LLM Reference
Google AI Studio

Using Gemini 2.0 Flash on Google AI Studio

Implementation guide · Gemini 2.0 · Google DeepMind

Serverless

Quick Start

  1. 1
    Create an account at Google AI Studio and generate an API key.
  2. 2
    Use the Google AI Studio SDK or REST API to call gemini-2.0-flash — see the documentation for request format.
  3. 3
    You'll be billed $0.10/1M input, $0.40/1M output tokens. See full 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)

About Google AI Studio

Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.

Pricing on Google AI Studio

TypePrice (per 1M)
Input tokens$0.10
Output tokens$0.40

Capabilities

VisionMultimodalReasoningFunction CallingTool 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.

Model Specs

Released2025-01-30
Context2m
Knowledge cutoff2025-04