← All models
openai
OpenAI: Text Embedding 3 Large
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.
8,192 context
Modalities:text->embeddings
Released:10/30/2025
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.
Weekly tokens
23.1B
Tokens generated this week (network-wide)
Usage by period
Today3.5B tokens
This week22.6B tokens
This month341.4K tokens
Trending22.6B tokens