Qwen3.8-Omni-Flash Launches: Audio-Video Agent Model with 98%+ Price Cut
千问大模型 · wechat · 2026-09-18
Alibaba's Qwen team released Qwen3.8-Omni-Flash, a native omni-modal model focused on real productivity Agent workflows, with text/image/audio/video input and 1M-token context. Capabilities: +26% average across 30 benchmarks vs Qwen3.5-Omni-Plus; video understanding near Gemini 3.8 Flash and audio overall ahead of it. Agentic long-video understanding lifts OmniVideoBench accuracy from 63.4 to 67.8 while cutting tokens 45.7%; native hour-long multi-speaker meeting understanding can generate minutes and execute follow-ups like emails and coding. Pricing: hourly audio input price down over 98%, audio-video down over 93%. Ecosystem: open-sourced Qwen-MM-Plugins (including Video2Note and OmniSkillCreator, which turns screen recordings into Agent Skills) and Qwen-LiveHarness for real-time interaction; a Realtime variant supports live spoken tutoring and spatial-audio sound localization. The team also demoed the agent autonomously improving Qwen2.5-Omni-3B's Sichuan-dialect ASR in 12 hours, cutting CER from 25.79% to 15.30%.
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