deepseek What is the difference between r1 and v3 version

DeepSeek: In-depth comparison between R1 and V3 versions helps you choose the best AI assistant!

DeepSeek already has tens of millions of users, and its AI dialogue function has been well received. But are you confused when facing the R1 and V3 versions? This article will explain the differences between the two in detail to help you choose the most suitable version.

The core difference between DeepSeek R1 and V3 version:

Features

R1 version

V3 version

特性	R1版本	V3版本
设计目标	专注复杂问题推理，深度逻辑分析	多功能大型语言模型，注重扩展性和效率
架构与参数	强化学习优化架构，参数规模15亿-700亿	MoE混合专家架构，总参数高达6710亿，每个token激活370亿
训练方式	思维链推理重点训练 (R1-zero纯强化学习，R1加入监督微调)	FP8混合精度训练，分阶段训练 (高质量训练、扩展序列长度、SFT和知识蒸馏)
性能	逻辑推理任务表现出色 (DROP F1分数92.2%，AIME 2024通过率79.8%)	数学、多语言和编码任务表现优异 (Cmath得分90.7%，Human Eval编码通过率65.2%)
应用场景	学术研究、问题解决、决策支持、教育工具	对话式AI、多语言翻译、内容生成、企业级应用

Design goals

Focus on inference of complex problems, in-depth logical analysis

Multifunctional large language model, focusing on scalability and efficiency

Structure and Parameters

Reinforcement learning optimization architecture, parameter scale is 1.5 billion to 70 billion

MoE hybrid expert architecture, total parameters are as high as 671 billion, each token is activated by 37 billion

Training method

Key training on thinking chain reasoning (R1-zero pure reinforcement learning, R1 joins supervision and fine-tuning)

FP8 mixed precision training, staged training (high quality training, extended sequence length, SFT and knowledge distillation)

Performance

Logical reasoning task performed well (DROP F1 score 92.2%, AIME 2024 pass rate 79.8%)

Excellent performance in math, multilingual and coding tasks (Cmath score 90.7%, Human Eval encoding pass rate 65.2%)

Application Scenarios

Academic research, problem solving, decision support, educational tools

Conversational AI, multilingual translation, content generation, enterprise-level applications

Simply put, the R1 version is better at deep logical reasoning and solving complex problems; while the V3 version is a multifunctional large language model with more comprehensive functions and more efficient, suitable for a wider range of application scenarios. Which version to choose depends on your specific needs.

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