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  • DeepSeek R1 is an advanced, open-source AI model specializing in reasoning, math, and coding.
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    What is Deepseek R1?
    DeepSeek R1 represents a significant breakthrough in artificial intelligence, delivering top-tier performance in reasoning, mathematics, and coding tasks. Utilizing a sophisticated MoE (Mixture of Experts) architecture with 37B activated parameters and 671B total parameters, DeepSeek R1 implements advanced reinforcement learning techniques to achieve state-of-the-art benchmarks. The model offers robust performance, including 97.3% accuracy on MATH-500 and a 96.3% percentile ranking on Codeforces. Its open-source nature and cost-effective deployment options make it accessible for a wide range of applications.
    Deepseek R1 Core Features
    • Advanced reasoning capabilities
    • High mathematical accuracy
    • Superior coding performance
    • Open-source availability
    Deepseek R1 Pro & Cons

    The Cons

    No direct information about user-friendly interfaces or end-user applications.
    Limited details on ecosystem integrations beyond API and local deployment.
    No dedicated mobile or extension app links provided.

    The Pros

    Open-source with MIT license allowing commercial use and modifications.
    Highly competitive pricing, 90-95% cheaper than comparable OpenAI models.
    State-of-the-art performance in reasoning, math, and code generation tasks.
    Supports local deployment and multiple model variants for different resource needs.
    Advanced reinforcement learning features like self-verification and multi-step reasoning.
    API compatible with OpenAI endpoints, supporting long context lengths up to 128K tokens.
    Runs entirely in-browser with WebGPU support allowing offline use.
    Deepseek R1 Pricing
    Has free planNo
    Free trial details
    Pricing modelPay-as-you-go
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyUsage-based

    Details of Pricing Plan

    Input Tokens (Cache Hit)

    0.14 USD
    • Cost per million input tokens with cache hit

    Input Tokens (Cache Miss)

    0.55 USD
    • Cost per million input tokens with cache miss

    Output Tokens

    2.19 USD
    • Cost per million output tokens
    For the latest prices, please visit: https://deepseek-r1.com
  • Replicate.so enables developers to effortlessly deploy and manage machine learning models.
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    What is replicate.so?
    Replicate.so is a machine learning service that allows developers to easily deploy and host their models. By providing a straightforward API, it enables users to run and manage their AI workloads in a cost-effective and scalable manner. Developers can also share their models and collaborate with others, promoting a community-driven approach to AI innovation. The platform supports various machine learning frameworks, ensuring compatibility and flexibility for diverse development needs.
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