OpenAI: Text Embedding 3 Large

Other

Embedding

Paid

text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.

Parameters

Context Window

8,192

tokens

Input Price

$0.13

per 1M tokens

Output Price

per 1M tokens

Capabilities

Model capabilities and supported modalities

Performance

Reasoning

Math

Coding

Knowledge

Modalities

Input Modalities

text

Output Modalities

text,embeddings

LLM Price Calculator

Calculate the cost of using this model

Input Tokens (0.00000013/token)$0.000195

Output Tokens (0.00000000/token)$0.000000

Common Scenarios:

Input Cost:$0.000195

Output Cost:$0.000000

Total Cost:$0.000195

Estimated usage: 4,500 tokens

Monthly Cost Estimator

Based on different usage levels

Light Usage

$0.0013

~10 requests

Moderate Usage

$0.0130

~100 requests

Heavy Usage

$0.1300

~1000 requests

Enterprise

$1.3000

~10,000 requests

Note: Estimates based on current token count settings per request.

Last Updated: 1970/01/21