Qwen Releases Real-Time Simultaneous Interpretation Model Qwen3.8-LiveTranslate
Qwen has released its next-generation real-time simultaneous interpretation model, Qwen3.8-LiveTranslate, built on the Interleave architecture. Across 60 languages, it reduces average latency (LAAL) from 2.8s to 2.3s, while improving faithfulness, fluency, and conciseness. New capabilities include real-time speaker diarization, which can distinguish speakers in multi-party speech and preserve each person's voice through more stable voice cloning; synchronized bilingual display, presenting the source text and translation on the same screen; and long-context disambiguation, which uses conversation history to clarify names and terminology to ensure translation consistency. The model is now available on QwenCloud, and the official release also provides links to a blog post and case studies.
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SelectedAI score 62
The official release provides latency comparisons for the new model across 60 languages and three new capabilities, which can be used to assess the practical boundaries of real-time simultaneous interpretation.
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Performance: https://t.co/pmqlTAU85Z