What are the key differences between GPT-5 Mini and full GPT-5 in terms of vision capabilities?

The key differences between GPT-5 Mini and full GPT-5 in terms of vision capabilities are as follows:

1. Performance: It's noted that 'mini performs the same as main,' suggesting that GPT-5 Mini matches GPT-5 in performance across various tasks, including vision capabilities like object detection and image captioning^[4].

2. Architectural Features: GPT-5 is described as a 'proprietary, multimodal system supporting text and vision inputs,' and it features a larger context window of 400,000 tokens, which is beneficial for handling long documents and complex workflows. This specific detail about the extended context window does not apply to GPT-5 Mini^[3].

3. Comparative Testing: Users can run side-by-side tests for both models on tasks like OCR and other vision-related tasks in platforms like the Roboflow Playground, which allows for a direct performance comparison^[1][5].

In summary, while GPT-5 Mini may match the main model's performance in specific tasks, GPT-5 possesses additional advanced features beneficial for more complex applications.