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Generative AI & Modelsupdated 4 min read

Alibaba releases Qwen3.8-Omni-Flash, a 1M-token omni-modal model with agentic audio‑video

Alibaba’s Qwen team announced the launch of Qwen3.8-Omni-Flash, its first omni‑modal model that handles text, images, audio and video and returns text. The model runs as a hosted API on QwenCloud, Alibaba Cloud Model Studio and Qwen Studio; no open‑weight version was released, so self‑hosting is not possible. It is built on the Qwen3.8-Flash-Next architecture and offers a 1 M‑token context…

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What you can do with it

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Qwen3.8-LiveTranslate API by Alibaba

Find live subtitles for webinars with Qwen3.8-LiveTranslate API

What you get You can turn phone calls into written notes and get instant translation for meetings.

Transcribes speech to text live and returns written output via a cloud service.

Who for
marketers, founders and operations
Cost
paid from $1.54 per hour
Effort
minutes

Use it for

  • Find live subtitles for webinars
  • Turn phone calls into written notes
  • Get instant translation for meetings

Watch out Pricing varies by region

Try it ↗ What happened · MarkTechPost, The Decoder Make content fasterRun the business

Qwen3.8-LiveTranslate API in the tool directory

Key points from the news

  • Qwen3.8-Omni-Flash supports text, image, audio, video input and returns text via a hosted API.
  • Model offers 1 M‑token context (991 K input, 131 K output) and costs $0.15 per 1 M input tokens, $0.47 per 1 M output tokens.
  • Agentic video perception raises OmniVideoBench accuracy from 63.4 to 67.8 while cutting token use by 45.7%.

The research team reports that the agentic perception approach improves OmniVideoBench accuracy from 63.4 to 67.8 while reducing token usage by about 45.7 %. Across 29 evaluations the model averages more than a 25 % score gain over Qwen3.5-Omni-Plus, with notable improvements on WildClawBench‑MM (+36.5 points) and UniClawBench (69.6). All benchmark figures are from Qwen and have not been independently verified. The team also open‑sourced Qwen‑MM‑Plugins and Qwen‑Live Harness under Apache‑2.0 to help developers build multimodal agents, though audio must still be routed through the API rather than fed directly.

Model pages: Qwen3.8-Omni-Flash → · Qwen3.8-LiveTranslate →

The story so far

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  1. Alibaba releases Qwen3.8-Omni-Flash, a 1M-token omni-modal model with agentic audio‑videothis story
Full story from MarkTechPost · by Asif RazzaqOpen source ↗

Alibaba Qwen Releases Qwen3.8-Omni-Flash: A 1M-Context Omni-Modal Model Built Around Agentic Audio-Video Understanding and Tool Use

MarkTechPost · 18 September 2026

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This text was published by MarkTechPost and written by Asif Razzaq. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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