Model Details
Owner
OpenAI
Released
Jan 25, 2024
Status
Active
Context Length
NA
Max Output
NA
Provider
OpenAI
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 GPT-5 Cost Estimate
💰 Total Cost
USD 3.00
for 1000 input + 1000 output tokens
📥 Input (1000 × $N/A)
USD 1.5000
📤 Output (1000 × $N/A)
USD 1.5000
Cost Breakdown
📥 Input 50%
📤 Output 50%
Prices updated daily from official provider data.
