Using Gemini 3 Flash on Google AI Studio

Implementation guide · Gemini 3 · Google DeepMind

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Google AI Studio exposes Gemini 3 Flash through model ID gemini-3-flash. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-15. Next refresh: weekly.

Quick Start

1
Create an account at Google AI Studio and generate an API key.
2
Use the Google AI Studio SDK or REST API to call gemini-3-flash — see the documentation for request format.
3
You'll be billed $0.50/1M input, $3.00/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install google-genai

API key

GOOGLE_API_KEY

Model ID

gemini-3-flash

Use 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-flash",
    contents="Hello"
)
print(response.text)

Pricing on Google AI Studio

Type	Price (per 1M)
Input tokens	$0.50
Output tokens	$3.00

Capabilities

VisionMultimodalJSON / Tool useCode ExecutionAudio

About Gemini 3 Flash

Gemini 3 Flash is Google's speed-optimized Gemini 3 model, available in public preview via the Gemini API and Vertex AI. It supports text, image, audio, and video inputs with a 1M token context window and is priced at $0.50 per 1M input tokens and $3.00 per 1M output tokens.

Full model details →

Model Specs

Released2025-12-17

Context1m

ArchitectureDecoder Only

Knowledge cutoff2025-01