Gemini-Embedding-001 is Google’s top-ranked multilingual embedding model, supporting over 100 languages and flexible output dimensions (3072, 1536, or 768). It is optimized for semantic search, clustering, and recommendations, and leverages Matryoshka Representation Learning for efficient, high-quality embeddings.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Tokens (1M)
$0.07
Capabilities
Input Modalities
Text
Output Modalities
Embeddings
Supported Parameters
Available parameters for API requests
Dimensions
Usage Analytics
Token usage across the last 30 active days
Uptime
Reliability over the last 7 days
Not enough performance data to display charts
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(base_url="https://api.naga.ac/v1", api_key="YOUR_API_KEY")
resp = client.embeddings.create(
model="gemini-embedding-001",
input=[
"The food was delicious!",
"Service could be faster."
],
# dimensions=512, # if supported
# encoding_format="base64",
)
print(resp)