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.
Pricing
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 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="text-embedding-3-small",
input=[
"The food was delicious!",
"Service could be faster."
],
# dimensions=512, # if supported
# encoding_format="base64",
)
print(resp)