Join waitlist
Back to products
Qwen2.5-Omni

Qwen2.5-Omni

The end-to-end model powering multimodal chat

Website github.com
Overview

What it is

Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, Understands text, images, audio & video; generates text & natural streaming speech.

Intent

I need it when

Run advanced AI models on resource-constrained edge devices and local infrastructure

Qwen2.5-Omni offers 3B and 7B parameter versions with 4-bit quantized variants (GPTQ-Int4/AWQ) that reduce GPU VRAM consumption by over 50% while maintaining performance, enabling deployment on edge devices and local systems without expensive cloud infrastructure

Deploy real-time conversational AI with natural speech generation capabilities

Qwen2.5-Omni features real-time voice and video chat architecture with natural and robust speech generation that surpasses existing alternatives, supporting chunked input and immediate output for fully interactive conversational experiences

Build multimodal AI applications that process text, audio, images, and video inputs simultaneously

Qwen2.5-Omni is an end-to-end multimodal model that seamlessly processes diverse inputs including text, images, audio, and video while generating text and natural speech responses in streaming mode, enabling developers to create comprehensive AI applications without switching between specialized models

Integrate open source AI models into custom applications with full control and transparency

Qwen2.5-Omni is available as open source on GitHub, Hugging Face, and ModelScope with Apache-2.0 license, allowing developers to download, modify, and deploy the model directly in their applications with complete transparency and no vendor lock-in

Achieve state-of-the-art performance on multimodal understanding and reasoning tasks

Qwen2.5-Omni ranks first among open source models on MMSU benchmark and MMAU leaderboard, achieving state-of-the-art performance on OmniBench and excelling across audio understanding, image reasoning, video understanding, and speech generation tasks

Drop

Not a fit when

  • User requires proprietary closed-source model with vendor support contracts
  • User needs commercial SaaS API with managed hosting and guaranteed uptime SLAs
  • User lacks GPU infrastructure or technical expertise to deploy and run models locally
  • User requires real-time inference at scale without managing compute resources
  • User needs model fine-tuning with vendor-provided training infrastructure and support
Commercials

Pricing

Open source model; free to download and use