qwen-turbo-latest.description

qwen-plus-latest.description

qwen-max-latest.description

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.

qwen-vl-ocr-latest.description

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.

qwen-coder-plus-latest.description

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.