Gemini 3.5 Flash

Gemini 3.5 Flash is designed to support high-speed, cost-effective and complex developer and agent workflows. It integrates powerful multi-step reasoning capabilities into a highly optimized and low-latency framework, enabling it to operate efficiently when running massive reasoning loops on a large scale.

byGoogleInput TypeOutput TypeContext Window1MMax Output66K

Providers

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

GoogleDefault

$0.6 / $3.6/ 1M tokens0.40× base price

Supported formatsOpenAI Chat CompletionsOpenAI ResponsesGoogle Gemini

Official Channels of Google AI Studio for Gemini

Gemini Mix

$0.9 / $5.4/ 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-3.5-flash

Prices forchange

Per 1M tokens

Input

Prompt and context tokens

$0.6

Output

Generated completion tokens

$3.6

Cache read

Reused or stored prompt context

$0.06

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-3.5-flash",
    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-3.5-flash", messages=[ { "role": "user", "content": "What is the meaning of life?", } ], ) print(completion.choices[0].message.content)