Qwen3 Omni: The First Natively End-to-End Omni-Modal AI
Qwen3-Omni unifies text, image, audio & video in one model β Experience the power of Qwen3 Omni without modality trade-offs!
What Developers Are Saying About Qwen3 Omni
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"Qwen3 Omni Changes the AI Landscape"
"The Chinese are going to end up owning the AI market if American labs don't compete on open weights. I have two 3090s at home running Qwen3 Omni tied into my Home Assistant with ESP32 devices as voice satellites. Qwen3-Omni works shockingly well!"
"Better Than GPT-4o for Voice"
"I love how Qwen3 Omni sounds - it is better than GPT 4o for me. The real-time streaming with Qwen3-Omni is impressive. Good job on making this model!"
"SOTA Performance Confirmed"
"Qwen3 Omni finally! More than half a year since Qwen2.5-Omni. Qwen3-Omni achieves extraordinary performance on audio understanding, audio-video understanding, and audio generation. This might bring changes to the opensource Omni models landscape!"
"Running Qwen3-Omni Locally"
"I'm running Qwen3 Omni Q3-Next on my MBP and seeing ~GPT4.1 performance. Impressive what these local Qwen3-Omni models are now capable of. The community has been waiting for this!"
"Revolutionary Architecture"
"The Qwen3 Omni thinker/speaker architecture is fascinating. Qwen3-Omni maps pictures, text, and sound to the same concept without going to text first - more in line with how human multi-modality works!"
"3 Models Released!"
"3 Qwen3 Omni models have been released! Qwen3-Omni-30B-A3B-Instruct, Qwen3-Omni-30B-A3B-Thinking, and Qwen3-Omni-30B-A3B-Captioner. The wait for Qwen3 Omni was worth it!"
"Perfect for Language Learning"
"Qwen3 Omni seems like a big win for language learning. Also seems possible to run Qwen3-Omni locally, especially once the unsloth guys get their hands on it."
"Finally, True Omni-Modal AI"
"The real point of leverage for Qwen3 Omni is performance/size. Qwen3-Omni forces innovation on efficiency. When would 8x 30B Qwen3 Omni models outperform 1x 240B model?"
Qwen3 Omni Performance Metrics
119
Text Languages in
Qwen3-Omni
211ms
Qwen3 Omni
Audio Latency
30min
Audio Understanding
with Qwen3-Omni
22/36
SOTA Benchmarks
Qwen3 Omni Wins
Key Features of Qwen3 Omni
π Qwen3 Omni Multilingual Excellence
Qwen3-Omni supports 119 text languages, 19 speech input languages, and 10 speech output languages. Qwen3 Omni includes English, Chinese, Korean, Japanese, German, Russian, Italian, French, Spanish, and Portuguese, making Qwen3-Omni truly global.
β‘ Qwen3-Omni Real-Time Performance
Qwen3 Omni achieves ultra-low latency of 211ms in audio-only scenarios and 507ms in audio-video scenarios. This makes Qwen3-Omni perfect for natural real-time interactions where Qwen3 Omni responds instantly.
π Qwen3 Omni State-of-the-Art Results
Qwen3-Omni reaches SOTA on 22 of 36 audio/video benchmarks and open-source SOTA on 32 of 36. Qwen3 Omni outperforms Gemini 2.5 Pro and GPT-4o in key metrics, establishing Qwen3-Omni as the leader.
π― Qwen3-Omni Novel Architecture
Qwen3 Omni's MoE-based ThinkerβTalker design with AuT pretraining provides strong general representations. The multi-codebook design in Qwen3-Omni drives latency to a minimum while Qwen3 Omni maintains quality.
π§ Qwen3 Omni Tool Calling Support
Native function calling capabilities in Qwen3-Omni enable seamless integration with external tools and services. Build powerful AI agents with Qwen3 Omni for enterprise applications using Qwen3-Omni's robust API.
π¨ Flexible Qwen3-Omni Customization
Freely adapt Qwen3 Omni response styles, personas, and behavioral attributes via system prompts. Qwen3-Omni provides fine-grained control for developers to customize Qwen3 Omni for specific use cases.
Qwen3 Omni Model Capabilities
Qwen3-Omni Audio Processing
β’ Qwen3 Omni Speech Recognition (ASR)
β’ Qwen3-Omni Speech Translation
β’ Qwen3 Omni Music Analysis
β’ Qwen3-Omni Sound Analysis
β’ Qwen3 Omni Audio Captioning
β’ 30-minute audio with Qwen3-Omni
Qwen3 Omni Visual Understanding
β’ Qwen3-Omni Complex OCR
β’ Qwen3 Omni Object Detection & Grounding
β’ Qwen3-Omni Image Question Answering
β’ Qwen3 Omni Mathematical Problem Solving
β’ Qwen3-Omni Video Description
β’ Scene Analysis in Qwen3 Omni
Qwen3-Omni Audio-Visual Integration
β’ Qwen3 Omni Audio-Visual Q&A
β’ Qwen3-Omni Interactive Communication
β’ Qwen3 Omni Temporal Alignment
β’ Qwen3-Omni Multi-modal Dialogue
β’ Qwen3 Omni Agent Function Calling
β’ Real-time Qwen3-Omni Streaming
Qwen3 Omni Resources & Documentation
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About Qwen3 Omni
Qwen3 Omni (Qwen3-Omni) represents a breakthrough in AI technology as the first natively end-to-end omni-modal foundation model. Developed by the Qwen team at Alibaba Cloud, Qwen3-Omni seamlessly processes text, images, audio, and video inputs while delivering real-time streaming responses in both text and natural speech. Qwen3 Omni sets new standards for multimodal AI.
With its innovative Thinker-Talker architecture, Qwen3 Omni achieves unprecedented performance across modalities without degradation. The multi-codebook design in Qwen3-Omni delivers responses with ultra-low latency, making Qwen3 Omni ideal for real-time applications and interactive AI systems.
Qwen3-Omni is available in multiple variants: Qwen3-Omni-30B-A3B-Instruct (with both thinker and talker components for full Qwen3 Omni capabilities), Qwen3-Omni-30B-A3B-Thinking (with chain-of-thought reasoning for complex Qwen3 Omni tasks), and Qwen3-Omni-30B-A3B-Captioner (specialized Qwen3 Omni model for audio captioning). Each Qwen3-Omni model offers flexibility for various use cases while maintaining open-source accessibility.
The developer community has embraced Qwen3 Omni with enthusiasm. From Hacker News discussions with hundreds of points to Reddit threads with thousands of upvotes, developers worldwide are praising Qwen3-Omni's capabilities. Many are successfully running Qwen3 Omni on consumer hardware, integrating Qwen3-Omni into home automation systems, and building next-generation applications with Qwen3 Omni.