OpenVLM A-Bench - Nouns as Adjectives: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 160 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2 VL 2B | 86 |
| 2 | GPT-4.1 (2025-04-14) | 83.7 |
| 3 | InternVL3-78B | 81.4 |
| 4 | InternVL3-14B | 81.4 |
| 5 | Aquila-VL-2B | 81.4 |
| 6 | Gemini 1.5 Pro | 79.1 |
| 7 | Gemma 3 4B | 79.1 |
| 8 | Moonshot v1 8K | 79.1 |
| 9 | InternVL2-8B | 76.7 |
| 10 | Claude 3.7 Sonnet | 76.7 |
| 11 | Llama 3.2 11B Instruct | 76.7 |
| 12 | Gemini 1.5 Flash | 76.7 |
| 13 | Grok 2 (1212) | 76.7 |
| 14 | GPT-4.1 Mini | 74.4 |
| 15 | Qwen 2 VL 7B | 74.4 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-a-bench-nouns-as-adjectives · How It Works · Data refreshed daily, snapshot 2026-09-19.