Using Gemini 3.6 Flash on Google AI Studio
Implementation guide · Gemini 3.6 · Google DeepMind
Google AI Studio exposes Gemini 3.6 Flash through model ID gemini-3.6-flash. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
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Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-3.6-flash— see the documentation for request format. - 3
Code Examples
pip install google-genaiGOOGLE_API_KEYgemini-3.6-flashUse the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="gemini-3.6-flash",
contents="Hello"
)
print(response.text)Pricing on Google AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $7.50 |
Capabilities
About Gemini 3.6 Flash
Gemini 3.6 Flash is Google DeepMind's generally available multimodal model. It accepts text, image, video, audio, and PDF inputs and returns text, with a 1,048,576-token context window, up to 65,536 output tokens, and Gemini API support for code execution, prompt caching, and batch processing. In Google AI Studio, select Gemini 3.6 Flash when higher capability is the priority; select Gemini 3.5 Flash-Lite when lower token cost and high throughput matter more.