Benchmark
MMVet
vision
multimodal
reasoning
general
spatial_reasoning
math
multimodal
MM-Vet is an evaluation benchmark that examines large multimodal models on complicated multimodal tasks requiring integrated capabilities. It assesses six core vision-language capabilities: recognition, knowledge, spatial awareness, language generation, OCR, and math through questions that require one or more of these capabilities.
语言EN
满分1
参评模型2
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Qwen2.5 VL 72B Instruct | Alibaba Cloud / Qwen Team | 76.2 | 来源 ↗ |
| 2 | Qwen2.5 VL 7B Instruct | Alibaba Cloud / Qwen Team | 67.1 | 来源 ↗ |