Comparing ChatGPT Image and Nano Banana Pro Across 5 Use Cases

This guide shows you how to compare Google’s Nano Banana Pro with ChatGPT’s image generation model across a consistent set of use cases. You’ll build a reusable comparison matrix, run the same prompts through each model, and score the results across consistency, creativity, utility, and quality. The example test uses five use cases and generates 4 images per model.

The source comparison also includes Google’s advanced image generation tool in AI Studio as an optional test.

• Business owners who want to automate asset creation
• Graphic designers using AI for designs
• Anyone who wants to generate better AI photos

You’ll create a reusable model-comparison workflow and scoring matrix that can be used for future image model tests.

• A set of image-generation use cases
• Structured prompts for each use case
• A scoring matrix for consistency, creativity, utility, quality, and overall rating
• A repeatable process for comparing ChatGPT Image, Nano Banana Pro, and optionally AI Studio

• Gemini Pro account
• Free or paid ChatGPT account
• Optional: Google Workspace account with billing enabled for AI Studio
• Optional: Notion template for your rating matrix

• Try a few of the use cases with your own brand in both ChatGPT Image and Nano Banana Pro.
• Use ChatGPT or Gemini to interview you about your brand and turn the answers into 1–3 image prompt variations.
• Ask for variations in a 4x4 grid, then generate the best result by itself once you find one you like.