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TechPulse take: Alibaba has launched Qwen-Audio-3.1-Realtime, a full-duplex voice model designed to reason and execute tool calls while managing real-time conversation flow. The system utilizes a three-layer training architecture—Think, Act, and Speak—to dynamically decide when to listen or respond, significantly reducing background noise interference and improving task success rates for voice agents. This release represents a concrete advancement in multimodal AI infrastructure, offering immediate API access for developers building complex voice interaction systems.
Alibaba Qwen Releases Qwen-Audio-3.1-Realtime: A Full-Duplex Voice Model Trained to Think, Act, and Decide When to Speak
Alibaba's Qwen team released Qwen-Audio-3.1-Realtime, a full-duplex voice model trained to reason, call tools and decide when to speak. On a τ-Voice adaptation, task success rises to 82.0% from 78.4%. Replies to background speech drop from 73% to 13%. It is available now as an API on QwenCloud. The post Alibaba Qwen Releases Qwen-Audio-3.1-Realtime: A Full-Duplex Voice Model Trained to Think, Act, and Decide When to Speak appeared first on MarkTechPost.
Alibaba's Qwen team has released Qwen-Audio-3.1, a 5-model audio stack spanning ASR, TTS and realtime interaction. The main model is Qwen-Audio-3.1-Realtime, a full-duplex speech model built for voice agents that call tools. Qwen also cut prices: about 85% on Realtime, about 70% on TTS and up to 95% on ASR. Is it deployable? Yes, as a managed API. qwen-audio-3.1-realtime-plus is live on QwenCloud over WebSocket. No open weights were announced. The model page lists text and audio as…
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