GPT-4o mini is the latest model released by OpenAI after GPT-4 Omni, supporting both image and text input while outputting text. As their most advanced small model, it is significantly cheaper than other recent cutting-edge models, costing over 60% less than GPT-3.5 Turbo. It maintains state-of-the-art intelligence while offering remarkable cost-effectiveness. GPT-4o mini scored 82% on the MMLU test and currently ranks higher than GPT-4 in chat preferences.

GPT 3.5 Turbo is suitable for various text generation and understanding tasks. Currently points to gpt-3.5-turbo-0125.

ChatGPT-4o is a dynamic model that updates in real-time to stay current with the latest version. It combines powerful language understanding and generation capabilities, making it suitable for large-scale applications, including customer service, education, and technical support.

o1-mini is a fast and cost-effective reasoning model designed for programming, mathematics, and scientific applications. This model features a 128K context and has a knowledge cutoff date of October 2023.

The latest GPT-4 Turbo model features visual capabilities. Now, visual requests can be made using JSON format and function calls. GPT-4 Turbo is an enhanced version that provides cost-effective support for multimodal tasks. It strikes a balance between accuracy and efficiency, making it suitable for applications requiring real-time interaction.

The latest GPT-4 Turbo model features visual capabilities. Now, visual requests can be made using JSON format and function calls. GPT-4 Turbo is an enhanced version that provides cost-effective support for multimodal tasks. It strikes a balance between accuracy and efficiency, making it suitable for applications requiring real-time interaction.

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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.

Qwen is a large-scale visual language model enhanced version. It significantly improves detail recognition and text recognition capabilities, supporting images with resolutions over one million pixels and any aspect ratio.

Qwen is a large-scale visual language model. Compared to the enhanced version, it further improves visual reasoning and instruction-following capabilities, providing higher levels 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.

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