Tongyi Qianwen is a large-scale language model that supports input in various languages, including Chinese and English.

Tongyi Qianwen Plus is an enhanced version of the large-scale language model, supporting input in various languages, including Chinese and English.

Tongyi Qianwen Max is a large-scale language model with hundreds of billions of parameters, supporting input in various languages, including Chinese and English. It is the API model behind the current Tongyi Qianwen 2.5 product version.

Qwen is a large-scale language model that supports long text contexts and dialogue capabilities based on long documents and multiple documents.

Tongyi Qianwen's large-scale visual language model enhanced version. Significantly improves detail recognition and text recognition capabilities, supporting ultra-high pixel resolution and images of any aspect ratio.

Tongyi Qianwen's ultra-large-scale visual language model. Compared to the enhanced version, it further improves visual reasoning and instruction-following abilities, providing a higher level of visual perception and cognition.

The Tongyi Qianwen OCR is a proprietary model for text extraction, focusing on the ability to extract text from images of documents, tables, exam papers, and handwritten text. It can recognize multiple languages, currently supporting: Chinese, English, French, Japanese, Korean, German, Russian, Italian, Vietnamese, and Arabic.

The Tongyi Qianwen Math model is specifically designed for solving mathematical problems.

The Tongyi Qianwen Math model is specifically designed for solving mathematical problems.

The Tongyi Qianwen Coder model.

Tongyi Qianwen code model.

The QwQ model is an experimental research model developed by the Qwen team, focusing on enhancing AI reasoning capabilities.

The QVQ model is an experimental research model developed by the Qwen team, focusing on enhancing visual reasoning capabilities, particularly in the field of mathematical reasoning.

qwen2.5-7b-instruct.description

qwen2.5-14b-instruct.description

qwen2.5-32b-instruct.description

qwen2.5-72b-instruct.description

qwen2.5-14b-instruct-1m.description

qwen2.5-math-7b-instruct.description

qwen2.5-math-72b-instruct.description

qwen2.5-coder-7b-instruct.description

qwen2.5-coder-32b-instruct.description

Initialized with the Qwen-7B language model, this pre-trained model adds an image model with an input resolution of 448.

Qwen VL supports flexible interaction methods, including multi-image, multi-turn Q&A, and creative capabilities.