Qwen3.5-Omni is Qwen"s new native omni model for text, images, audio, and video, with stronger multilingual speech, realtime voice interaction, web search, function calling, voice cloning, and long-context audio/video understanding.
Qwen3.5-Omni is the latest native omni model from the Qwen family. It handles text, images, audio, and video in one system, pushes hard on multilingual speech, and adds a lot of the interaction stuff that actually matters in practice: semantic interruption, realtime voice control, WebSearch, Function Calling, and voice cloning. The audio/video captioning and "audio-visual vibe coding" angle is especially wild.
It is not open-sourced yet. Right now, the way to try it is through the Hugging Face offline or online demos, or through the official API.
Would love to see this land in the Coding Plan soon!
If there were no security risks, I’d actually like to use Chinese LLMs more. Their prices are low and the performance is pretty good. But that security aspect always worries me a bit.
About Qwen3.5-Omni on Product Hunt
“A native omni model for voice, video, and tools”
Qwen3.5-Omni launched on Product Hunt on March 31st, 2026 and earned 141 upvotes and 2 comments, placing #10 on the daily leaderboard. Qwen3.5-Omni is Qwen"s new native omni model for text, images, audio, and video, with stronger multilingual speech, realtime voice interaction, web search, function calling, voice cloning, and long-context audio/video understanding.
Qwen3.5-Omni was featured in API (98k followers), Artificial Intelligence (466.2k followers) and Development (5.8k followers) on Product Hunt. Together, these topics include over 99.2k products, making this a competitive space to launch in.
Who hunted Qwen3.5-Omni?
Qwen3.5-Omni was hunted by Zac Zuo. 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.
Want to see how Qwen3.5-Omni stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
Qwen3.5-Omni is the latest native omni model from the Qwen family. It handles text, images, audio, and video in one system, pushes hard on multilingual speech, and adds a lot of the interaction stuff that actually matters in practice: semantic interruption, realtime voice control, WebSearch, Function Calling, and voice cloning. The audio/video captioning and "audio-visual vibe coding" angle is especially wild.
It is not open-sourced yet. Right now, the way to try it is through the Hugging Face offline or online demos, or through the official API.
Would love to see this land in the Coding Plan soon!