DeepSeek V4 Architecture
Native Reasoning
Built-in System 2 Thinking. Pause and plan before generating.
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What is Native Reasoning?
Unlike traditional LLMs that predict the next token immediately, DeepSeek V4 introduces 'Native Reasoning Layers'. These layers function as a 'System 2' thinking process, allowing the model to pause, analyze the problem, and formulate a step-by-step plan (Chain of Thought) before generating the final answer. This significantly reduces logical errors in complex tasks like coding and mathematics.
Figure 1: Standard Inference vs Native Reasoning Loop
System 1 vs System 2
Standard LLM (System 1)
Fast, intuitive, but prone to hallucination on complex logic.
DeepSeek V4 (System 2)
Deliberate, analytical, and self-correcting. Verifies logic internally before outputting.
Reasoning Accuracy
Hybrid Architecture
DeepSeek V4 employs a hybrid architecture that dynamically routes queries. Simple queries are handled by the efficient System 1 path, while complex reasoning tasks trigger the System 2 layers, which perform iterative inference and self-verification loops.
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