Have you ever wondered how different AI models would respond to the same prompt? I recently gave the same prompt to GPT4o (the enterprise version) and GPT 5 (the free one) and used their outputs to generate images. The results were fascinating.
The prompt was to generate a prompt that would get an LLM to produce an image exactly inch and pixel perfect. GPT4o resulted in a highly detailed prompt that specified every aspect of the image, from the cricket player’s pose to the lighting and shadows. On the other hand, GPT 5’s prompt was more concise and focused on the overall scene.
What’s striking is how different their generated images are. GPT4o’s image is more realistic, with finer details and textures. GPT 5’s image, while still impressive, has a more stylized look.
This experiment highlights the unique strengths and weaknesses of each model. GPT4o’s attention to detail makes it ideal for tasks that require precision, while GPT 5’s ability to capture the essence of a scene makes it better suited for more creative tasks.
The possibilities of AI-generated images are endless, and experiments like these help us understand the capabilities and limitations of these models.