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.
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8K
Released
Oct 30, 2025
Token volume and request traffic to this model over time.
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.
Text Embedding 3 Small accepts up to 8,192 tokens per input. Longer text has to be split into multiple inputs.
Text Embedding 3 Small accepts text as input and returns embedding vectors.
Text Embedding Ada 002 and Text Embedding 3 Large are other embedding models from OpenAI.
Text Embedding 3 Small was released on October 30, 2025.