signalAI热榜zh source2026-09-18
Qwen 发布原生全模态模型 Qwen3.8-Omni-Flash,主打音视频智能体任务交付
Qwen released Qwen3.8-Omni-Flash, a native full-modal model with 1M token context, scoring 25%+ higher than Qwen3.5-Omni-Plus across 29 benchmarks while cutting per-hour API costs by 98%+ for audio and 93%+ for audio-video input. It gains 36.5 points on WildClawBench-MM and 22.3 on AgenticVBench, improves LongAudioSpan (+8.3) and OmniVideoBench (+9.6), and nears Gemini 3.8 Flash on audio-video while exceeding it on audio. Launching with Qwen-MM-Plugins and the open-source Qwen-Live Harness, it delivers agentic workflows for video editing, short-drama translation, movie commentary, long-meeting summary/action items, and research reports, using self-directed evidence gathering that cuts token use by ~45.7% on OmniVideoBench.
- why now
- Qwen3.8-Omni-Flash新API发布,音视频价格降超90%。
- topic
- AI Tech & New Models
- source
- AI热榜
#Qwen#API
score
score 8 out of 10. 0-10: how dense the facts are, multiplied by how much you can do with them after reading. 8+ means the topic's evidence bar is met: benchmarks and availability for a new model, amount and investors for a funding round, revenue figures for a solo-money story. Below 5 an item does not enter the digest. A press release scores 3 or less, a reprint loses 2, anything older than 14 days loses 1, a headline that misleads loses 3.
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