MiniCPM-o 2.6 is the latest and most powerful model in the MiniCPM-o series. Built upon SigLip-400M, Whisper-medium-300M, ChatTTS-200M, and Qwen2.5-7B, it boasts 8 billion parameters. It excels in visual understanding, speech interaction, and multimodal live broadcasting, supporting real-time voice conversations and diverse live streaming features. The model performs excellently in the open-source community, surpassing several well-known models. Its strengths include efficient inference speed, low latency, and minimal memory and power consumption, allowing for effective multimodal live streaming on devices such as iPads. Moreover, MiniCPM-o 2.6 is user-friendly, supporting multiple usage approaches including CPU inference with llama.cpp, quantized models in int4 and GGUF formats, and high-throughput inference with vLLM.