text-embedding-3-small is our improved, more performant version of our 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.
https://api.openai.com/v1/batcheshttps://api.openai.com/v1/embeddings| Cost | |
|---|---|
| Standard | $0.02 |
| Model | Context | Max out |
|---|---|---|
| text-embedding-3-large | — | — |
| text-embedding-3-small | — | — |
| text-embedding-ada-002 | — | — |
/v1/models/openai/text-embedding-3-smalltext-embedding-3-small is our improved, more performant version of our 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.