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.
Reviewers see Qwen3 as a fast, lightweight model that is especially strong for practical work: quick everyday tasks, prototyping simple code and websites, and cases where other AI tools fall short technically. Users say its response quality often feels close to bigger models while being faster and cheaper. The main user complaint is product UX around history, editing, and edge-case handling. Founders also report concrete production use, with makers of JDoodle.ai and Zesty by DoorDash saying it powers agents and agentic search.
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ProAI — All-in-one AI Advisor, Forecaster, Creative, & Fundraiser
All-in-one AI Advisor, Forecaster, Creative, & Fundraiser
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!
I’ve been using Qwen for building a simple code and website generator, and it works really well for fast iterations. Great for prototyping and lightweight generation.
What needs improvement
I need more on the history pages, a section when we can re-edit the input/process/output with easy UX. Basically, better handling of edge cases without extra prompting
vs Alternatives
I choose Qwen because it’s fast, lightweight, and great for turning ideas into simple, working code or websites. It was also the first web-based tool I explored for code generation, which made it easy to start prototyping right away.
Great launch! Qwen has been incredibly useful, especially when I reach a point where other AI services can no longer technically deliver what I need. I’m also excited to see it matching the “big players” in benchmark results. 2026 is shaping up to be very interesting.
I’ve been trying Qwen alongside GPT-4o, and honestly it feels great — it’s noticeably faster and cheaper, yet most of the time the answer quality is hard to tell apart. For quick everyday tasks, I barely notice any trade-offs, which makes it a super practical choice.
Flowtica Scribe
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!