OpenVLM MMStar - Coarse Perception — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 284 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2 VL 72B | 74.4 |
| 2 | GPT-5 Nano | 74 |
| 3 | GPT-5 (2025-08-07) | 74 |
| 4 | Gemini 1.5 Pro (002) | 73.6 |
| 5 | Gemini 1.5 Pro | 73.6 |
| 6 | GPT-4.1 (2025-04-14) | 73.6 |
| 7 | GPT-4o ChatGPT | 73.6 |
| 8 | InternVL3-8B | 73.2 |
| 9 | Gemini 2.5 Pro | 72.4 |
| 10 | GPT-4.1 Mini | 72.4 |
| 11 | Gemini 1.5 Flash | 72.4 |
| 12 | Qwen 2 VL 7B | 72 |
| 13 | Gemini 2.0 Flash | 72 |
| 14 | GPT-4.5 | 72 |
| 15 | GPT-5 Mini (2025-08-07) | 72 |
Interactive version: theaggregate.ai/benchmark?slug=openvlm-mmstar-coarse-perception · How the rankings work · Data refreshed daily, snapshot 2026-07-22.