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.
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.
On the analytics side, Qwen3-Omni competes within Open Source, Artificial Intelligence and Audio — topics that collectively have 536.5k followers on Product Hunt. The dashboard above tracks how Qwen3-Omni performed against the three products that launched closest to it on the same day.
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.
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.