Skip to content
  1.  
  2. © 2023 – 2025 OpenRouter, Inc

    Qwen: Qwen3 8B

    qwen/qwen3-8b

    Created Apr 28, 2025128,000 context
    $0.035/M input tokens$0.138/M output tokens

    Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math, coding, and logical inference, and "non-thinking" mode for general conversation. The model is fine-tuned for instruction-following, agent integration, creative writing, and multilingual use across 100+ languages and dialects. It natively supports a 32K token context window and can extend to 131K tokens with YaRN scaling.

    Providers for Qwen3 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 8B

    Compare different providers across OpenRouter

    Apps using Qwen3 8B

    Top public apps this week using this model

    Recent activity on Qwen3 8B

    Total usage per day on OpenRouter

    Uptime stats for Qwen3 8B

    Uptime stats for Qwen3 8B across all providers

    Sample code and API for Qwen3 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.