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Gemini 3.5 Flash-Lite

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Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput execution on subagent tasks and document parsing. It is the fastest and most cost-effective model in the 3.5 generation. Google recommends it for high-volume agentic workflows, simple data extraction, and applications where latency and API cost are the primary constraints.

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

$0.30

$2.50

Context

1,048,576

up to 65,536 out

Modalities

ToolsReasoning

Released

Jul 21, 2026

Knows up to Mar 2026

What it would cost you

1000 tokens is roughly 750 English words.

Estimated total$1.85

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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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-3.5-flash-lite
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-3.5-flash-lite",
    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)