DeepSeek 是一个先进的人工智能模型，专注于自然语言处理和代码生成等任务

DeepSeek

DeepSeek 是一个先进的人工智能模型，专注于自然语言处理和代码生成等任务。

主要模型版本

DeepSeek-V2

DeepSeek-V2 是 DeepSeek 的第二代模型，采用了 Mixture-of-Experts (MoE) 架构，具有更高的参数量和更强的能力，同时降低了成本。该版本在多个评测基准中表现出色，尤其在中文和英文的综合能力方面。

DeepSeek-Coder-V2

DeepSeek-Coder-V2 是专门针对代码生成和编程任务优化的模型版本。该版本在代码生成能力上有显著提升，并在标准测试集上取得了优异成绩，如 HumanEval 的通过率达到了 84.76%。

DeepSeek-V2.5

DeepSeek-V2.5 是最新的模型版本，融合了 DeepSeek-V2-Chat 和 DeepSeek-Coder-V2 两个模型的优势。该版本在通用能力和代码能力上均显著超过了旧版本。具体性能提升包括：

• ArenaHard 胜率从 68.3% 提升至 76.3%
• AlpacaEval 2.0 LC 胜率从 46.61% 提升至 50.52%
• MT-Bench 分数从 8.84 提升至 9.02
• AlignBench 分数从 7.88 提升至 8.04
• HumanEval 通过率达到了 89%

收费模式

按量计费

DeepSeek 的收费模式是按实际使用的 token 数量计费，这种方式使得用户可以根据自己的需求灵活控制成本。

费用结构

• 输入 token：每百万输入 token 收费 0.1 元。
• 输出 token：每百万输出 token 收费 2 元。

免费额度

DeepSeek 提供一定的免费额度，用户可以免费使用一定数量的 token，以便体验和测试服务。

• 免费注册：注册用户可获得 500 万免费 token（限中国大陆地区）。

应用场景

代码生成与编程辅助

DeepSeek-Coder 系列模型在代码生成和编程辅助方面表现出色，能够显著提高开发者的工作效率和代码质量。具体应用包括：

• 代码自动生成与改进：为开发人员提供智能的代码片段生成、错误修正和代码优化建议。
• 跨语言编程支持：支持多达 338 种编程语言，适用于跨国界的多语言项目。
• 智能辅助编程：提供实时的代码补全、错误检查和优化建议。
• 快速原型开发：在软件开发的初期阶段，快速生成代码原型，加速开发流程。

自然语言处理

DeepSeek 在自然语言处理（NLP）方面也有广泛的应用，能够处理文本生成、文本分类、情感分析等任务。具体应用包括：

• 智能对话：用户可以与 DeepSeek 进行自然语言对话，获取各种信息、解答问题或进行闲聊。
• 文本生成与分类：生成高质量的文本内容，进行文本分类和情感分析。

教育与培训

DeepSeek 可以辅助教育培训，提供个性化学习建议和答疑服务，帮助学生和教师理解和解决复杂的数学问题和算法逻辑。具体应用包括：

• 数学与算法解题：帮助学生和教师理解和解决复杂的数学问题和算法逻辑，提升学习效率。
• 个性化学习建议：根据学生的学习情况，提供个性化的学习建议和资源。

客户服务

DeepSeek 可以用于自动化客户支持，解答用户咨询，处理常见问题，提高客户服务的效率和质量。具体应用包括：

• 自动化客户支持：通过智能对话系统，自动解答用户的常见问题。
• 用户咨询处理：处理用户的复杂咨询，提供准确和及时的回答。

娱乐互动

DeepSeek 还可以用于社交娱乐应用，提供智能聊天和互动体验。具体应用包括：

• 智能聊天：与用户进行自然语言对话，提供有趣和有益的互动体验。
• 社交娱乐：在社交平台上提供智能互动，增强用户体验。

DeepSeek 的开源版本如 DeepSeek-V2 和 DeepSeek-Coder-V2 提供了高性能和灵活性，适用于教育、科研和开发者社区。这些模型不仅在代码生成和自然语言处理方面表现出色，还能广泛应用于多种实际场景，满足用户的多样化需求。

DeepSeek is an advanced AI model focused on natural language processing (NLP) and code generation tasks.

