OpenVLM OCR-VQA: leaderboard
OpenCompass OpenVLM OCR-VQA test-core results: question answering over book-cover images where models must read title, author, genre, and other visual text.
Metric: Accuracy (%). Source: huggingface.co. 118 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2 VL 72B | 73.7 |
| 2 | Pixtral-12B | 64.7 |
| 3 | Aquila-VL-2B | 63.3 |
| 4 | InternVL2-8B | 42.6 |
| 5 | InternVL3-8B | 38.9 |
| 6 | GPT-4.1 Nano | 36 |
| 7 | Gemma 3 4B | 27.6 |
| 8 | GPT-4.1 Mini | 26.3 |
| 9 | GPT-4.1 (2025-04-14) | 18.7 |
| 10 | Gemini 1.5 Flash | 18.5 |
| 11 | Gemma 3 12B | 17.7 |
| 12 | Gemma 3 27B | 13.5 |
| 13 | Gemini 1.0 Pro | 12.3 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-ocr-vqa · How It Works · Data refreshed daily, snapshot 2026-09-05.