Qwen3-Omni-30B-A3B-Instruct is a natively end-to-end multilingual omni-modal foundation model developed by Alibaba. It processes text, images, audio, and video inputs to deliver real-time streaming responses in both text and natural speech. The model is designed for low-latency interactions, supporting natural turn-taking and immediate responses across various modalities.
The architecture utilizes a Thinker–Talker design based on a Mixture of Experts (MoE) framework. The "A3B" designation indicates that out of a total parameter count of approximately 30 billion, 3 billion parameters are active during inference. This configuration allows the model to maintain strong reasoning performance while optimizing for computational efficiency and reducing inference latency.
Key capabilities include support for 119 written languages and 19 spoken languages for understanding, with 10 spoken languages supported for output. It can handle audio contexts up to 40 minutes in length and is equipped for complex tasks such as video-based reasoning, real-time voice conversation, and tool usage through function calling.