qwen-turbo.description

qwen-plus.description

qwen-max.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.

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.

qwen2.5-7b-instruct.description

qwen2.5-14b-instruct.description

qwen2.5-32b-instruct.description

qwen2.5-72b-instruct.description

qwen2.5-math-1.5b-instruct.description

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

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

qwen2.5-coder-1.5b-instruct.description

qwen2.5-coder-7b-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.

Moonshot V1 8K is designed for generating short text tasks, featuring efficient processing performance, capable of handling 8,192 tokens, making it ideal for brief dialogues, note-taking, and rapid content generation.

Moonshot V1 32K offers medium-length context processing capabilities, able to handle 32,768 tokens, particularly suitable for generating various long documents and complex dialogues, applicable in content creation, report generation, and dialogue systems.

Moonshot V1 128K is a model with ultra-long context processing capabilities, suitable for generating extremely long texts, meeting the demands of complex generation tasks, capable of handling up to 128,000 tokens, making it ideal for research, academia, and large document generation.

The model is the best in the country, surpassing mainstream foreign models in Chinese tasks such as knowledge encyclopedias, long texts, and creative generation. It also boasts industry-leading multimodal capabilities, excelling in multiple authoritative evaluation benchmarks.