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Alibaba Qwen has released Qwen3.8-Omni-Flash, its first omni-modal model built around agent capabilities, with native support for audio-visual understanding, reasoning, and tool calling. The company says its audio-visual capabilities are close to Gemini 3.8 Flash, with agent performance improving by an average of 19.5 points on WildClawBench-MM and UniClawBench; it supports a 1M token context and uses 51.8% fewer tokens than static understanding on OmniVideoBench. Video input costs are about 89% lower than Qwen3.5-Omni-Plus, while Qwen-MM-Plugins is being open-sourced and Qwen-Live Harness is coming soon.
Alibaba Qwen has released Qwen3.8-Omni-Flash, its first omni-modal model built around agent capabilities, with native support for audio-visual understanding, reasoning, and tool calling. The company says its audio-visual capabilities are close to Gemini 3.8 Flash, with agent performance improving by an average of 19.5 points on WildClawBench-MM and UniClawBench; it supports a 1M token context and uses 51.8% fewer tokens than static understanding on OmniVideoBench. Video input costs are about 89%
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