Nano Banana 2.1 Pricing: API Costs, Astorie Credits, and Which Resolution Is Worth It?

Quick Answer

Nano Banana 2.1 pricing depends on the resolution and where you generate the image.

Google lists the model as Gemini Nano Banana 2.1 (gemini-nano-banana-2.1). As of October 10, 2026, Standard API image output costs $0.0336 at 1K, $0.0504 at 2K, and $0.113 at 4K. Batch cuts those image-output prices to $0.0168, $0.0252, and $0.0567. Google also confirms that Batch API is supported for this model.

In Astorie, the same three resolution options showed a simpler credit structure:

Turning Web On added 3 credits in my check. Switching among Minimal, Medium, and High thinking did not change the displayed credit cost.

I also generated the same skincare campaign once at each resolution. For this web-focused campaign, 2K offered the best balance of visible detail and credit cost. It improved the fine packaging details I cared about for only 5 more credits than 1K. Moving from 2K to 4K doubled the credit cost, but the visible gain was much smaller.

That result has an important limit: these were three independent generations, not one identical image rendered at three resolutions. Some differences may come from normal generation variation rather than resolution alone.

How Much Does Nano Banana 2.1 Cost?

Nano Banana 2.1 API Pricing by Resolution

Google currently lists the following paid image-output prices for gemini-nano-banana-2.1:

Pricing checked: October 10, 2026.
Official source: Google Gemini Developer API pricing.

Google prices Standard image output at $30 per 1 million image tokens and Batch at $15 per 1 million. The listed output sizes consume 1,120 image tokens at 1K, 1,680 at 2K, and 3,780 at 4K.

That means 1,000 Standard image outputs would cost about:

• $33.60 at 1K
• $50.40 at 2K
• $113 at 4K

The price jump is therefore much larger from 2K to 4K than from 1K to 2K.

Why the Final API Cost Can Be Higher Than the Image Price

Those per-image figures are image-output costs, not a guaranteed all-in price for every request.

Google separately prices input at $1.50 per 1 million tokens and text or thinking output at $7.50 per 1 million tokens under Standard pricing. Search grounding also has its own billing structure after the included allowance.

So a better way to read the headline numbers is:

$0.0336, $0.0504, and $0.113 are image-output baselines, not universal final request prices.

This distinction becomes important when you compare direct API billing with a creative platform that bundles usage into credits.

Why You May See Different Nano Banana 2.1 Prices Online

Nano Banana 2.1 launched recently, and pricing pages around the web have not all stayed in sync.

For this article, I use the pricing attached specifically to the official model ID gemini-nano-banana-2.1. Google lists it as a separate model from Nano Banana 2, whose model ID is gemini-3.1-flash-image.

That distinction matters because the two models do not share the same image-output prices.

If another page shows a different 4K figure, check both the model ID and the date before using that number for budgeting.

What Nano Banana 2.1 Costs in Astorie

Direct API prices are only one way to pay for the model.

In Astorie, Nano Banana 2.1 uses credits. The generation cost is shown before the image is created.

Credits at 1K, 2K, and 4K

During my check, Astorie showed:

These are Astorie credits, not a conversion of Google's API price into dollars.

That distinction is important. The two systems can be compared as separate ways to budget a workflow, but the credit number should not be presented as Google's underlying API charge.

What Web and Thinking Level Change

Astorie also let me switch Web on or off and choose a thinking level.

Turning Web On added 3 credits at each resolution I checked:

Switching among Minimal, Medium, and High thinking did not change the displayed credit price during my check.

That is an observation about the Astorie interface at the time of testing. It should not be treated as a general rule for Gemini API billing.

Is It Worth Paying More for 2K or 4K?

A pricing table tells me how much each option costs. It does not tell me whether the extra spend makes a useful difference in the final asset.

To answer that, I made one premium skincare campaign at all three resolution settings.

My 1K vs 2K vs 4K Test Setup

I used the same LUNEAIRE serum reference and the same campaign prompt for each run.

The packaging was useful for this test because it included small text, thin decorative lines, frosted glass, brushed metal, fine paper texture, and a textured stone pedestal.

I kept these settings consistent:

• 16:9
• Medium thinking
• Web Off
• PNG
• Same product reference
• Same prompt

Only the resolution setting changed.

The generation times are observations from three individual runs. They are not a speed benchmark.

There is another limitation that matters more for image quality:

These were three independent generations, not the same image rendered at three resolutions. Differences in texture and composition may reflect generation variation as well as output resolution.

I therefore use the results as a workflow comparison, not proof that a specific texture difference was caused by resolution.

1K: The Overall Campaign Worked, but Fine Detail Was Weaker

The 1K result already worked at normal viewing size.

The bottle, carton, lighting, and overall composition looked like a usable campaign concept. Larger text such as the brand and product name also held together reasonably well.

The weaknesses appeared in the smallest packaging details. Fine text was less stable, and subtle print and surface detail were harder to inspect.

For this project, 1K would have been enough for an early concept or small preview. It was less convincing once packaging detail became part of the quality bar.

2K: The Most Practical Stopping Point for This Campaign

The 2K generation cost 15 credits, only 5 more than 1K.

In this run, small packaging details looked cleaner. The carton lines were well defined, the frosted glass had stronger separation, and the gold collar showed fine surface texture.

I also preferred the stone pedestal in the 2K result. Its rough edge and surface variation looked especially convincing.

