Using Gemini 2.0 Flash-Lite on Google AI Studio
Implementation guide · Gemini 2.0 · Google DeepMind
Serverless
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-2.0-flash-lite— see the documentation for request format. - 3
Code Examples
Install
pip install google-genaiAPI key
GOOGLE_API_KEYModel ID
gemini-2.0-flash-liteUse 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-lite",
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
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.07 |
| Output tokens | $0.30 |
Capabilities
VisionMultimodalFunction CallingTool UseStructured Outputs
About Gemini 2.0 Flash-Lite
Google Gemini 2.0 Flash-Lite is deprecated and scheduled to shut down on June 1, 2026. Use a newer low-cost Gemini model such as Gemini 3.1 Flash-Lite for current integrations. Official Gemini API pricing lists $0.075 input / $0.30 output per 1M tokens before batch discounts.
Model Specs
Released2025-02-12
Context1.05m
ArchitectureDecoder Only