Using Gemini Embedding on Google AI Studio
Implementation guide · Gemini Embedding · Google DeepMind
Serverless
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-embedding-001— see the documentation for request format. - 3You'll be billed $0.15/1M input, Free/1M output tokens.
Code Examples
Install
pip install google-genaiAPI key
GOOGLE_API_KEYModel ID
gemini-embedding-001Use 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-embedding-001",
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 | $0.15 |
| Output tokens | Free |
Capabilities
No model capability flags are currently sourced.
About Gemini Embedding
Gemini Embedding is a language model from Google DeepMind focused on text embeddings for retrieval and semantic search. It was released 2023-12-13.