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    Qwen: Qwen3 Embedding 8b

    qwen/qwen3-embedding-8b

    Created Oct 28, 202532,768 context
    $0.025/M input tokens$0/M output tokens

    The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

    Providers for Qwen3 Embedding 8b

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

    Performance for Qwen3 Embedding 8b

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    Apps using Qwen3 Embedding 8b

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    Recent activity on Qwen3 Embedding 8b

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    Uptime stats for Qwen3 Embedding 8b

    Uptime stats for Qwen3 Embedding 8b across all providers

    Sample code and API for Qwen3 Embedding 8b

    OpenRouter normalizes requests and responses across providers for you.

    OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

    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.