nano-banana-pro-preview

text imagetext 131K context

1 provider
2 test samples

What we tested, and what came back

Each capability below is a fixed experiment: the same prompt and the same input images for every model we test. That's what makes these outputs comparable — and it's why the same bicycle shows up on every image model's page.

Each of these is a fixed experiment — the same prompt and the same input images for every model we test, so the outputs are directly comparable.

Renders a data-faithful infographic ✓ passed
We asked

“Create a clean infographic: a vertical bar chart titled 'HIFIBOTS USERS' with exactly three labeled bars: Jan = 10, Feb = 25, Mar = 40. Show each label and value as legible text.”

We gave it

Nothing — prompt only

It returned
a vision model was asked a yes/no question about the output 16s
Replaces a target object in place (prompt-based inpainting) ✓ passed
We asked

“In this image, replace the red square with a yellow star. Keep the blue circle exactly as it is.”

We gave it 1 reference image
Input fixture shapes.png
shapes.png
It returned
a vision model was asked a yes/no question about the output 16s
Specs
latency s
15.664836168289185
speed tier
medium

Where to run it

The same model, priced by each provider that serves it. Cheapest first — the card's headline price is the best available anywhere, which is the wrong number for choosing where to actually send your traffic.

ProviderPriceContext
google Not published131KGet a key ↗ partner

Rows marked partner may earn us a commission. Ordering is by price only — it is never influenced by what a provider pays us.

See all google models we've tested →

How we test

Every claim is tagged by how we know it. Tested means we ran the model against a fixed prompt and checked the output — the images above are those runs. Researched means it's documented by the provider and cited. Nothing here is inferred.