Meet Qwen3.8-LiveTranslate, Qwen's next-generation real-time simultaneous interpretation model! 📢
Built on an Interleave architecture, it improves faithfulness, fluency, and conciseness while reducing average lagging (LAAL) from 2.8s to 2.3s across 60 languages.
New capabilities: 🙌
- Real-time speaker diarization — distinguishes speakers in multi-party speech and preserves each speaker's voice through more stable voice cloning.
- Synchronized bilingual display — source and translation on screen together.
- Long-context disambiguation — leverages conversation history to clarify names and terminology for consistent translations.
Let's try Qwen3.8-LiveTranslate! 🥳
- Blog: https://t.co/05CsjkegUE
- QwenCloud:
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
Why it matters
A production interpretation model with sub-3-second lag, live speaker diarization with voice cloning, and long-context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → term disambiguation gives builders a real-time translation building block for multilingual voice products.
