Using Gemini Embedding 2 on Google AI Studio

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-embedding-2 — see the documentation for request format.
3. 3
   You'll be billed $0.20/1M input, Free/1M output tokens. See full pricing.

Code Examples

import os
from google import genai

client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
    model="gemini-embedding-2",
    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

Capabilities

About Gemini Embedding 2

General availability release of Google's multimodal embedding model, released April 22, 2026. Generates 3072-dimensional vectors from text, images, documents, audio, and video inputs, mapping all modalities into a unified semantic space. Supports custom task instructions to optimize embeddings for retrieval, classification, clustering, or other goals. Output dimensionality is configurable via the output_dimensionality parameter. Priced at $0.20/1M input tokens. Distinct from gemini-embedding-2-preview (the earlier preview version). API ID: gemini-embedding-2.