Qwen3.8-Omni-Flash: natively multimodal agent model with 1M-token context

dair_ai · x · 2026-09-26

dairai highlights Qwen team's report on their omni model, calling it the start of "the era of omni models."

Qwen3.8-Omni-Flash: a natively multimodal model trained for long-horizon agent tasks across text, audio and video (video editing, long-form AV translation).
Built on Qwen3.8-Next's sparse MoE design with a 1M-token context window; a co-training strategy preserves text performance while transferring agent skills to audio/video.
Two open-source frameworks ship alongside: Qwen-MM-Plugins (adds AV support to existing agent harnesses) and Qwen-Live-Harness (real-time multimodal interaction with context/memory management, tool use, sub-agent delegation).
Paper linked in the original post.

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