Gemini Embedding 001

Embeddings

gemini-embedding-001

Google|Created Jul 15, 2025

Embeddings

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.

Overview Specifications Activity Performance Uptime Examples API Reference

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Pricing-50%

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 of this model on our platform

Throughput

Not enough throughput data

Time-To-First-Token (TTFT)

Not enough TTFT data

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."
    ],
)
print(resp)