Summary
This video puts Nano Banana 2.1 and GPT Image 2.5, described as the two leading image models, through nine identical tests to find out which suits which kind of project. Both models receive the same prompts, reference photos, formats and maximum resolution, with a running score tracked throughout. The tests run on the OpenArt platform.
The early rounds focus on posters and flyers, testing text rendering. GPT Image 2.5 generally produces cleaner layouts and more intentional design, though it sometimes adds unrequested text, while Nano Banana spells accurately but falls behind on fonts and layout. The presenter also reports that GPT renders roughly seven to ten times slower and costs about five times more per image.
Later rounds cover thumbnails and carousel covers built from selfies, where identity consistency matters, multi-step photo edits, and product photography based on a handmade mug. GPT is stronger for single big changes and product fidelity, while Nano Banana holds up better across multiple sequential edits on the same person. The takeaway is that the best model depends on the use case, making this a practical guide for creators, marketers and online sellers.
📺 Source: Youri van Hofwegen · Published October 09, 2026
🏷️ Format: Comparison
