Alibaba Qwen Team Releases Qwen3.8-LiveTranslate: A Real-Time Interpretation Model That Cuts Average Lag to 2.3 Seconds Across 60 Languages
Qwen has released Qwen3.8-LiveTranslate, its next-generation real-time simultaneous interpretation model. It 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 also adds real-time speaker diarization, synchronized bilingual displ
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Qwen has released a real-time simultaneous interpretation model that listens to live speech and returns translated text and speech while the speaker is still talking. The model works across 60 languages for understanding and 29 languages for speech output, and reduces average lag from 2.8 seconds to 2.3 seconds through a new Interleave architecture. It includes new features for distinguishing between multiple speakers, displaying source and translated text together, and maintaining consistent terminology throughout conversations. The model is available as a hosted API through Alibaba Cloud Model Studio and QwenCloud, with pricing based on token consumption for audio input, image input, text output, and audio output.
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