rank
1MiniCPM-V-2.677.2#827
2Qwen 2 VL 72B76.4#450
3InternVL3-78B75.3#361
4GPT-4.1 (2025-04-14)75.3#257
5InternVL3-14B73.7#506
6Grok 2 (1212)73.4#502
7GPT-4.1 Mini72.2#363
8Gemini 1.5 Flash72.2#620
9InternVL3-38B71.8#413
10Aquila-VL-2B71.8#1216
11Qwen 2.5 VL 7B71.8#641
12InternVL3-8B71#624
13Qwen 2 VL 7B71#743
14Gemma 3 27B71#606
15Pixtral-12B71#805

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

Interactive version: theaggregate.ai/benchmark?slug=openvlm-a-bench-technical-quality · How It Works · Data refreshed daily, snapshot 2026-11-05.