Nano Banana vs GPT-Image-2.5
These are the two image families most people on Labnana end up choosing between: Google’s Nano Banana and OpenAI’s GPT-Image-2.5. They overlap heavily — both run to 4K, both take the same prompt, both sit in the same model menu — so the useful question is not which is better but which is better at the thing you are doing right now.
The table below is read straight from each model’s page, so it stays honest as the models change. The three cases under it are where the two genuinely diverge.
Side by side
Every figure below is read from the two model pages, so it moves when the models do.
Which one to pick
Nano Banana
Legible in-frame typography is what this family is known for — posters, packaging, signage, UI mockups. OpenAI, by contrast, documents text placement and clarity as a standing limitation of the GPT Image family, so a poster with a headline in it is the one case where the choice is not close.
GPT-Image-2.5
OpenAI’s documentation for both 2.5 models leads with improvements in precise editing and subject preservation, which is exactly what “same character, new background” asks for. Reach for Sunburst rather than Flare when the edit has to land exactly.
Nano Banana
Its 2 tier is the only model here that goes past the usual range into 1:4, 4:1, 1:8 and 8:1 — see the aspect-ratio row. GPT-Image-2.5 stops at the standard ten ratios, so anything wider than 21:9 has to be cropped out of a smaller frame.
What each one produces
Frequently asked questions
Run the same prompt on both
They sit next to each other in the same model menu, so comparing them is a dropdown change rather than a second account.