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Public story · 2026-09-18 · high
Weights for the model behind the plugins aren't public, so its steep benchmark claims can't be checked outside Qwen's API.
Why now: Qwen posted the plugins, the model, and the benchmark claims together on September 18, with no independent verification yet available.
Qwen released Qwen3.8-Omni-Flash on September 18, an omnimodal model that handles text, image, audio and video, described in its release post.
The model itself isn't available for download, and its 1M-token context window stays behind Qwen's API. What ships in the open is Qwen-MM-Plugins, which adds image, audio, long-video and video-editing handling directly to Claude Code, Codex and Gemini CLI. Coding agents that only read and write text get a path to audio and video without waiting on their vendors.
The company's own numbers are steep. It claims a 26 percent or better average gain over Qwen3.5-Omni-Plus across 30 evaluations, with WildClawBench-MM up 36.5 points. On the AliMeeting transcription benchmark, diarization error fell to 3.35 and character error to 17.18, down from 88.11 and 89.61. The Agentic Understanding mode raised OmniVideoBench accuracy from 63.4 to 67.8 while cutting the tokens needed to process video by 45.7 percent, to 79,117.
None of that is independently verified. Weights aren't public, so outside labs can't reproduce the AliMeeting numbers or the OmniVideoBench score. They can only test what the API returns.
Each link below shares sources, entities, or timing with this story.
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