Back to all models
text-embedding-3-large - In-Depth Overview
OpenAI · OpenAI
Current
Flagship
Latest in family
Model ID: text-embedding-3-large
Get all the details on text-embedding-3-large, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as recommendation, text_embedding, multilingual_embedding, available API code samples, and performance strengths.
Key Metrics
Input Limit
No data tokens
Output Limit
No data tokens
Input Cost
$0.13/1M
Output Cost
$0.00/1M
Sample API Code
from openai import OpenAI
client = OpenAI()
response = client.embeddings.create(
input="Your text string goes here",
model="text-embedding-3-large"
)
embedding = response.data[0].embedding
Required Libraries
openai
openai
Notes
text-embedding-3-large is OpenAI's most capable embedding model for both English and non-English tasks. Embeddings are numerical representations of text used to measure relatedness, useful for search, clustering, recommendations, anomaly detection, and classification tasks.
Supported Data Types
Input Types
text
Output Types
text
Strengths & Weaknesses
Exceptional at
text embedding
multilingual embedding
semantic search
clustering
recommendation
anomaly detection
classification
Additional Information
Latest Update
Jan 1, 2024
Knowledge Cutoff
No data