Using Gemini 2.0 Flash on Google AI Studio

Implementation guide · Gemini 2.0 · Google DeepMind

Serverless

Google AI Studio exposes Gemini 2.0 Flash through model ID gemini-2.0-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-2.0-flash — see the documentation for request format.
3
You'll be billed $0.10/1M input, $0.40/1M output tokens. See full pricing.

API Portal Documentation Pricing

Code Examples

Install

pip install google-genai

API key

GOOGLE_API_KEY

Model ID

gemini-2.0-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-2.0-flash",
    contents="Hello"
)
print(response.text)

Pricing on Google AI Studio

Type	Price (per 1M)
Input tokens	$0.10
Output tokens	$0.40

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsCode Execution

About Gemini 2.0 Flash

Google Gemini 2.0 Flash is deprecated and scheduled to shut down on June 1, 2026. Use a newer Gemini model such as Gemini 3.5 Flash for current integrations; official Gemini API pricing still lists $0.10 input / $0.40 output per 1M text, image, or video tokens before batch discounts.

Full model details →

Model Specs

Released2025-01-30

Context2m

Knowledge cutoff2025-04