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    DeepSeek: DeepSeek V3 Base

    deepseek/deepseek-v3-base

    Created Mar 29, 2025131,072 context

    Note that this is a base model mostly meant for testing, you need to provide detailed prompts for the model to return useful responses.

    DeepSeek-V3 Base is a 671B parameter open Mixture-of-Experts (MoE) language model with 37B active parameters per forward pass and a context length of 128K tokens. Trained on 14.8T tokens using FP8 mixed precision, it achieves high training efficiency and stability, with strong performance across language, reasoning, math, and coding tasks.

    DeepSeek-V3 Base is the pre-trained model behind DeepSeek V3

    Sample code and API for DeepSeek V3 Base

    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.

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    Using third-party SDKs

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    See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.