text-embedding-3-small - In-Depth Overview

OpenAI · OpenAI

Current

Latest in family

Model ID: text-embedding-3-small

Get all the details on text-embedding-3-small, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as text_embedding, semantic_search, Clustering, available API code samples, and performance strengths.

Key Metrics

Input Limit

No data tokens

Output Limit

No data tokens

Input Cost

$0.02/1M

Output Cost

$0.02/1M

Sample API Code

from openai import OpenAI
client = OpenAI()
response = client.embeddings.create(
    input="The quick brown fox jumps over the lazy dog",
    model="text-embedding-3-small"
)
embedding = response.data[0].embedding

Required Libraries

openai

Notes

text-embedding-3-small is an improved, more performant version of OpenAI's ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text.