Google: Gemini 3.5 Flash-Lite

Overview

Low-cost Gemini model for high-volume agentic tasks, translation and simple data processing.

Provider

GOGoogle

Modality

Text and image

Input

text, image, video, audio, file

Output

text

Max output

65,536 tokens

Weights

Closed

Supported parameters

tools, structured_outputs, reasoning, web_searchProvider's model page, checked October 8, 2026.

Distillable

NoLicence or terms, checked October 8, 2026.

Tags

fast, low-cost, multimodal

Docs

Provider documentation

Data policy

Prompts go to

Google (Gemini Developer API)

Retention

Paid tier: prompts and responses not used to improve Google products, but logged for a limited period for abuse monitoring, free tier content may be used to improve products

Zero data retention

Not offered

Region

No region guarantee, data may be stored transiently or cached in any country where Google operates. Google points ZDR and enterprise processing needs to Vertex AI (Gemini Enterprise Agent Platform)

Policy

Google data policy

Summarised from the provider's published terms. The provider's own policy is what applies.

Where you can run it

How Gemini 3.5 Flash-Lite can be deployed, bought and reached through Safeguard.

Deployment

Public cloudPrivate cloud

Procurement

Not published yet

Inference regions

EUEuropean Union🇺🇸United StatesCloud provider's availability page, checked October 8, 2026.

Closed weights stay with the provider, so this model runs in the provider's cloud, never on-prem or air-gapped.

Pricing

Notes

Paid tier, same input price for text, image, video and audio, output includes thinking tokens.

Source

Google pricing , last verified October 8, 2026

No markup on model usage: you pay the provider's list price.

API

OpenAI-compatible. Your API key and access to this model are set up for your workspace when you choose Use with Safeguard.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.safeguard.sh/gpt/v1",
    api_key="SAFEGUARD_API_KEY",
)

response = client.chat.completions.create(
    model="google/gemini-3.5-flash-lite",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Base URL https://api.safeguard.sh/gpt/v1, model google/gemini-3.5-flash-lite.