That does not prove that 2K creates better stone texture than 4K. Because these were separate generations, that difference could come from normal sampling variation.

What I can say is that the 2K output already met the quality bar I wanted for this web campaign.

For this web-focused skincare campaign, 2K offered the best balance of visible detail and credit cost.

It was the lowest-cost result that I would have been comfortable moving forward with as the polished asset.

4K: A Much Larger File With a Smaller Visible Gain

The 4K source file was 5504 × 3072, compared with 2752 × 1536 at 2K.

The Astorie cost also increased from 15 to 30 credits.

The visual difference was less dramatic.

The 4K generation still looked polished, but at a normal web display size I did not see an improvement that felt proportional to the doubled credit cost.

The pedestal is a useful warning against over-reading the comparison. I happened to prefer its surface detail in the 2K generation. Since the images were generated independently, I would attribute that to generation variation, not evidence that 2K resolution itself creates better texture.

The safer conclusion is:

A larger output file does not guarantee that every independently generated local detail will look better.

The main advantage I could verify was the larger source resolution. Whether that is worth paying for depends on what you need to do with the file afterward.

Which Nano Banana 2.1 Resolution Should You Choose?

The right resolution depends on the final deliverable, not simply on which option has the largest number.

This is not a universal ranking of Nano Banana 2.1 resolutions.

It is a production rule:

Choose the lowest-cost resolution that meets the quality and size requirements of the final deliverable.

When 1K Makes Sense

1K is useful when you are still deciding on the concept.

If the composition, styling, or prompt may change again, using the cheapest adequate setting keeps those iterations inexpensive.

In my test, 1K was already enough to judge the campaign direction.

When 2K Is the Better Value

For the LUNEAIRE web campaign, 2K was the point where I was satisfied with the final asset without paying for the largest output.

The move from 10 to 15 credits felt meaningful because the result met my packaging-detail requirements.

That recommendation is specific to this kind of web-focused deliverable. Another project may need more or less source resolution.

When 4K Can Still Be Worth the Extra Cost

4K becomes easier to justify when you need the larger file itself.

That may include heavy crops, downstream retouching, multiple layout variants, or a final output where a larger source image matters.

In those cases, comparing 4K only at normal webpage size would miss part of its value.

How to Control the Real Cost of a Nano Banana 2.1 Workflow

Approve the Concept Before Paying for the Final Resolution

I would not spend 4K credits while I was still deciding where the product should sit or how the lighting should look.

A cleaner workflow is:

concept → approve composition → choose final resolution → export

This keeps the more expensive generation closer to the end of the process.

In Astorie, I can keep the approved reference and prompt connected in the canvas, then branch into the final generation setting instead of rebuilding the project.

Use Paid Options Only When They Solve a Real Task

Web On added 3 credits during my check.

My skincare image did not need current web information, so I left it off.

The same principle applies to other optional controls: they should solve a production need, not be enabled simply because they are available.

Evaluate Cost per Approved Asset, Not Only Cost per Generation

The cheapest individual generation is not always the cheapest finished asset.

A 10-credit image that needs several retries can eventually cost more than a higher-resolution result that passes review sooner.

I did not measure retry rates in this test, so this is a budgeting principle rather than a test result.

For real production work, I would track:

total credits spent ÷ number of approved final assets

That number is often more useful than the listed cost of one generation.

Judge the Image in Its Final Context

A 100% pixel crop and a normal webpage view answer different questions.

Use pixel-level inspection to check small text, edges, and source detail. Then view the image at its real delivery size before deciding whether that extra detail has practical value.

That is especially important when moving from 2K to 4K.

Nano Banana 2.1 Pricing FAQ

Is Nano Banana 2.1 free?

The official Gemini API pricing table currently lists no free tier for gemini-nano-banana-2.1. This was checked on October 10, 2026.

Third-party platforms may use their own subscriptions or credit systems.

How Much Does One Nano Banana 2.1 Image Cost?

Under current Standard Gemini API image-output pricing:

• 1K: $0.0336
• 2K: $0.0504
• 4K: $0.113

Batch image-output pricing is $0.0168, $0.0252, and $0.0567 respectively.

These are image-output prices. Other billable parts of a request can affect the final API cost.

Does 4K Cost Twice as Much as 2K?

It depends on the billing system.

In Astorie during my test, 2K cost 15 credits and 4K cost 30, so the displayed credit cost doubled.

Under Google's current Standard API image-output pricing, 2K is $0.0504 and 4K is $0.113, so the ratio is different.

Does Higher Thinking Cost More in Astorie?

Not in the interface check I performed.

Minimal, Medium, and High displayed the same generation credit price when I switched between them.

That finding applies to the Astorie interface during my check. It is not a statement about direct API billing.

Does Web Cost Extra in Astorie?

It did during my test.

Turning Web On added 3 credits to the displayed generation cost at each resolution I checked.

Is 4K Always Better Than 2K?

Not in a way you can assume from one independent generation.

My 4K source file was much larger than the 2K file, but some local details happened to look better to me in the 2K result. Because the images were generated separately, I cannot attribute those differences to resolution alone.

For this specific web campaign, 2K was enough to meet my quality bar at half the Astorie credit cost of 4K.

The broader rule is more useful:

The best resolution is not automatically the largest one. It is the lowest-cost setting that meets the quality requirements of the final deliverable.