text-embedding-3-large

embedproprietary

text-embedding-3-large is our 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.

Intelligence
Speed
Input price
$0.13/1M tokens
Output price
$0/1M tokens

Capabilities

Infrastructure
Batch Processing

Details

Creator OpenAI
Licenseproprietary
Statusactive
Typeembed
Input modalitiestext
Output modalitiesembedding
Open weightNo
Parameters—
Architecture—
Context window—
Max input—
Max output—
Reasoning tokens—
Knowledge cutoff—
Release date—
Sourceofficial

Pricing

Input
$0.13
Output
$0
Cache write
—
Cache read
—
Batch in
—
Batch out
—

Family Comparison: text-embedding

ModelContextMax outPricing
text-embedding-3-small——$0.02$0
text-embedding-005——$0.03$0
text-embedding-ada-002——$0.1$0
text-embedding-3-large——$0.13$0

API

GET/v1/models/vercel/openai/text-embedding-3-large

text-embedding-3-large

text-embedding-3-large is our 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.

Changes · 2 entries
openai/text-embedding-3-largeupdate2b100acMar 23, 2026, 05:30 AM
familytext-embedding
openai/text-embedding-3-largecreateb50649fMar 21, 2026, 11:58 PM