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On September 19, 2026, Qwen launched its new-generation real-time simultaneous interpretation model, Qwen3.8-LiveTranslate. According to the official release information, the model is based on the Interleave architecture and reduces average latency (LAAL) from 2.8s to 2.3s across 60 languages, 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; bilingual synchronized 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 announcement also provides links to a blog post and case studies. There are currently no subsequent developments.
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Qwen Releases Real-Time Simultaneous Interpretation Model Qwen3.8-LiveTranslateDevelopments
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Qwen launches real-time simultaneous interpretation model Qwen3.8-LiveTranslate
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Sep 19
Tongyi Qianwen / QwenFirst-partySelected
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.