“Which image model is best?” is usually the wrong first question. The better question is: what needs to be true about this image when I am done?
For Nano Banana-style image editing, the choice is normally between a quicker, lower-cost route for exploration and a more deliberate pass when visual fidelity matters more. Product catalogs call these tiers different things over time, including Nano Banana 2 and Pro-style routes, but the workflow stays stable.
Choose the fast route for exploration
Start with the faster route when you are still deciding what the image should be:
- Background and scene ideas.
- Mood, color, lighting, or composition exploration.
- Social variations where the subject does not need forensic accuracy.
- A first pass that you will composite with original pixels anyway.
The mistake is treating the first attractive result as final. It is a direction. Save the original, bring the result in as a separate layer, and keep the part of it that earned its place.
Choose the more deliberate route for fidelity
Spend more when the output has to carry a detail the viewer will inspect:
- A hero product image, especially with a recognizable shape or mark.
- A portrait where identity and hands need to survive.
- A client-facing image with a specific art direction.
- A result that needs fewer rounds of manual reconstruction.
More expensive does not mean automatically more trustworthy. Check the details that matter to your use case at 100%: labels, fingers, transparent material, repeated patterns, type, and edges against the new background.
The real comparison is cost per usable result
The raw cost of one generation is only useful if you also count the cleanup it creates. A cheaper attempt that changes the product or destroys a glass edge can cost more in editing time than a better first pass. Conversely, paying for a high-fidelity image to make rough concepts is just throwing away useful iteration budget.
The practical pattern is simple:
- Explore at the lower-cost tier.
- Pick the direction that works.
- Run the higher-fidelity pass only on the chosen direction when it earns it.
- Finish in layers, with the original available underneath.
That is why PhotoFresco pairs AI generation with a real browser editor. The model gives you candidates; layers, masks and selections turn one candidate into a controlled file.
A note on “Pro” labels
Provider catalog names are not a benchmark. They can describe resolution, latency, model version, routing, or simply product packaging. Read the model’s current per-image credit price in the app and judge it against the job in front of you. Do not assume that a “Pro” label buys perfect identity preservation or a clean cutout.
For a visual side-by-side on difficult source images, including a Nano Banana Lite row with actual receipt costs, see the background-removal Model Lab. The grid is deliberately not a universal ranking: hair, glass, spokes and product labels fail in different ways.