Key Metrics
Input Limit
N/A tokens
Output Limit
N/A tokens
Input Cost
$0.02/1M
Output Cost
N/A/1M
Sample API Code
Not specifiedRequired Libraries
Not specified
Not specified
Notes
Default. Small embedding model. Performance: Average, Speed: Medium. 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. Uses the v1/embeddings endpoint.
Capabilities
Embeddings
Supported Data Types
Input Types
Text
Output Types
Embeddings
Strengths & Weaknesses
Exceptional at
Search
Clustering
Recommendations
Anomaly detection
Classification tasks
Good at
Cost-effectiveness
Additional Information
Latest Update
Jan 1, 1970
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