Latest

Omni-modal models are shifting from perception demos to executing multi-step agent work on audio and video, a capability most Western agent stacks still lack. Builders can plug Qwen-MM-Plugins into existing harnesses or use Qwen-Live-Harness for real-time pipelines without building memory and tool routing from scratch. As an open release from Alibaba (Qwen), it gives developers in Southeast Asia and beyond a free alternative to closed multimodal APIs.

DAIR.AI@dair_aiSource

Shipping agent harnesses and plugins with the model means developers can wire real-time audio and video into existing frameworks without building the plumbing themselves. The one-million-token context window makes long-form video and audio workloads practical for teams building editors, translators or live assistants. Builders comparing open multimodal options against closed APIs should benchmark Qwen3.8-Omni-Flash's agent performance on their own tasks.

DAIR.AI@dair_aiSource

For developers, Qwen3.8-Omni-Flash offers a more affordable alternative to Google's Gemini Flash for multimodal tasks.

官方账号Decoder@Matthias BastianSource

For users needing a powerful multimodal AI, the new model is 26% better than its predecessor and offers a 1 million token context, which is useful for processing long documents or videos.

官方一手pandaily@[email protected] (Pandaily)Source

For users needing to process long-form audio-video content, Qwen3.8-Omni-Flash is more affordable than its predecessor, with a 89% reduction in video input costs.

官方账号阿里通义 Qwen@Alibaba_QwenSource

For users needing to process long audio or video files, the model's price for hourly audio input has dropped by over 98% and for video input by over 93%.