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.

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

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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Prompt

1.26B

Completion

Reasoning

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

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.