ModelScope

ModelScope

Alibaba Cloud
Qwen3-Omni

Qwen3-Omni

Alibaba
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About

This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. The text-to-video generation diffusion model consists of three sub-networks: text feature extraction, text feature-to-video latent space diffusion model, and video latent space to video visual space. The overall model parameters are about 1.7 billion. Support English input. The diffusion model adopts the Unet3D structure, and realizes the function of video generation through the iterative denoising process from the pure Gaussian noise video.

About

Qwen3-Omni is a natively end-to-end multilingual omni-modal foundation model that processes text, images, audio, and video and delivers real-time streaming responses in text and natural speech. It uses a Thinker-Talker architecture with a Mixture-of-Experts (MoE) design, early text-first pretraining, and mixed multimodal training to support strong performance across all modalities without sacrificing text or image quality. The model supports 119 text languages, 19 speech input languages, and 10 speech output languages. It achieves state-of-the-art results: across 36 audio and audio-visual benchmarks, it hits open-source SOTA on 32 and overall SOTA on 22, outperforming or matching strong closed-source models such as Gemini-2.5 Pro and GPT-4o. To reduce latency, especially in audio/video streaming, Talker predicts discrete speech codecs via a multi-codebook scheme and replaces heavier diffusion approaches.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users interested in an open source text-to-video AI video generation model

Audience

Developers, researchers, and organizations seeking a solution to understand and generate across multiple modalities (text, image, audio, video) in many languages, with low latency and strong performance

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Alibaba Cloud
China
modelscope.cn/

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

Alternatives

Alternatives

Qwen3.5-Omni

Qwen3.5-Omni

Alibaba

Categories

Categories

Integrations

01.AI
CodeQwen
ConvNetJS
GLM-4.5
GPT-4o
Gemini 3 Deep Think
OpenClaw
Qwen-7B
Qwen2
Qwen2.5
Qwen2.5-1M
Qwen2.5-Coder
Qwen2.5-Max
Qwen2.5-VL
Qwen3
Qwen3.6
Qwen3.6-27B
Qwen3.6-35B-A3B
Qwen3.6-Max-Preview
Yi-Large

Integrations

01.AI
CodeQwen
ConvNetJS
GLM-4.5
GPT-4o
Gemini 3 Deep Think
OpenClaw
Qwen-7B
Qwen2
Qwen2.5
Qwen2.5-1M
Qwen2.5-Coder
Qwen2.5-Max
Qwen2.5-VL
Qwen3
Qwen3.6
Qwen3.6-27B
Qwen3.6-35B-A3B
Qwen3.6-Max-Preview
Yi-Large
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