OpenVLM MMT-Bench - Set-of-Mark Recognition: leaderboard
Metric: Score (%). Source: huggingface.co. 207 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 Mini | 100 |
| 2 | InternVL3-38B | 100 |
| 3 | GPT-4.1 (2025-04-14) | 100 |
| 4 | InternVL3-78B | 94.7 |
| 5 | InternVL3-8B | 94.7 |
| 6 | Qwen 2 VL 72B | 94.7 |
| 7 | Llama 3.2 11B Instruct | 94.7 |
| 8 | Claude 3.5 Sonnet | 94.7 |
| 9 | Llama 3.2 90B Vision Instruct | 94.7 |
| 10 | Qwen 2 VL 7B | 89.5 |
| 11 | Claude 3.7 Sonnet | 89.5 |
| 12 | Gemini 1.5 Pro | 89.5 |
| 13 | Gemini 1.5 Flash | 89.5 |
| 14 | Pixtral-12B | 84.2 |
| 15 | Claude 3 Haiku | 84.2 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmt-bench-set-of-mark-recognition · How It Works · Data refreshed daily, snapshot 2026-09-05.