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 TypetextimageaudiovideofileOutput TypetextContext 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.
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
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)