DeepSeek: DeepSeek V3 Base (free)

deepseek/deepseek-v3-base:free

Created Mar 29, 2025163,840 context

$0/M input tokens$0/M output tokens

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

Providers for DeepSeek V3 Base (free)

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

Apps using DeepSeek V3 Base (free)

Top public apps this week using this model

Recent activity on DeepSeek V3 Base (free)

Tokens processed per day

Uptime stats for DeepSeek V3 Base (free)

Uptime stats for DeepSeek V3 Base (free) across all providers

Sample code and API for DeepSeek V3 Base (free)

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ 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.