Nano Banana 2 vs GPT Image 2 is a choice between a compositor and an instruction-taker, and the price gap is not the deciding factor even though it looks like one. GPT Image 2 costs 10 credits for a 1K image against 20 for Nano Banana 2 on the same Kavel balance — but Nano Banana 2 accepts up to 14 reference photos in a single run, and GPT Image 2 accepts the one image you hand it.
Pick Nano Banana 2 when several photos have to become one composition, when references should carry identity or style, or when the prompt itself is long — it takes up to 20,000 characters.
Pick GPT Image 2 when the edit is a described change to one picture, and when you want to test four phrasings without thinking about the bill.
The cost gap is a flat 1.5–2×. Choose on what the job is, not on the number.
Last updated: August 2026.
What Nano Banana 2 and GPT Image 2 cost per image
Nano Banana 2 and GPT Image 2 both bill per image, at three sizes, on one balance. That makes Nano Banana 2 vs GPT Image 2 the rare comparison where price is genuinely easy to read.
| Output size | GPT Image 2 | Nano Banana 2 | Gap |
|---|---|---|---|
| 1K | 10 credits | 20 credits | 2.0× |
| 2K | 15 credits | 30 credits | 2.0× |
| 4K | 30 credits | 45 credits | 1.5× |
Rates for Nano Banana 2 and GPT Image 2 are read from Kavel's live pricing page. GPT Image 2 runs at this model's low-quality tier here, and the credit estimate is computed from the tier the request actually asks for, so the number shown before you generate is the number the run costs.
Why the flat gap makes the price irrelevant
A constant multiplier across every size means there is no crossover to hunt for and no tier where the answer flips. Whatever you were going to spend, GPT Image 2 costs roughly half of it and Nano Banana 2 costs roughly twice — at 1K, at 2K, and near enough at 4K.
At those magnitudes — ten credits, twenty credits — the decision is never rescued by picking the cheap one. It is decided by whether the model can do the job at all, which is what the rest of this Nano Banana 2 vs GPT Image 2 comparison is about.
Where a cheaper model than Nano Banana 2 does matter
Iteration. At a few credits per 1K image on GPT Image 2, testing four phrasings of the same idea becomes an ordinary thing to do rather than a budget decision. If your bottleneck is wording rather than inputs, the cheaper model is the better instrument, and you can move the settled prompt to Nano Banana 2 afterwards without rewriting it.
What Nano Banana 2 and GPT Image 2 actually do
Nano Banana 2: fourteen references in one run
Nano Banana 2 is Google's Gemini image model for generating and editing images. On top of text-to-image it takes up to 14 reference photos, so editing, combining and style transfer all happen in a single run — which is where it pulls ahead of a plain prompt box.
That is the Nano Banana 2 capability GPT Image 2 has no equivalent for. Polishing one clean shot and merging several photos into one composition are both in scope for Nano Banana 2, and prompts run to 20,000 characters when a scene needs the detail. Nano Banana 2 output comes at 1K, 2K or 4K in PNG or JPEG.
If your job description contains the word "and" — this product and this background and this lighting — you are describing a Nano Banana 2 job. GPT Image 2 edits the picture in front of it.
GPT Image 2: the instruction is the interface
GPT Image 2 is OpenAI's image model. It renders from a written prompt and edits an image you supply when you describe the change rather than mask it by hand. There is no mask to draw and no layer to manage.
Describing a change works well when the change is about content — a colour, an object, a background. Its own model page is direct about where that stops: it is the wrong tool when you need a precise region left untouched to the pixel, because nothing here draws a mask for you.
The honest boundary between them
Nano Banana 2 is the better choice when identity has to survive the edit, because references are what carry identity, and it can hold fourteen of them. GPT Image 2 is the better choice when the instruction is simple and you would rather type it than assemble it.
Neither Nano Banana 2 nor GPT Image 2 is a general upgrade over the other, which is why running both on one balance is the practical setup rather than a compromise.
Failed generations are refunded automatically on Kavel, unless the run broke the content policy, and the estimate for your resolution and photo count shows before you generate.
Choose Nano Banana 2 over GPT Image 2 if…
- Several photos need to become one composition, which is the Nano Banana 2 case exactly.
- References should carry identity, wardrobe, or a colour key through the edit.
- Your prompt is long and specific — up to 20,000 characters is in scope.
- You want a 4K finish from the same Nano Banana 2 run that made the draft.
Choose GPT Image 2 over Nano Banana 2 if…
- The edit is one described change to one picture, with none of the Nano Banana 2 reference machinery needed.
- You are testing wording and want each attempt to cost a few credits.
- You want a large final render without switching tools.
There is a cheaper third option worth naming: Nano Banana 2 Lite is a flat 20 credits at any resolution and is the everyday editing tier here — use Nano Banana 2 Lite to draft, then move up to the full Nano Banana 2 when you need several reference photos or 2K and 4K detail. Run any of them now — the estimate shows before you generate.
FAQ: Nano Banana 2 vs GPT Image 2
Is Nano Banana 2 or GPT Image 2 cheaper?
GPT Image 2, at every size: 10 credits at 1K against 20 for Nano Banana 2, 15 against 30 at 2K, and 30 against 45 at 4K.
How many reference images can Nano Banana 2 take?
Nano Banana 2 takes up to 14 in a single run, which is what makes composites and style transfer possible in one generation. GPT Image 2 edits the single image you supply.
Can GPT Image 2 edit a photo without a mask?
Yes — you describe the change instead of masking it. That works well for content edits like a colour, an object or a background, and poorly when a region has to stay untouched to the pixel.
Which model is better for product photos?
Nano Banana 2, if the shot is assembled from several sources — a product photo plus a background plus a lighting reference. GPT Image 2 is better when you have one usable photo and one change to make.
Do both models do 4K?
Yes, both do. Nano Banana 2 outputs 1K, 2K or 4K in PNG or JPEG; GPT Image 2 offers the same three sizes as separate rates.
Do I need two subscriptions to use Nano Banana 2 and GPT Image 2?
No. Nano Banana 2 and GPT Image 2 draw on one Kavel credit balance alongside the video models, so switching is a dropdown rather than a second bill.
Resources
- Nano Banana 2 on Kavel — the Nano Banana 2 14-reference workflow and output options.
- GPT Image 2 on Kavel — the tier that runs here, and where described editing stops.
- Kavel pricing — the per-model credit table these numbers are read from.
