Back to all models
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
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.
Supported Data Types
Input Types
text
Output Types
vector
Strengths & Weaknesses
Exceptional at
text embedding
relatedness measurement
Good at
search
clustering
recommendations
anomaly detection
classification
Additional Information
Latest Update
Jan 25, 2024
Knowledge Cutoff
No data