Alibaba’s Qwen releases Qwen3.8-Omni-Flash with 1M-token context

Alibaba's Qwen team released Qwen3.8-Omni-Flash, a native omni-modal model that processes text, images, audio and video in a single workflow with a 1-million-token context window, available through the Qwen AI platform. Alibaba said the model improved its average score by more than 26% across 30 evaluations versus Qwen3.5-Omni-Plus, with gains in audio-video agents, coding, long-context tasks and real-time multimodal interaction, and cut API input pricing to as low as RMB 0.8 per million tokens. Alibaba also released Qwen-MM-Plugins and Qwen-Live Harness for long-running and real-time workflows.

Alibaba’s Qwen team has released Qwen3.8-Omni-Flash, a native omni-modal model that can process text, images, audio and video in a single workflow. The model supports a 1-million-token context window and is now available through the Qwen AI platform. Alibaba said Qwen3.8-Omni-Flash improved its average score by more than 26% across 30 evaluations compared with Qwen3.5-Omni-Plus. It also reported gains in audio-video agents, coding, long-context tasks and real-time multimodal interaction. The model supports long-video analysis, meeting summaries, video research and multimodal tool use. Alibaba has also released Qwen-MM-Plugins and Qwen-Live Harness for long-running and real-time workflows. API input pricing has been reduced to as low as RMB 0.8 per million tokens. IT Home https://www.ithome.com/1/004/049.htm , in Chinese