Nano Banana 2 pricing starts near 7 cents an image, and that’s the number you should ignore. The price to track is cost per usable image, because tries and review time dwarf the model fee. Set a target size, count your keepers, and time the person doing the judging.
Generate 200 images at 6.7 cents and the model bills you $13.40. Pull 50 usable ones out of those 200 and the real cost is closer to $58. Nano Banana 2 pricing is a genuine cut, and Google’s page makes it look like the whole story. It isn’t. The other $44 is a person looking at rejects, and no price list will show you that line.
Key points
- What does Nano Banana 2 pricing look like? Nano Banana 2, also called Gemini 3.1 Flash Image, lists at $0.067 for a 1K image, $0.101 for 2K and $0.151 for 4K.
- What does a usable image really cost? Far more than the fee, once you count the person.
- Does output size change the answer? Yes, because a 4K image costs about 2.25 times a 1K one, since $0.151 is 2.25 times $0.067.
- What else comes with a cheaper image? Provenance marks and a preview label. Google says Nano Banana 2 images carry SynthID, paired with C2PA Content Credentials, with C2PA checking coming to the Gemini app soon.
What does Nano Banana 2 pricing look like?
Nano Banana 2, also called Gemini 3.1 Flash Image, lists at $0.067 for a 1K image, $0.101 for 2K and $0.151 for 4K. Nano Banana Pro lists at $0.134 for 1K or 2K and $0.24 for 4K. Batch processing halves Nano Banana 2, to $0.034 at 1K.
Those are the rates on Google’s pricing page as checked on October 8, 2026.
Google’s announcement calls it the company’s latest state-of-the-art image model but publishes no leaderboard or ranking figures, so quality is unmeasured here. We haven’t generated images with it, and we’ve seen no independent comparison.
The claim that Google undercuts its rivals by half needs a quality setting attached. OpenAI’s page for GPT Image 1.5 lists $0.133 at high quality and $0.034 at medium for a 1024 by 1024 image. Against high, Google is about half. Against medium, OpenAI matches Google’s batch price. (OpenAI’s page now marks that model deprecated, a later fact worth knowing if you’re comparing today.)
What does a usable image really cost?
Far more than the fee, once you count the person. Say you need 50 product images and one in four tries is usable, so you generate 200. At $0.067 that’s $13.40, which looks like nothing. Now add a person who spends 20 seconds judging each try at $40 an hour.
That’s about 22 cents a look, or roughly $44 across 200 looks.
The total comes to about $58, or $1.16 for each usable image. The model’s share is about 23% of that. Halving the model fee again would move the total by roughly $6.70, while cutting the number of tries from four per keeper to three would save about $14. The hit rate and the review time are the levers, and neither shows up on Google’s page. The one-in-four hit rate and the wage are our assumptions, not measurements.
Keep a simple log to find your own numbers: tries, keepers and seconds per look, for a week. By Friday you’ll have a hit rate and a review cost drawn from your own work, which will tell you more than any benchmark chart. Update it when the model or the brief changes, because both move the result.
So the question to ask a vendor, or your own designer, is how many tries it takes to get one keeper on your kind of picture. Product shots on a plain background may run far better than one in four. A branded scene with people in it may run worse. Measure it on twenty real briefs and the sum writes itself.
A cheap generator also rewards sloppiness, because rejecting an image costs pennies and reviewing it costs minutes. The sceptic says 7 cents is a rounding error and a team should generate lots of options and pick the best. For a designer making ten images a week, that’s right, and this whole analysis is overkill. Nobody needs a spreadsheet to justify 70 cents. It stops being right when images are made at volume by people who also have other jobs. Then the 200 looks are real hours, and the model fee is the line nobody argues about.
Does output size change the answer?
Yes, because a 4K image costs about 2.25 times a 1K one, since $0.151 is 2.25 times $0.067. If the picture is going on a web page or an Instagram post, 1K or 2K may be all you need, so decide the finished size before the first try.
Regenerating a chosen image at a larger size can produce a different picture, so check how your tool handles that before you promise a client a 4K version of the one they liked. Size is the third lever after hit rate and review time, and it’s the only one you can set in advance.
We made the same argument for text models in our column on Claude Sonnet 4.6 pricing per accepted task, and our guide to logging minutes saved per task shows how to capture review time.
What else comes with a cheaper image?
Provenance marks and a preview label. Google says Nano Banana 2 images carry SynthID, paired with C2PA Content Credentials, with C2PA checking coming to the Gemini app soon. It says SynthID verification in the Gemini app has been used over 20 million times. If your marketing policy requires disclosing AI images, those marks help.
Our column on AI video copyright and vendor contracts covers the contract side of using these tools commercially, and our guide to AI marketing platforms for Canadian businesses suggests testing one tool at a time. If you buy images to sell things, also watch ChatGPT image ads, which put your competitors inside the same chat.
Preview status matters for budgeting. Google describes access through AI Studio, the Gemini API and Vertex AI as a preview, and previews can change terms and prices. The model is the default in the Gemini app and in Flow, and it powers suggestions in Google Ads. Google’s post doesn’t mention Workspace, so don’t assume your team’s plan includes it.
Budget for the preview label on its own terms. A price that’s right today can be wrong at the next invoice, so write the date next to any number you put in a plan. Text models show the same gap, which is why an AI token price cut rarely shrinks the bill.
Prices move too. The figures above come from Google’s page on October 8, 2026, not from launch day, and we have no record of whether they changed in between. If your team’s hit rate turned out high enough, say nine in ten, tries and review time would shrink to almost nothing and the model fee would matter again.
Time ten of your own generations this week. Write down the tries per keeper and the seconds per look, and put them in the sum above.
Frequently asked questions
How much does Nano Banana 2 cost per image?
On Google’s API pricing page it lists at $0.067 for a 1K image, $0.101 for 2K and $0.151 for 4K. Batch processing halves those rates.
Is Nano Banana 2 cheaper than Nano Banana Pro?
Yes, about half. Nano Banana Pro lists at $0.134 for 1K or 2K images and $0.24 for 4K.
What is the real cost of AI images for a marketing team?
Staff time usually exceeds the model fee. In our illustration the fee was about 23% of the cost per usable image, so track tries and review minutes alongside the invoice.
We have not generated images with this model. Archive entry dated February 27, 2026, written and fact-checked on October 8, 2026. Sources are linked on the claims they support.
