Model Details
Released
Jan 25, 2024
Where is Text Embedding 3-Small a perfect fit?
text-embedding-3-small is built for high-scale, cost-efficient semantic tasks where speed and affordability matter. Ideal for:
- Large-scale semantic search and retrieval systems
- Retrieval-augmented generation (RAG) pipelines at scale
- Clustering, tagging, and categorisation of large datasets
- Recommendation engines based on similarity matching
- Deduplication and content filtering pipelines
- Applications requiring millions of embeddings at low cost
- Large-scale semantic search and retrieval systems
- Retrieval-augmented generation (RAG) pipelines at scale
- Clustering, tagging, and categorisation of large datasets
- Recommendation engines based on similarity matching
- Deduplication and content filtering pipelines
- Applications requiring millions of embeddings at low cost
Quick Model Estimate
Your Text Embedding 3-Small Cost Estimate
💰 Total Cost
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for 1000 input + 1000 output tokens
📥 Input (1000)
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📤 Output (1000)
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Cost Breakdown
📥 Input
📤 Output
Prices are watched for changes and checked against the provider's own page.
