Text Embedding 3 Small
Review Text Embedding 3 Small on key metrics including price, context length, throughput, and model features.
AuthorOpenAI
Context Length-
Supports Tools
Text-Embedding-3-Small is OpenAI’s efficient, compact embedding model, designed to convert text into numerical representations for semantic tasks such as search, clustering, and recommendations. It offers improved performance and cost-effectiveness compared to previous models, with low latency and storage requirements.
Activity
Last 14 daysPrompt
46MCompletion
0Total
46MStartup
Startup
Latency (p50)-
Throughput (p50)-
Pricing
Embeddings$0.00667/M tokens
Features
Input Modalitiestext
Output Modalitiesembeddings
Supported EndpointsEmbeddings
Vision
Supports Tools