$0.11/—/M
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Legacy embedding model generating 1536-dimensional vectors for semantic search and similarity tasks.
High-performance embedding model generating 3072-dimensional vectors for advanced semantic understanding.
Specifications
Context8,191
Maximum Output3,072
Inputtext
Outputvector
Performance (7-day Average)
Uptime
TPS
RURT
Pricing
Input$0.14/MTokens
Batch Input$0.07/MTokens
Usage Statistics
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Documentation
No documentation available
This model (text-embedding-3-large) uses a dedicated API. Please refer to the official documentation for usage examples.