Qwen simultaneous interpretation model Qwen3.8-LiveTranslate launched, latency reduced by 18%
1 days ago
Beating AI News: Qianwen releases real-time simultaneous interpretation model Qwen3.8-LiveTranslate. The model cuts the average lag time (LAAL, a metric measuring simultaneous interpretation average delay) from 2.8 seconds of its predecessor to 2.3 seconds, and adds new capabilities including real-time speaker diarization, synchronized source and translation output, and long-context disambiguation. It can now distinguish different speakers, align translations with specific utterances, and ensure translated speech more stably retains each speaker’s voice characteristics. Source and translation texts are also returned in a synchronized stream. The model further leverages previous context to identify names, terms, and references, reducing ambiguity stemming from only processing the current sentence. API pricing remains largely unchanged versus the previous generation. Per Alibaba Cloud’s price list, the prices for audio input, image input, text output, and audio output of Qwen3.8-LiveTranslate in the Beijing region are identical to those of Qwen3.5-LiveTranslate; the four prices for the Singapore region have even decreased slightly.
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