Google has released the PaLI-3 visual language model, which is lightweight yet achieves SOTA performance. This model employs a contrastive pre-training method and deeply explores the potential of VIT, demonstrating outstanding performance in multilingual modality retrieval. PaLI-3 perfectly integrates natural language understanding and image recognition, becoming an important force in AI innovation. The model's SigLIP-based contrastive pre-training method opens up a new era for multilingual cross-modal retrieval. Although it has not been fully open-sourced, multilingual and English SigLIP models have been released, providing opportunities for researchers to experiment.