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Gemini 3.7 Flash

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Gemini 3.7 Flash is an iteration in the Gemini 3 series of natively multimodal reasoning models. Google now lists it as a previous-generation Flash model, positioned for complex coding, agentic workflows, and reliable multi-step execution. It supports thinking at low, medium and high settings.

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

$0.75

$3.75

Context

1,048,576

up to 65,536 out

Modalities

ToolsReasoning

Released

Aug 13, 2026

Knows up to Mar 2026

What it would cost you

1000 tokens is roughly 750 English words.

Estimated total$3.38

Where this model runs

gcp_vertex
Google Vertex
google
Google

If one is unavailable the request goes to the next one, and you never see it happen.

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Use it from your code

Model:gemini-3.7-flash
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-3.7-flash",
    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)