text-embedding-3-large - In-Depth Overview

OpenAI · OpenAI

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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

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.