Gemini 3.1 Pro
Our cloudGemini 3.1 Pro is built to refine the performance and reliability of the Gemini 3 Pro series, with better thinking, improved token efficiency, and a more grounded, factually consistent experience. It is optimized for software engineering behavior and for agentic workflows that require precise tool usage and reliable multi-step execution.
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
$2.00
$12.00
Long prompts
$4.00 / $18.00
Above 200,000 input tokens Google charges more, for the whole request including its reply. We pass that through unchanged.
Context
1,048,576
up to 65,536 out
Modalities
Released
Feb 19, 2026
What it would cost you
1000 tokens is roughly 750 English words.
Where this model runs
If one is unavailable the request goes to the next one, and you never see it happen.
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
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-3.1-pro",
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)