Qwen2.5-Omni is an end-to-end multimodal AI model that processes text, images, audio, and video simultaneously.It generates both text and natural speech in real-time streaming using block-wise processing for audio and visual inputs.The model employs a 'Thinker-Talker' architecture for dual-track output and introduces Time-aligned Multimodal RoPE (TMRoPE) for synchronization.Qwen2.5-Omni outperforms previous models on multimodal benchmarks and implements sliding-window DiT for reduced audio latency.