OpenVLM A-Bench - Contradiction Overcome: leaderboard

A-Bench Contradiction Overcome accuracy from the OpenCompass OpenVLM Leaderboard (VLMEvalKit): multiple-choice questions on AI-generated images, on images generated from prompts that contradict common sense, answered from what the image shows. A dimension of A-Bench-P1 (high-level semantic understanding). Accuracy in percent, higher is better.

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

Top models

#ModelScoreOverall rank
1InternVL3-8B95.8#624
2Grok 2 (1212)91.7#502
3Qwen 2 VL 7B87.5#743
4Qwen 2 VL 72B87.5#450
5Qwen 2 VL 2B87.5#1191
6InternVL2-8B83.3#813
7Gemma 3 27B83.3#606
8Gemma 3 4B83.3#1088
9InternVL3-38B79.2#413
10InternVL3-14B79.2#506
11Qwen 2.5 VL 7B79.2#641
12Gemma 3 12B79.2#674
13Gemini 1.5 Flash79.2#620
14InternVL3-78B75#361
15Gemini 1.5 Pro75#454

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-contradiction-overcome · How It Works · Data refreshed daily, snapshot 2026-11-05.