Alibaba Unveils Qwen3.5-Omni, Delivering Top-Tier Cross-Modal Performance
China’s leading AI models are rapidly evolving from followers to pioneers in multimodal interaction.
On March 30, Alibaba unveiled the next-generation multimodal large model, Qwen3.5-Omni. Leveraging a hybrid attention MoE architecture, this model enables seamless input and output across images, videos, audio, and text, positioning domestic large models at the global forefront of audio-visual interaction.

Comprehensive Capability: 215 Tasks Mastered, Outperforming Gemini
In key metrics measuring the overall strength of large models, Qwen3.5-Omni has demonstrated exceptional performance:
SOTA Leadership: Across 215 test cases covering audio-video understanding, recognition, and interaction, the model achieved state-of-the-art (SOTA) results.
Superior Performance: In benchmarks like DailyOmni and QualcommInteractive, which focus on audio-visual interaction, its scores significantly surpassed Google’s Gemini-3.1Pro.
Robust Noise Resistance: In the WenetSpeech test conducted in noisy environments, its recognition accuracy was remarkably high, with an error rate far lower than that of competitors.
Interactive Innovation: 113 Languages Supported and "Speak-to-Code" Programming
Qwen3.5-Omni is not only smarter but also adept at understanding "dialects" and "code":
Language Versatility: It supports the recognition of 113 languages and dialects, accurately handling rare languages such as Maori and Hainan dialect.
Vibe Coding Evolution: It ushers in a new era of audio-video programming. Users simply need to open the camera and describe their requirements, and the model can directly generate product prototype interfaces with complex UI, truly achieving "what you say is what you get."
Productivity Boost: 10-Hour Audio Long-Term Understanding
For professional fields, the new model offers powerful structured processing capabilities:
Deep Video Analysis: It can finely decompose the main subject of the image, relationships between people, and emotional fluctuations.
Automatic Segmentation: It supports over 10 hours of audio input and can automatically complete video chapter segmentation and timestamp annotation, significantly improving content creation efficiency.
Inclusive Ecosystem: Price is Just One-Tenth of Gemini
The Alibaba Cloud Bailian platform has simultaneously launched three APIs: Plus, Flash, and Light, aiming to provide the most cost-effective solution for enterprises:
Extremely Low Cost: The input cost per million Tokens is less than 0.8 yuan, costing less than one-tenth of Gemini-3.1Pro.
Market Leadership: Currently, Qwen has served over one million customers and remains the top choice in the enterprise-level large model call market in China.
Conclusion: From "Understanding Text" to "Perceiving the World"
The release of Qwen3.5-Omni
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China’s leading AI models are rapidly evolving from followers to pioneers in multimodal interaction.
On March 30, Alibaba unveiled the next-generation multimodal large model, Qwen3.5-Omni. Leveraging a hybrid attention MoE architecture, this model enables seamless input and output across images, videos, audio, and text, positioning domestic large models at the global forefront of audio-visual interaction.

Comprehensive Capability: 215 Tasks Mastered, Outperforming Gemini
In key metrics measuring the overall strength of large models, Qwen3.5-Omni has demonstrated exceptional performance:
SOTA Leadership: Across 215 test cases covering audio-video understanding, recognition, and interaction, the model achieved state-of-the-art (SOTA) results.
Superior Performance: In benchmarks like DailyOmni and QualcommInteractive, which focus on audio-visual interaction, its scores significantly surpassed Google’s Gemini-3.1Pro.
Robust Noise Resistance: In the WenetSpeech test conducted in noisy environments, its recognition accuracy was remarkably high, with an error rate far lower than that of competitors.
Interactive Innovation: 113 Languages Supported and "Speak-to-Code" Programming
Qwen3.5-Omni is not only smarter but also adept at understanding "dialects" and "code":
Language Versatility: It supports the recognition of 113 languages and dialects, accurately handling rare languages such as Maori and Hainan dialect.
Vibe Coding Evolution: It ushers in a new era of audio-video programming. Users simply need to open the camera and describe their requirements, and the model can directly generate product prototype interfaces with complex UI, truly achieving "what you say is what you get."
Productivity Boost: 10-Hour Audio Long-Term Understanding
For professional fields, the new model offers powerful structured processing capabilities:
Deep Video Analysis: It can finely decompose the main subject of the image, relationships between people, and emotional fluctuations.
Automatic Segmentation: It supports over 10 hours of audio input and can automatically complete video chapter segmentation and timestamp annotation, significantly improving content creation efficiency.
Inclusive Ecosystem: Price is Just One-Tenth of Gemini
The Alibaba Cloud Bailian platform has simultaneously launched three APIs: Plus, Flash, and Light, aiming to provide the most cost-effective solution for enterprises:
Extremely Low Cost: The input cost per million Tokens is less than 0.8 yuan, costing less than one-tenth of Gemini-3.1Pro.
Market Leadership: Currently, Qwen has served over one million customers and remains the top choice in the enterprise-level large model call market in China.
Conclusion: From "Understanding Text" to "Perceiving the World"
The release of Qwen3.5-Omni
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