media MarkTechPost · 10h ago · releases

Alibaba Qwen releases Qwen3.8-Omni-Flash, an agentic omni-modal model with 1M context

from English

Alibaba's Qwen team has released Qwen3.8-Omni-Flash, its first omni-modal model designed around agentic capabilities for audio-video understanding and tool use. The model accepts text, images, audio, and video inputs to return text outputs, featuring a 1M-token context window and native function calling.

Built on the Qwen3.8-Flash-Next architecture, it offers a 1M-token context with 991K max input and 131K max output tokens.
It employs an agentic perception workflow for long videos, raising OmniVideoBench accuracy from 63.4 to 67.8 while reducing token usage by 45.7%.
The model shows significant performance gains over Qwen3.5-Omni-Plus, with average scores improving more than 25% across 29 evaluations.
It is available via API on QwenCloud, Alibaba Cloud Model Studio, and Qwen Studio, with pricing at $0.15 per 1M input tokens and $0.47 per 1M output tokens.
The team also open-sourced Qwen-MM-Plugins under Apache-2.0 to support multimodal agent harnesses.

The release provides a hosted solution for complex agentic workflows involving long-form audio and video analysis, with reported cost reductions of over 93% for audio-visual inputs compared to previous models.

Importance 3/3 New feature vs. leaders New harness with differentiators MarkTechPost Alibaba (Qwen) AI agents Multimodal

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