HyperAI
Command Palette
Search for a command to run...
MMMU-Pro
MMMU 的增强基准,消除了捷径与猜测策略,以更严格地评测多模态模型在 30 个学科中的表现。
- 模型
- 126 当前,303 总共
- 中位数
- 70.8%
- 范围
- 14.5%–89.2%
| 排名 | 比较 | 模型 | 评分 |
|---|---|---|---|
| 101 | 53.2% | ||
| 102 | Llama 4 Scout Meta | 52.9% | |
| 103 | 52.9% | ||
| 104 | 52.7% | ||
| 105 | Gemma 4 E4B (Reasoning) Google | 51.4% | |
| 106 | 51.2% | ||
| 107 | 49.9% | ||
| 108 | Ministral 3 14B Mistral | 49.8% | |
| 109 | 49.0% | ||
| 110 | 46.5% | ||
| 111 | Ministral 3 8B Mistral | 46.0% | |
| 112 | Gemma 4 E2B (Reasoning) Google | 44.6% | |
| 113 | 44.5% | ||
| 114 | Qwen3.5 2B (Reasoning) Alibaba | 43.0% | |
| 115 | Qwen3.5 2B (Non-reasoning) Alibaba | 42.7% | |
| 116 | 41.8% | ||
| 117 | 39.5% | ||
| 118 | Ministral 3 3B Mistral | 38.1% | |
| 119 | MiniCPM-V 4.6 1.3B OpenBMB | 37.9% | |
| 120 | Molmo2-8B Allen Institute for AI | 37.5% | |
| 121 | 29.3% | ||
| 122 | LFM2.5-VL-1.6B Liquid AI | 26.5% | |
| 123 | Qwen3.5 0.8B (Reasoning) Alibaba | 25.8% | |
| 124 | Qwen3.5 0.8B (Non-reasoning) Alibaba | 25.7% | |
| 125 | Molmo 7B-D Allen Institute for AI | 24.5% | |
| 126 | Phi-4 Multimodal Instruct Microsoft | 14.5% |