Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
The native multimodal model from the Qwen3 series is here. My main focus has been on native voice capabilities, and this model is very impressive.
According to the official benchmarks, its performance in ASR, audio understanding, and voice conversation is on par with Google's Gemini 2.5 Pro. It also supports 119 languages.
You can experience the model's capabilities right now on Qwen Chat by enabling the voice (or video) mode.
Whether I’m using it on my phone or tablet, the app adapts perfectly to different screen sizes—no awkward formatting issues at all.
Wow this is clever! I’m really impressed by the Natural Language Understanding feature. How does it process complex queries to ensure the responses are accurate?
I've seen a lot of discussions about how frustrating it can be when AI just doesn't get what users are really asking. It seems like you've hit on a major pain point.
If you're looking to connect with users who are struggling with this, the conversations are already happening here. People definitely need a solution like yours!
Qianwen has always been one of the pioneers of open-source large models in China, which has also driven the rise of Alibaba's stock price.
About Qwen3-Omni on Product Hunt
“Native end-to-end multilingual omni-modal LLM”
Qwen3-Omni launched on Product Hunt on September 23rd, 2025 and earned 139 upvotes and 2 comments, placing #17 on the daily leaderboard. Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Qwen3-Omni was featured in Open Source (68.3k followers), Artificial Intelligence (466.2k followers) and Audio (2k followers) on Product Hunt. Together, these topics include over 100.9k products, making this a competitive space to launch in.
Who hunted Qwen3-Omni?
Qwen3-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-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!
The native multimodal model from the Qwen3 series is here. My main focus has been on native voice capabilities, and this model is very impressive.
According to the official benchmarks, its performance in ASR, audio understanding, and voice conversation is on par with Google's Gemini 2.5 Pro. It also supports 119 languages.
You can experience the model's capabilities right now on Qwen Chat by enabling the voice (or video) mode.