Model Details
Owner
OpenAI
Released
Jan 2024
Status
Active
Context Length
NA
Max Output
NA
Provider
OpenAI
Where is text-embedding-3-large a perfect fit?
text-embedding-3-large is designed for high-accuracy semantic understanding, making it ideal for retrieval and similarity tasks. Ideal for:
- Semantic search engines and document retrieval systems
- Retrieval-augmented generation (RAG) pipelines
- Clustering and grouping similar content or users
- Recommendation systems based on similarity matching
- Duplicate detection and content filtering
- Knowledge base indexing and vector database storage
- Semantic search engines and document retrieval systems
- Retrieval-augmented generation (RAG) pipelines
- Clustering and grouping similar content or users
- Recommendation systems based on similarity matching
- Duplicate detection and content filtering
- Knowledge base indexing and vector database storage
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.
