OpenAI · Embeddings
text-embedding-3-small
Default modelCompact text embeddings for semantic search and matching
EmbeddingsSemantic search
Pricing
Charged by actual usage
Unit: points / 1M tokens
- Input
- 20≈ ¥0.2Member price 12≈ ¥0.12
| List price | Member price (40% off) |
|---|---|
| 20≈ ¥0.2 | 12≈ ¥0.12 |
- Paid members are charged the member price, 40% below the list price.
- Billed by input tokens only.
Lifetime and Team members get 40% off this model. See plans
About this model
text-embedding-3-small is OpenAI’s compact embedding model. It converts text into numerical vectors that represent semantic relationships for search, retrieval, similarity matching, clustering, and recommendations.
Use in Beav
- 01Download Beav and sign in
- 02Choose text-embedding-3-small in the model picker
- 03Use it for semantic search over your knowledge base