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OpenAI: Text Embedding 3 Small

openai/text-embedding-3-small

Created Oct 30, 20258,192 context

$0.02/M input tokens$0/M output tokens

text-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.

Text Embedding 3 Small - API, Providers, Stats | OpenRouter

Providers for Text Embedding 3 Small

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Text Embedding 3 Small

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Apps using Text Embedding 3 Small

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Uptime stats for Text Embedding 3 Small

Uptime stats for Text Embedding 3 Small across all providers

Sample code and API for Text Embedding 3 Small

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible embeddings API that you can call directly, or using the OpenAI SDK.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.