Nano Banana vs GPT Image: Compare Models for Your Own Work
Compare the same prompts, editing inputs, outputs, and credit costs without assuming a universal winner.

Nano Banana and GPT Image variants can be used for image generation and supported reference editing. Rather than declaring one universally faster or better, compare them on your actual project.
Use the same conditions
Check available variants in the image workspace. Use the same prompt, ratio, and reference image, and record the credit cost shown before generation.
Review subject and composition accuracy, text and materials, reference consistency, editing instructions, and actual time and credits used. This article does not contain a controlled benchmark establishing either model's superiority.
Reference-photo editing
Try product edits, background changes, or visual variations. Adding an image switches to the matching edit variant when the model supports it. Models can differ in reference limits and supported editing controls.
Use welcome credits carefully
New accounts receive 500 credits valid for 7 days. Check your available balance and each model's cost before running a small comparison.
Save the results and prompts that suit your style in the workspace, rather than treating one model as the winner for every task.