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Google Vertex
Gemini 2.5 Flash Image
Our cloudThe 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
$0.30
$30.00
One image: $0.03 to $0.08
Context
65,536
up to 32,768 out
Modalities
Released
Oct 2025
Knows up to Jun 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$15.60
Where this model runs
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:google/gemini-2.5-flash-image
main.py
OpenAI Specification v1.0from 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-2.5-flash-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)