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gcp_vertex

Gemini 3 Pro Image

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Gemini 3 Pro Image, which Google calls Nano Banana Pro, is a reasoning-driven engine for professional-grade image editing and generation with studio-quality precision and advanced creative control. Google recommends it for complex graphic design, high-fidelity product mockups, and factual data visualizations that need accurate text rendering and grounding in Google Search.

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 page

Price

per 1M tokens

Input

Output

$2.00

$120.00

One image: $0.13 to $0.61

Context

65,536

up to 32,768 out

Modalities

Reasoning

Released

Nov 2025

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.

Estimated total$64.00

Where this model runs

gcp_vertex
Google Vertex

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 provider charges. We earn on the top-up fee.

Use it from your code

Model:gemini-3-pro-image
main.py
OpenAI Specification v1.0
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="gemini-3-pro-image",
    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)