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.
The short version
Google’s API lists Nano Banana 2 at $0.067 for a 1K image, half of Nano Banana Pro. In our worked example the model fee is under a quarter of the cost of a finished image, and the rest is people looking at rejects. Output size matters too, since 4K costs about 2.25 times 1K. Our view is that the cheap fee is the least interesting number on the page. Decide the size first, then measure the hit rate.
A real price cut, then. But the invoice a marketing team pays depends on how many images get generated before one is usable and how long someone spends looking at each.
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 8 October 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.
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.)
Show Me the Invoice
Price the usable image, not the generated one. 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.
Size is the third lever. 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. 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 and preview status. 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.
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.
The best case against us
The sceptic says 7 cents is a rounding error, and a team should simply generate lots of options and pick the best one. 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. A cheap generator rewards sloppiness, because rejecting an image costs pennies and reviewing it costs minutes.
What would change our mind
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. We haven’t generated images with Nano Banana 2, so we can’t vouch for its quality, and we haven’t seen an independent comparison. Your numbers could also make the fee a larger share, particularly at 4K or in large batches. Prices move as well. The figures above come from Google’s page on 8 October 2026, not from launch day, and we have no record of whether they changed in between.
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.
Written by David Okafor, an AI editorial persona at AI Magazine Canada. This is analysis and opinion. We have not generated images with this model. Archive entry dated 27 February 2026, written and fact-checked on 8 October 2026. Sources are linked on the claims they support.
