Models Model details

OpenAI

OpenAI: Text Embedding 3 Small (batch)

openai/text-embedding-3-small:batch

text-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. 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.

Input
$0.01

/ 1M tokens · Token reference

Output
$0

/ 1M tokens · Token reference

Context window
8.19K

tokens

Embeddings output · Token reference fields do not establish an output-unit price.

Limits

Context

8,192

tokens

Max output

7,372

90% of the context window

Model facts

Author

OpenAI

Tokenizer

Other

Modality

Text -> Embeddings

Created

Oct 30, 2025

Publication status

Hugging Face: unavailableLicense: not publishedParameter count: not published

Modalities

Input · TextOutput · Embeddings