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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
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