# text-embedding-3-small

**Current Snapshot:** text-embedding-3-small

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.

## Snapshots

## Supported Tools

## Rate Limits

### text-embedding-3-small

| Tier   | RPM   | TPM      | Batch Queue Limit |
| ------ | ----- | -------- | ----------------- |
| free   | 100   | 40000    |                   |
| tier_1 | 3000  | 1000000  | 3000000           |
| tier_2 | 5000  | 1000000  | 20000000          |
| tier_3 | 5000  | 5000000  | 100000000         |
| tier_4 | 10000 | 5000000  | 500000000         |
| tier_5 | 10000 | 10000000 | 4000000000        |