37 Nano Banana 2.1 4K images: Google batch vs standard vs Sume

37 four-K Nano Banana 2.1 images cost $2.10 on Google batch, $4.18 on Google standard and $7.40 on Sume. The gap, and when Sume is still the pick.

5 min readSume
All posts

For 37 Nano Banana 2.1 images at 4K, Google's batch tier is the cheapest route at $2.0979, Google's standard tier costs $4.181, and Sume's catalog price comes to $7.40. Google launched Nano Banana 2.1 to general availability on 2026-10-06, so this is the first week anyone is pricing it. The numbers below are per image, then multiplied by 37.

The three prices side by side

Google publishes standard and batch prices per image size on its Gemini API pricing page. Sume lists one price per size in its public catalog. Arithmetic is shown in the last column.

Nano Banana 2.1 at 4K, as of 2026-10-09 (Google pricing page and Sume catalog)
RoutePer 4K image37 imagesArithmetic
Google batch$0.0567$2.097937 x 0.0567
Google standard$0.113$4.18137 x 0.113
Sume nano-banana-2.1$0.20$7.4037 x 0.20

What the gap is

Sume's 4K price is 1.77 times Google's standard price and 3.53 times Google's batch price. Both ratios come straight from the table above. For a one-off set of 37 images the difference between the cheapest and the dearest route is $5.3021.

Google's batch tier is built for work that can wait. If your 37 images are a nightly job with no one watching, batch is the lower number and nothing on this page argues against it. Sume's catalog row has no batch price, so there is no discounted slow lane to compare against.

When Sume is still the better fit

The reason to pay more per image is usually everything around the image. Sume serves images, video, speech, music and timeline rendering behind one API key and one balance, and the Image API accepts the bare nano-banana-2.1 id as an alias for google/nano-banana-2.1. If the 37 images are stills that feed a video job, or the first frames of clips, you avoid a second vendor account and a second invoice.

It also helps when the same code path should be able to swap models. The Image API takes a catalog model id, or sume/auto to let Image Router choose, so changing from Nano Banana 2.1 to another image model is a one-field change.

  • Pick Google batch when the job can wait and images are all you buy.
  • Pick Google standard when you need results at once and only use Google.
  • Pick Sume when images feed Sume video, speech or timeline jobs and one balance matters more than the per-image gap.

Check before you commit

Prices change, and Google's page is the source for Google's numbers. Read the Gemini API pricing page and Sume's public catalog on the day you run the job. Sume bills list price times 1.25 on most routes, but the catalog is the number that applies, so use it rather than deriving from Google's page.

Reproduce the numbers

Every Sume price on this page comes from the public catalog at https://api.sume.com/v1/catalog, which needs no API key. Fetch it, find the row for the job or model named in the table, and multiply by your own seconds, characters or image count. Sume bills the list price shown in that row, so the catalog figure is the one that applies to your balance.

Vendor figures were read from Google Gemini API pricing on 2026-10-09 and are the vendor's to change. Where a vendor page did not show a number, this page leaves it out instead of guessing, and any assumption that is ours is labeled as one.

Sources

Related posts

More in Comparisons

All Comparisons posts

Written by Sume