OpenAI Text Embedding 3 (small)
Version: 1
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Key capabilities
About this model
The provider has not supplied this information.Key model capabilities
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See Responsible AI for additional considerations for responsible use.Key use cases
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Prompts and completions in are passed through a default configuration of Azure AI Content Safety classification models to detect and prevent the output of harmful content. Learn more about Azure AI Content Safety . Additional classification models and configuration options are available when you deploy an Azure OpenAI model in production; learn more .Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.Technical specs
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Training, testing and validation
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Distribution channels
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Safety techniques
Prompts and completions in are passed through a default configuration of Azure AI Content Safety classification models to detect and prevent the output of harmful content. Learn more about Azure AI Content Safety . Additional classification models and configuration options are available when you deploy an Azure OpenAI model in production; learn more .Safety evaluations
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Acceptable use policy
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Source: OpenAI The text-embedding-3 models offer better average multi-language retrieval performance with the MIRACL benchmark while still maintaining performance for English tasks with the MTEB benchmark.Benchmarking methodology
Source: OpenAI The provider has not supplied this information.Public data summary
Source: OpenAI The provider has not supplied this information.Model Specifications
Context Length8191
LicenseCustom
Training DataSeptember 2021
Last UpdatedOctober 2025
Input TypeText
Output TypeEmbeddings
ProviderOpenAI
Languages1 Language