Gemini 3.1 Flash-Lite Preview

Google's most cost-effective multimodal model, which can provide the fastest performance for high-frequency lightweight tasks. Gemini 3.1 Flash-Lite is most suitable for handling massive agent tasks, simple data extraction tasks, and extremely low-latency applications where budget and speed are the main constraints.

byGoogleInput TypeOutput TypeContext Window1MMax Output66K

Providers

This model is available from multiple providers. Select one to see its pricing and sample code.

GoogleDefault

$0.1 / $0.6/ 1M tokens0.40× base price

Supported formatsOpenAI Chat CompletionsOpenAI ResponsesGoogle Gemini

Official Channels of Google AI Studio for Gemini

Gemini Mix

$0.15 / $0.9/ 1M tokens0.60× base price

Supported formatsOpenAI Chat CompletionsOpenAI ResponsesGoogle Gemini

Google Gemini Studio + Vertex Hybrid Channel

Pricing

Transparent pay-as-you-go pricing by token usage — no subscriptions or hidden fees.

Google

google/gemini-3.1-flash-lite-preview

Prices forchange

Per 1M tokens

Input

Prompt and context tokens

$0.1

Output

Generated completion tokens

$0.6

Cache read

Reused or stored prompt context

$0.01

Code

Copy an example below to start calling this model in minutes.

API / request example

Sample Code & API

Create API Key

from openai import OpenAI

client = OpenAI(
    base_url="https://api.apipod.ai/v1",
    api_key="<YOUR_API_KEY>",
)

# Chat Completions
completion = client.chat.completions.create(
    model="gemini-3.1-flash-lite-preview",
    messages=[
        {
            "role": "user",
            "content": "What is the meaning of life?",
        }
    ],
)
print(completion.choices[0].message.content)

from openai import OpenAI client = OpenAI( base_url="https://api.apipod.ai/v1", api_key="<YOUR_API_KEY>", ) # Chat Completions completion = client.chat.completions.create( model="gemini-3.1-flash-lite-preview", messages=[ { "role": "user", "content": "What is the meaning of life?", } ], ) print(completion.choices[0].message.content)