Gemini Nano Banana 2.1
Gemini Nano Banana 2.1 generates and edits images from text, image and video inputs, with thinking support. It supports 1K, 2K and 4K output and up to 14 reference images.
The real Google model
Same weights, same API, same answers. We change only how you pay for it: one key for every maker, one bill, no separate account to open. Every figure on this page comes from Google’s own page — check it.
Maker's own pagePrice
per 1M tokens
Input
Output
$1.50
$30.00
One image: $0.03 to $0.08
Context
131,072
up to 32,768 out
32,768 by default here
Modalities
Released
Oct 6, 2026
The prices above are per 1M tokens, the unit every model is billed in. A picture is billed as the tokens it weighs, so a larger one costs more.
What it would cost you
1000 tokens is roughly 750 English words.
How it is served
Requests are retried automatically if a provider is unavailable.
Similar models
Models built for the same kind of work, at a similar price.
We do not mark up the price of tokens. It is the same price the maker charges.
Use it from your code
from openai import OpenAI
# Works with the official openai package (pip install openai)
client = OpenAI(
base_url="https://api.flintbeam.com/v1",
api_key="sk-live-your-api-key"
)
response = client.chat.completions.create(
model="google/gemini-nano-banana-2.1",
messages=[
{"role": "system", "content": "You are an experienced software engineer."},
{"role": "user", "content": "Describe the architecture of a distributed cache."}
],
temperature=0.7,
max_tokens=1500
)
print(response.choices[0].message.content)