OpenAI: Text Embedding 3 Large

openai/text-embedding-3-large

Created Oct 30, 20258,192 context

$0.13/M input tokens$0/M output tokens

text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. 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 Large

openai/text-embedding-3-large

Created Oct 30, 20258,192 context

$0.13/M input tokens$0/M output tokens

Sample code and API for Text Embedding 3 Large

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.