text-embedding-3-small
Embedding modelCard summarizedImproved, more performant version of our ada embedding model
Source: "New embedding models and API updates" launch post and Embeddings guide (no model card published)
Where to call it
- OpenAI API
text-embedding-3-small
Good for
- Search (ranking results by relevance to a query)
- Clustering and classification of text
- Recommendations and anomaly detection
Overview
OpenAI · 01Small, front
Embed 3 Small
Improved, more performant version of our ada embedding model
Typical price
$0.02 / 1M tok
Text input
- Dimensions
- 1536
- Max input
- 8,192 tokens
- Modes
- text embeddings
- Released
- 25 Jan 2024
text-embedding-3-small is OpenAI's small, efficient third-generation text embedding model (1536 dimensions by default). OpenAI positions it as an upgrade over text-embedding-ada-002: better scores on multilingual retrieval (MIRACL) and English tasks (MTEB) at one fifth of ada-002's price. Vectors can be shortened with the dimensions parameter. launch post; embeddings guide
text-embedding-3-small- Typical price
- $0.02 / 1M tok
- Dimensions
- 1536 (can be shortened with the dimensions parameter)
- Max input
- 8,192 tokens
- Languages
- Multilingual (MIRACL multi-language retrieval reported); no language count stated
- Weights
- Closed
- Released
- 25 Jan 2024
- text embeddings