OpenVLM MMBench V1.1 EN - Structuralized Imagetext Understanding: leaderboard
OpenCompass OpenVLM MMBench V1.1 English split accuracy for structured image-text understanding.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 284 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 Mini (2025-08-07) | 96.3 | #172 |
| 2 | Gemini 2.5 Pro | 95.4 | #152 |
| 3 | GPT-5 | 90.8 | #98 |
| 4 | GPT-4.1 (2025-04-14) | 88.1 | #250 |
| 5 | GPT-5 Nano | 87.2 | #425 |
| 6 | GPT-4o ChatGPT | 87.2 | |
| 7 | Claude 3.5 Sonnet (20241022) | 86.2 | #291 |
| 8 | Claude 3.7 Sonnet | 84.4 | #249 |
| 9 | InternVL3-38B | 82.6 | #405 |
| 10 | InternVL3-14B | 81.7 | #505 |
| 11 | InternVL3-78B | 80.7 | #352 |
| 12 | InternVL2.5-78B | 80.7 | #431 |
| 13 | Claude 3.5 Sonnet | 78.9 | #350 |
| 14 | Gemini 1.5 Pro (002) | 77.1 | #349 |
| 15 | Qwen 2 VL 72B | 77.1 | #460 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmbench-v1-1-en-structuralized-imagetext-understanding · How It Works · Data refreshed daily, snapshot 2026-10-20.