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Average Ratings 0 Ratings
Description
Qwen3-Omni is a comprehensive multilingual omni-modal foundation model designed to handle text, images, audio, and video, providing real-time streaming responses in both textual and natural spoken formats. Utilizing a unique Thinker-Talker architecture along with a Mixture-of-Experts (MoE) framework, it employs early text-centric pretraining and mixed multimodal training, ensuring high-quality performance across all formats without compromising on text or image fidelity. This model is capable of supporting 119 different text languages, 19 languages for speech input, and 10 languages for speech output. Demonstrating exceptional capabilities, it achieves state-of-the-art performance across 36 benchmarks related to audio and audio-visual tasks, securing open-source SOTA on 32 benchmarks and overall SOTA on 22, thereby rivaling or equaling prominent closed-source models like Gemini-2.5 Pro and GPT-4o. To enhance efficiency and reduce latency in audio and video streaming, the Talker component leverages a multi-codebook strategy to predict discrete speech codecs, effectively replacing more cumbersome diffusion methods. Additionally, this innovative model stands out for its versatility and adaptability across a wide array of applications.
Description
Wan2.2 marks a significant enhancement to the Wan suite of open video foundation models by incorporating a Mixture-of-Experts (MoE) architecture that separates the diffusion denoising process into high-noise and low-noise pathways, allowing for a substantial increase in model capacity while maintaining low inference costs. This upgrade leverages carefully labeled aesthetic data that encompasses various elements such as lighting, composition, contrast, and color tone, facilitating highly precise and controllable cinematic-style video production. With training on over 65% more images and 83% more videos compared to its predecessor, Wan2.2 achieves exceptional performance in the realms of motion, semantic understanding, and aesthetic generalization. Furthermore, the release features a compact TI2V-5B model that employs a sophisticated VAE and boasts a remarkable 16×16×4 compression ratio, enabling both text-to-video and image-to-video synthesis at 720p/24 fps on consumer-grade GPUs like the RTX 4090. Additionally, prebuilt checkpoints for T2V-A14B, I2V-A14B, and TI2V-5B models are available, ensuring effortless integration into various projects and workflows. This advancement not only enhances the capabilities of video generation but also sets a new benchmark for the efficiency and quality of open video models in the industry.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AIReel
No
ComfyUI
No
ConvNetJS
Yes
Fuser
No
GPT-4o
Yes
Gemini 2.5 Pro
Yes
Gemini 2.5 Pro Deep Think
Yes
Gemini 3 Deep Think
Yes
Hermes Agent
Yes
Lucy Edit AI
No
Integrations
AIReel
Yes
ComfyUI
Yes
ConvNetJS
No
Fuser
Yes
GPT-4o
No
Gemini 2.5 Pro
No
Gemini 2.5 Pro Deep Think
No
Gemini 3 Deep Think
No
Hermes Agent
No
Lucy Edit AI
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai/blog
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
wan.video