Kosmos-2 is a multimodal model with a particular focus on grounding — it can link words and phrases to specific regions in an image using bounding boxes. It reads visual scenes and produces text that references concrete spatial locations, making it more spatially aware than typical vision-language models. Its 224px patch size keeps it lightweight, though this limits fine-grained detail recognition.