Alibaba’s Qwen team released Qwen3.8-LiveTranslate, a next-generation real-time simultaneous interpretation model that listens to live speech, with optional video frames, and returns translated text and speech while the speaker is still talking. The core change is a new Interleave architecture; Qwen reports gains in faithfulness, fluency, and conciseness, with average lagging (LAAL) dropping from 2.8 seconds to 2.3 seconds. The release adds real-time speaker diarization, synchronized bilingual display, and long-context disambiguation. It is live on Alibaba Cloud Model Studio and QwenCloud as qwen3.8-livetranslate-flash-realtime over WebSocket. The model understands 60 languages, can speak 29 of them, returning audio plus text, while the remaining 31 return text only. Inputs are audio and optional images; outputs are text and audio. The docs recommend sending no more than 2 images per second and configuring no more than 1,000 hotwords.