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Qwen3-Omni Technical Report research paper by Alibaba (Qwen), 2025

Alibaba (Qwen) · Sep 22, 2025 · Foundation models · 501 citations · 155 upvotes · unverified

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What it shows

Qwen3-Omni, a multimodal model, achieves state-of-the-art performance across text, image, audio, and video, using a Thinker-Talker MoE architecture and a lightweight causal ConvNet for efficient streaming synthesis.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Jin Xu, Zhifang Guo, Hangrui Hu and 35 more
arXiv
2509.17765 · PDF
Venue
arXiv.org
Citations
501, 93 influential · Semantic Scholar
Upvotes
155 · Hugging Face
Code
github.com/QwenLM/Qwen3-Omni
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 93Sep 25, 2026
Citationsfirst count: 501Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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