Qwen can work with multiple types of information at the same time, including documents, spreadsheets, images, videos, and audio. It can combine and analyze these sources to provide insights, summaries, and reports. Qwen also supports both careful, step-by-step reasoning for complex problems and quick responses when speed is important. This makes it useful for analysis, research, planning, and operational decision-making.
Qwen
Qwen is a family of large language and multimodal models developed by Alibaba and made available to the global open-source and enterprise communities.
Multimodal AI designed for safe use at scale
Designed to support real-world decision-making and action, Qwen enables organizations and developers to analyze complex information, work across languages and data types, and deploy AI systems with a strong emphasis on safety, transparency, and control.
Features
Qwen is built to be practical for multinationals, startups, developers, and everyone in between. It can handle long documents, multiple languages, and structured data, making it easier to integrate into everyday workflows and ensure that information is accessible and useful. Qwen can be deployed on-premises, via Qwen’s official APIs, or via your organization’s own cloud, and fine-tuned with organization-specific data. Models range from lightweight options for cost-sensitive deployments to larger models for advanced reasoning, long-context analysis, and agentic workflows.
At Alibaba, we embed model governance throughout the entire model lifecycle—from initial design and research through development, training, deployment, and real-world application—ensuring responsible AI is built in by design, not added on as an afterthought. Our model governance is guided by our six principles for AI development, namely people-centricity, inclusion & integrity, privacy protection, safety and reliability, trustworthiness and controllability, and open co-governance. For specific model governance measures, please visit the Governance section on this website.
