Live speech translation model that uses visual context to improve translation, supporting 60 languages with early streaming translation. A free online demo is available.
Alibaba Qwen model for live speech translation across 60 languages that uses visual context and streams translations early.
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Qwen 3.5 LiveTranslate at a glance
- What is Qwen 3.5 LiveTranslate?
- Qwen 3.5 LiveTranslate is a model from Alibaba. Alibaba Qwen model for live speech translation across 60 languages that uses visual context and streams translations early.
- Who makes Qwen 3.5 LiveTranslate?
- Qwen 3.5 LiveTranslate is made by Alibaba.
- Does Qwen 3.5 LiveTranslate work in the EU?
- Unverified. No explicit evidence found. Last verified 14 Nov 2026.
- How much does Qwen 3.5 LiveTranslate cost?
- Pricing unknown. Free online demo reported by a creator; no pricing details confirmed.
- Where was Qwen 3.5 LiveTranslate shown?
- In 1 creator video by AI Search. Most recently by AI Search on 24 May 2026, at 29:08 in “AI scientist, DNA editors, AI NPCs, new Qwen, open-source robots, new video editors: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
Qwen 3.5 LiveTranslate is a live speech translation model from Alibaba's Qwen team. According to creator coverage, it supports about 60 languages and begins streaming translated output before the speaker has finished, which reduces latency in live use.
The model also uses visual context to improve translation quality, for example by taking cues from what is shown on screen or in the scene to resolve ambiguous words. A free online demo is reported to be available through the Qwen platform.
The official page fetched provided little detail beyond the Qwen site's general description, so specifics such as weights availability, license, API pricing and exact release date are not confirmed here.
- Live speech-to-speech/text translation
- Supports about 60 languages
- Early streaming translation to cut latency
- Uses visual context to improve accuracy
- Free online demo reported
As seen on YouTube
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