OpenVLM A-Bench - Nouns as Adjectives: leaderboard

A-Bench Nouns as Adjectives accuracy from the OpenCompass OpenVLM Leaderboard (VLMEvalKit): multiple-choice questions on AI-generated images, on prompts in which a noun modifies another object, so the model must not assume that noun's object is present. 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
1Qwen 2 VL 2B86#1191
2GPT-4.1 (2025-04-14)83.7#257
3InternVL3-78B81.4#361
4InternVL3-14B81.4#506
5Aquila-VL-2B81.4#1216
6MiniCPM-V-2.679.1#827
7Gemini 1.5 Pro79.1#454
8Gemma 3 4B79.1#1088
9Moonshot v1 8K79.1#622
10InternVL3-38B76.7#413
11InternVL2-8B76.7#813
12Claude 3.7 Sonnet76.7#259
13Llama 3.2 11B Instruct76.7#1108
14Gemini 1.5 Flash76.7#620
15Grok 2 (1212)76.7#502

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-nouns-as-adjectives · How It Works · Data refreshed daily, snapshot 2026-11-05.