Benchmark
RealWorldQA
vision
spatial_reasoning
multimodal
RealWorldQA is a benchmark designed to evaluate basic real-world spatial understanding capabilities of multimodal models. The initial release consists of over 700 anonymized images taken from vehicles and other real-world scenarios, each accompanied by a question and easily verifiable answer. Released by xAI as part of their Grok-1.5 Vision preview to test models' ability to understand natural scenes and spatial relationships in everyday visual contexts.
语言EN
满分1
参评模型6
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Qwen2-VL-72B-Instruct | Alibaba Cloud / Qwen Team | 77.8 | 来源 ↗ |
| 2 | Qwen2.5-Omni-7B | Alibaba Cloud / Qwen Team | 70.3 | 来源 ↗ |
| 3 | Grok-1.5V | xAI | 68.7 | 来源 ↗ |
| 4 | DeepSeek VL2 | DeepSeek | 68.4 | 来源 ↗ |
| 5 | DeepSeek VL2 Small | DeepSeek | 65.4 | 来源 ↗ |
| 6 | DeepSeek VL2 Tiny | DeepSeek | 64.2 | 来源 ↗ |