text-embedding-ada-002 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.
| Model | Context | Max out | Pricing |
|---|---|---|---|
| Azure OpenAI: text-embedding-3-small | — | — | $0.02$0 |
| OpenAI: text-embedding-3-small | — | — | $0.02$0 |
| Azure OpenAI: text-embedding-ada-002 | — | — | $0.1$0 |
| OpenAI: text-embedding-ada-002-v2 | — | — | $0.1$0 |
| OpenAI: text-embedding-ada-002 | — | — | $0.1$0 |
| OpenAI: text-embedding-ada | — | — | $0.1$0 |
| Azure OpenAI: text-embedding-3-large | — | — | $0.13$0 |
| OpenAI: text-embedding-3-large | — | — | $0.13$0 |
/v1/models/cloudflare-ai-gateway/openai/text-embedding-ada-002text-embedding-ada-002 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.