Using Gemini Embedding 2 Preview on Google AI Studio

Implementation guide · Gemini Embedding · Google DeepMind

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Google AI Studio exposes Gemini Embedding 2 Preview through model ID gemini-embedding-2-preview. 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. 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-preview — see the documentation for request format.
  3. 3
    You'll be billed $0.20/1M input, Free/1M output tokens. See full pricing.
API PortalDocumentationPricing

Code Examples

Install
pip install google-genai
API key
GOOGLE_API_KEY
Model ID
gemini-embedding-2-preview

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-embedding-2-preview",
    contents="Hello"
)
print(response.text)

Pricing on Google AI Studio

TypePrice (per 1M)
Input tokens$0.20
Output tokensFree

Capabilities

VisionMultimodal

About Gemini Embedding 2 Preview

Preview release of Gemini Embedding 2, the official Google embedding model that preceded the GA gemini-embedding-2 entry.

Full model details →

Model Specs

Released2026-04-22

More Models on Google AI Studio

Gemini EmbeddingGemini Embedding 2
All models on Google AI Studio →

Provider

Google AI Studio