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Favicon for deepseek

DeepSeek: DeepSeek V3 Base

deepseek/deepseek-v3-base

Model weights

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

Modalities
Context
131K
Released
Mar 29, 2025
Knowledge Cutoff
Jul 2024
ActivityFAQExplore

Activity

Token volume and request traffic to this model over time.

Not currently available through EU in-region routing. In-region routing docs

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Frequently asked questions

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.

DeepSeek V3 Base has a 131,072 token context window.

DeepSeek V4.1 Flash 1017, DeepSeek V4.1 Flash, DeepSeek V4 Flash Vision Exp and 10 more are other text models from DeepSeek.

DeepSeek V3 Base was released on March 29, 2025. Its knowledge cutoff is July 31, 2024.