Raw SignalSep 18, 20261 min read1 source

Qwen launches Qwen3.8-Omni-Flash, an omnimodal model built for agentic tasks

The Qwen team released Qwen3.8-Omni-Flash, an omnimodal model with a 1M-token context aimed at audio and video agent workflows.

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The Qwen team released Qwen3.8-Omni-Flash, an omnimodal model with a 1M-token context aimed at audio and video agent workflows. The Qwen team launched Qwen3.8-Omni-Flash, a native omnimodal model that accepts text, image, audio, and video with a 1M-token context window, available on the Qianwen AI Platform. The team reports an average gain of more than 25% over Qwen3.5-Omni-Plus across 29

The Qwen team launched Qwen3.8-Omni-Flash, a native omnimodal model that accepts text, image, audio, and video with a 1M-token context window, available on the Qianwen AI Platform. The team reports an average gain of more than 25% over Qwen3.5-Omni-Plus across 29 evaluations and audio input prices lower by more than 98% per hour.

On OmniVideoBench, an agentic mode that chooses which segments to watch raised accuracy from 63.4 to 67.8 while cutting tokens per query by about 45.7%. The team also open-sourced Qwen-Live Harness for real-time interaction. The post is marked as a draft and does not establish open model weights or independent results.

Evidence / sources

  1. 1qwen.ai/blog?id=qwen3.8-omni-flash
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