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Qwen3.8-Omni-Flash
Qwen's omni-modal model built around agentic capabilities
Qwen3.8-Omni-Flash understands text, image, audio, and video with a 1M-token context, then plans, calls tools, and completes real work: editing video, making music videos, dubbing/translating shows, summarizing meetings into action items, even coding off what it hears and sees.
Qwen3.8-Omni-Flash is Alibaba's next-gen native omnimodal model, built to shift omni AI from just understanding audio/video to actually planning, calling tools, and finishing the work.
It takes text, image, audio, and video input with a 1M-token context window. Across 29 evaluations it improves over 25% on average vs the previous Qwen3.5-Omni-Plus, while audio input pricing drops over 98% and audio-visual pricing drops over 93%.
What it can actually do:
Turn a song into a full music video (Music2MV) - timed lyrics, scene and character design based on rhythm and mood
Translate a whole short drama in one instruction - speaker-aware transcription, translation, voice cloning/dubbing, remixing, QC
Watch a 2-3 hour film and produce a full commentary video - plot extraction, script, voiceover, music, editing, render
Turn a multi-speaker meeting recording into minutes, action items, and even trigger emails or coding tasks
Do agentic long-video search - locate the relevant few minutes in hours of footage instead of processing everything, cutting token use ~46% while improving accuracy
Run real-time audio-visual conversation via a separate Realtime variant, including spatial sound localization ("go see what's making that noise")
It also ships with two open-source pieces: Qwen-MM-Plugins (plugs omni capabilities into agent harnesses like Claude Code, Codex, Qwen Code) and Qwen-Live Harness (runtime for real-time voice/video agents, npm install).
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About Qwen3.8-Omni-Flash on Product Hunt
“Qwen's omni-modal model built around agentic capabilities”
Qwen3.8-Omni-Flash was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #108 on the daily leaderboard. Qwen3.8-Omni-Flash understands text, image, audio, and video with a 1M-token context, then plans, calls tools, and completes real work: editing video, making music videos, dubbing/translating shows, summarizing meetings into action items, even coding off what it hears and sees.
Qwen3.8-Omni-Flash was featured in API (98.7k followers), Artificial Intelligence (479k followers), GitHub (41.4k followers) and Video (2k followers) on Product Hunt. Together, these topics include over 169.6k products, making this a competitive space to launch in.
Who hunted Qwen3.8-Omni-Flash?
Qwen3.8-Omni-Flash was hunted by Anusha Viswanadham. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Anusha Viswanadham
Qwen3.8-Omni-Flash is Alibaba's next-gen native omnimodal model, built to shift omni AI from just understanding audio/video to actually planning, calling tools, and finishing the work.
It takes text, image, audio, and video input with a 1M-token context window. Across 29 evaluations it improves over 25% on average vs the previous Qwen3.5-Omni-Plus, while audio input pricing drops over 98% and audio-visual pricing drops over 93%.
What it can actually do:
Turn a song into a full music video (Music2MV) - timed lyrics, scene and character design based on rhythm and mood
Translate a whole short drama in one instruction - speaker-aware transcription, translation, voice cloning/dubbing, remixing, QC
Watch a 2-3 hour film and produce a full commentary video - plot extraction, script, voiceover, music, editing, render
Turn a multi-speaker meeting recording into minutes, action items, and even trigger emails or coding tasks
Do agentic long-video search - locate the relevant few minutes in hours of footage instead of processing everything, cutting token use ~46% while improving accuracy
Run real-time audio-visual conversation via a separate Realtime variant, including spatial sound localization ("go see what's making that noise")
It also ships with two open-source pieces: Qwen-MM-Plugins (plugs omni capabilities into agent harnesses like Claude Code, Codex, Qwen Code) and Qwen-Live Harness (runtime for real-time voice/video agents, npm install).
Try it: Qwen Studio · API · Qwen-MM-Plugins