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    BAAI: bge-large-en-v1.5

    baai/bge-large-en-v1.5

    Created Nov 18, 2025512 context
    $0.01/M input tokens$0/M output tokens

    The bge-large-en-v1.5 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-fidelity semantic embeddings optimized for semantic search, document retrieval, and downstream NLP tasks in English.

    Sample code and API for bge-large-en-v1.5

    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.