Text Embedding 3 Small

Embeddings

text-embedding-3-small

OpenAI|Created May 26, 2025

Embeddings

Text-Embedding-3-Small is OpenAI’s efficient, compact embedding model, designed to convert text into numerical representations for semantic tasks such as search, clustering, and recommendations. It offers improved performance and cost-effectiveness compared to previous models, with low latency and storage requirements.

Overview Specifications Activity Performance Uptime Examples

Pricing-50%

Pay-as-you-go rates for this model. More details can be found here.

Tokens (1M)

$0.0067

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="text-embedding-3-small",
    input=[
        "The food was delicious!",
        "Service could be faster."
    ],
)
print(resp)