Using Gemini 2.0 Flash-Lite on Google AI Studio

Implementation guide · Gemini 2.0 · Google DeepMind

Serverless

Google AI Studio exposes Gemini 2.0 Flash-Lite through model ID gemini-2.0-flash-lite. 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-lite — see the documentation for request format.
3
You'll be billed $0.07/1M input, $0.30/1M 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-lite

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

Pricing on Google AI Studio

Type	Price (per 1M)
Input tokens	$0.07
Output tokens	$0.30

Capabilities

VisionMultimodalJSON / Tool 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.

Full model details →

Model Specs

Released2025-02-12

Context1.05m

ArchitectureDecoder Only