What is the difference between Nano Banana 2.1 and GPT Image 2.6 Economy Image to Image?

Nano Banana 2.1 is made by Google and GPT Image 2.6 Economy Image to Image by OpenAI; both are image models in the GetRun catalog. The difference you feel most in use is in the input parameters: Nano Banana 2.1 accepts seed, image_urls, while GPT Image 2.6 Economy Image to Image accepts background, input_urls, output_format. 2 parameters are shared by both.

Which is cheaper, Nano Banana 2.1 or GPT Image 2.6 Economy Image to Image?

A sample run of Nano Banana 2.1 costs Rp490 / image, and GPT Image 2.6 Economy Image to Image costs Rp400 / image. Those are the cost of one sample run, not a flat rate: models billed per unit are recalculated from the duration or token count you ask for, and the estimated total is always shown before the task is created.

Can I use Nano Banana 2.1 and GPT Image 2.6 Economy Image to Image from one account?

Yes. Both run from the same rupiah balance and are called the same way: POST https://getrun.id/v1/tasks with model "google-flow/nano-banana-2-1" or "gpt-image-2-6/economy-image-to-image". No separate accounts, credit cards, or per-provider subscriptions — the balance is topped up through QRIS.

GetRun / Image / Nano Banana 2.1 vs GPT Image 2.6 Economy Image to Image

Nano Banana 2.1 vs GPT Image 2.6 Economy Image to Image

Nano Banana 2.1 from Google and GPT Image 2.6 Economy Image to Image from OpenAI are both image models you can run from one GetRun account on a rupiah balance. A sample run costs Rp490 / image against Rp400 / image, and both show an estimate before the task is created. The comparison below is assembled from the catalog, so the figures match what is billed.

Comparison table

	Nano Banana 2.1	GPT Image 2.6 Economy Image to Image
Provider	Google	OpenAI
Cost of one sample run	Rp490 / image	Rp400 / image
Estimated processing time	10 to 120 seconds	10 to 180 seconds
Availability	available now	available now
Capabilities	Text to image, Image editing, Up to 10 references, 5 aspect ratios	1K, Transparent background
Number of input parameters	4	5

The parameters that set them apart

Of the 7 parameters that appear on either model, 2 are used by both. Only Nano Banana 2.1 accepts seed, image_urls. Only GPT Image 2.6 Economy Image to Image accepts background, input_urls, output_format.

Trying both

Both are called the same way — POST https://getrun.id/v1/tasks with {"model": "google-flow/nano-banana-2-1"} or {"model": "gpt-image-2-6/economy-image-to-image"} — so swapping one for the other means changing a single value, with no other code to touch. Open Nano Banana 2.1 or GPT Image 2.6 Economy Image to Image for sample output and the full parameter list.

Common questions

What is the difference between Nano Banana 2.1 and GPT Image 2.6 Economy Image to Image?: Nano Banana 2.1 is made by Google and GPT Image 2.6 Economy Image to Image by OpenAI; both are image models in the GetRun catalog. The difference you feel most in use is in the input parameters: Nano Banana 2.1 accepts seed, image_urls, while GPT Image 2.6 Economy Image to Image accepts background, input_urls, output_format. 2 parameters are shared by both.
Which is cheaper, Nano Banana 2.1 or GPT Image 2.6 Economy Image to Image?: A sample run of Nano Banana 2.1 costs Rp490 / image, and GPT Image 2.6 Economy Image to Image costs Rp400 / image. Those are the cost of one sample run, not a flat rate: models billed per unit are recalculated from the duration or token count you ask for, and the estimated total is always shown before the task is created.
Can I use Nano Banana 2.1 and GPT Image 2.6 Economy Image to Image from one account?: Yes. Both run from the same rupiah balance and are called the same way: POST https://getrun.id/v1/tasks with model "google-flow/nano-banana-2-1" or "gpt-image-2-6/economy-image-to-image". No separate accounts, credit cards, or per-provider subscriptions — the balance is topped up through QRIS.

Other comparisons in this category

Compare other image models on Generate AI Images, Priced in Rupiah, see every comparison, or open the model catalog.