OpenBMB has announced the release of MiniCPM-V 2.6, a multimodal large language model (MLLM) designed for end-side deployment on mobile devices. Built on SigLip-400M and Qwen2-7B, MiniCPM-V 2.6 offers capabilities similar to GPT-4V, allowing it to process single images, multiple images, and videos efficiently on mobile platforms. This model represents a significant advancement in on-device AI technology, enabling sophisticated video understanding and interaction with reduced computational requirements. The innovation in MiniCPM-V 2.6 lies in its unified architecture, which supports high-resolution image-text modeling, making it a versatile tool for various applications.