Nano Banana 2 vs Nano Banana Pro: which image model to choose?

Understand the model names

Nano Banana 2 and Nano Banana Pro are separate image models, not settings for the Gemini chat model. The word “Pro” is not proof that every image will be better. Google’s model-selection guide is the source for the positioning above.

For a fair comparison, record the exact model name and settings in the interface you use. A tool that simply says “AI image” may not reveal which model generated the result. Do not label that result as either Nano Banana model without confirmation.

Google: Nano Banana model selection · Google: Gemini 3.1 Flash Image

Compare a product photograph

Use one source image of a product you own and request a single background change. Judge the shape, label, colour and material before the atmosphere. A beautiful result that changes a bottle cap or invents a label is not a faithful product edit.

Use the same crop and reference image in both tests. Check the output at its actual display size and zoom in on fine details. Keep a record of failed attempts as well as attractive results.

Edit the supplied product photo. Keep the product shape, label lettering, colours and material unchanged. Replace only the background with a warm neutral studio setting and a soft contact shadow. Do not add accessories, badges or new text. Keep the entire product visible.

Compare exact text on a poster

Give both models the same short headline and composition. Inspect every letter, then check contrast and whether the result remains readable on a phone. A result that looks plausible at a glance can contain altered words.

Avoid asking for many changes at once. Start with one headline, one subject and one background. If the text needs manual finishing, record that work instead of counting the first attractive image as complete.

Create a square poster for an imaginary neighbourhood coffee event. The only text must be exactly: “COFFEE WEEK”. Place the headline in the upper third, a ceramic cup below, and use a cream and dark-brown palette. Keep the letters distinct and readable at small size. Add no logos or extra words.

Compare an edit that preserves a person

Use a photo you have permission to edit. Ask for one change, such as warmer lighting, while preserving identity, pose and expression. Compare facial proportions and hairline before judging how flattering the result looks.

A model may subtly change the person while following the lighting request. Check the original side by side, especially the eyes, jaw, skin texture and clothing. If identity changes, reject that attempt rather than treating it as a successful enhancement.

Edit this portrait by making the lighting slightly warmer. Preserve the person’s identity, facial proportions, expression, age, hairstyle, clothes and pose. Keep natural skin texture. Do not reshape the face, smooth away distinctive features or change the background.

What you can do in GO AI

GO AI Web’s Lab lets you browse image styles and prepare a prompt. The reviewed image workflow then hands you to the mobile app. We have not verified that either Nano Banana 2 or Nano Banana Pro is selectable in GO AI, so the Lab link is not a promise to run these exact models.

Use the briefs above to make your requirements clear wherever you generate images. In GO AI, explore the relevant image workflow and confirm the available options in the app before starting. Premium and payment remain in the app.

A practical decision rule

Choose the output that passes your non-negotiable checks: correct product, exact text or preserved identity. Among the passing results, compare how many retries and manual corrections were needed.

Keep the same source material and requirements across attempts. If you change the prompt for only one model, label it as a separate trial. This article supplies a method and prompt templates, not a measured speed ranking or proof of superiority.

Common questions

Sources and scope

• Google: Nano Banana model selection
• Google: Gemini 3.1 Flash Image