Skip to content
  12.  
    13. © 2023 – 2025 OpenRouter, Inc

    DeepSeek: R1 Distill Qwen 14B

    deepseek/deepseek-r1-distill-qwen-14b

    Created Jan 29, 202532,768 context
    $0.15/M input tokens$0.15/M output tokens

    DeepSeek R1 Distill Qwen 14B is a distilled large language model based on Qwen 2.5 14B, using outputs from DeepSeek R1. It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.

    Other benchmark results include:

    • AIME 2024 pass@1: 69.7
    • MATH-500 pass@1: 93.9
    • CodeForces Rating: 1481

    The model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.

    Providers for R1 Distill Qwen 14B

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

    Performance for R1 Distill Qwen 14B

    Compare different providers across OpenRouter

    Apps using R1 Distill Qwen 14B

    Top public apps this week using this model

    Recent activity on R1 Distill Qwen 14B

    Total usage per day on OpenRouter

    Uptime stats for R1 Distill Qwen 14B

    Uptime stats for R1 Distill Qwen 14B across all providers

    Sample code and API for R1 Distill Qwen 14B

    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.