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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.

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

Providers for Text Embedding 3 Large

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 Large

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Apps using Text Embedding 3 Large

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Recent activity on Text Embedding 3 Large

Total usage per day on OpenRouter

Uptime stats for Text Embedding 3 Large

Uptime stats for Text Embedding 3 Large across all providers

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.