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text-embedding-3-small is OpenAI's improved, more performant version of the 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.
A quick read of the model identity, commercial setup, and access footprint.
Published rates, tier transitions, and modality-specific surcharges in the current catalog entry.
| Pricing | Billing mode |
|---|---|
| Prompt | ¥0.0100/1M tokens |
Hourly usage, latency, reliability, and throughput for this model.
Top 10 AI coding agents using this model during the last 15 days.