Google updated it early in AI Studio so I've been experimenting:

- Base pricing for a 1024x1024 image is almost 1.6x what normal Nano Banana is ($0.067 vs. $0.039), however you can now get a 512x512 image for cheaper, or a 4k image for cheaper than four 1k images: https://ai.google.dev/gemini-api/docs/pricing#gemini-3.1-fla...

- Thinking is now configurable between `Minimal` and `High` (was not the case with Nano Banana Pro)

- Safety of the model appears to be increased so typical copyright infringing/NSFW content is difficult to generate (it refused to let me generate cartoon characters having taken psychedelics)

- Generation speed is really slow (2-3min per image) but that may be due to load.

- Prompt adherence to my trickier prompts for Nano Banana Pro (https://minimaxir.com/2025/12/nano-banana-pro/) is much worse, unsurprisingly. For example I asked it to make a 5x2 grid with 10 given inputs and it keeps making 4x3 grids with duplicate inputs.

However, I am skeptical with their marquee feature: image search. Anyone who has used Nano Banana Pro for awhile knows that it will strongly overfit on any input images by copy/pasting the subject without changes which is bad for creativity, and I suspect this implementation appears the same.

Additionally I have a test prompt which exploits the January 2025 knowledge cutoff:

    Generate a photo of the KPop Demon Hunters performing a concert at Golden Gate Park in their concert outfits.

tl;dr the example images (https://deepmind.google/models/gemini-image/flash/) seem similar to Nano Banana Pro which is indeed a big quality improvement but even relative to base Nano Banana it's unclear if it justifies a "2" subtitle especially given the increased cost.

They may be victims of their own success here. At a certain point, if you can consistently make perfect images indistinguishable from reality, you’re done improving. All that’s left to do is make it faster or cheaper or better-aligned - but these aren’t going to show up readily in ways the typical user can understand.

The pricing changes are interesting. I wonder if at some point they will deprecate the less expensive model to increase their margins.

Original Nano Banana (gemini-2.5-flash-image): $0.039 per image (up to 1024×1024px)

Nano Banana 2 (gemini-3.1-flash-image-preview): $0.045 per 512px image $0.067 per 1K (1024×1024) image $0.101 per 2K image $0.151 per 4K image

Nano Banana Pro (gemini-3-pro-image-preview): $0.134 per 1K/2K image $0.240 per 4K image

So at the most common 1K resolution, NB2 is ~72% more expensive than the original NB ($0.067 vs $0.039), but still half the price of NB Pro ($0.134).

For your knowledge cutoff test, did it failing mean that it generated a generic "Kpop demon hunter" or it rejected the prompt?