Main Model Versions

• DeepSeek-V2

  DeepSeek-V2 is the second-generation model of DeepSeek, using a Mixture-of-Experts (MoE) architecture. It features higher parameter counts and enhanced capabilities while reducing costs. This version has performed exceptionally well in various benchmarks, particularly in overall capabilities in both Chinese and English.

• DeepSeek-Coder-V2

  DeepSeek-Coder-V2 is optimized specifically for code generation and programming tasks. It shows significant improvements in code generation capabilities, achieving outstanding results in standard test sets, such as a 84.76% pass rate in HumanEval.

• DeepSeek-V2.5

  DeepSeek-V2.5 is the latest model version, combining the strengths of DeepSeek-V2-Chat and DeepSeek-Coder-V2. This version has significantly outperformed older models in both general and coding capabilities. Specific performance improvements include:

  • ArenaHard: Win rate increased from 68.3% to 76.3%
  • AlpacaEval 2.0 LC: Win rate increased from 46.61% to 50.52%
  • MT-Bench: Score increased from 8.84 to 9.02
  • AlignBench: Score increased from 7.88 to 8.04
  • HumanEval: Pass rate reached 89%

Pricing Model

Pay-per-Use
DeepSeek uses a pay-per-use model based on the number of tokens processed, allowing users to flexibly control costs according to their needs.

• Pricing Structure
  • Input tokens: ¥0.1 per million input tokens
  • Output tokens: ¥2 per million output tokens
• Free Quota
  DeepSeek provides a free token allowance for users to experience and test its services.
  • Free Registration: Registered users receive 5 million free tokens (limited to mainland China).

Application Scenarios

• Code Generation and Programming Assistance

  The DeepSeek-Coder series excels in code generation and programming support, significantly improving developer productivity and code quality. Specific applications include:

  • Automated Code Generation and Improvement: Provides intelligent code snippet generation, error correction, and code optimization suggestions for developers.
  • Cross-Language Programming Support: Supports up to 338 programming languages, making it ideal for multilingual projects across borders.
  • Intelligent Programming Assistance: Offers real-time code completion, error checking, and optimization suggestions.
  • Rapid Prototyping: Quickly generates code prototypes during the early stages of software development, accelerating the development process.
• Natural Language Processing (NLP)

  DeepSeek has broad applications in NLP, handling tasks such as text generation, text classification, and sentiment analysis. Specific applications include:

  • Intelligent Conversations: Users can engage in natural language conversations with DeepSeek to obtain information, answer questions, or engage in casual chat.
  • Text Generation and Classification: Generates high-quality text content and performs text classification and sentiment analysis.
• Education and Training

  DeepSeek can assist in education and training by providing personalized learning advice and answering questions, helping students and teachers understand and solve complex mathematical problems and algorithm logic. Specific applications include:

  • Mathematics and Algorithm Problem Solving: Assists students and teachers in understanding and solving complex mathematical and algorithmic problems, improving learning efficiency.
  • Personalized Learning Suggestions: Provides personalized learning advice and resources based on students’ progress.
• Customer Service

  DeepSeek can be used for automated customer support, answering user inquiries and handling common issues, thereby improving the efficiency and quality of customer service. Specific applications include:

  • Automated Customer Support: Answers common user questions through an intelligent dialogue system.
  • User Inquiry Processing: Handles complex user inquiries, providing accurate and timely responses.
• Entertainment Interaction

  DeepSeek can also be applied in social entertainment scenarios, providing intelligent chat and interactive experiences. Specific applications include:

  • Intelligent Chat: Engages in natural language conversations with users, offering enjoyable and useful interactions.
  • Social Entertainment: Enhances user experiences on social platforms through intelligent interaction.

Open-Source Versions

DeepSeek’s open-source models, such as DeepSeek-V2 and DeepSeek-Coder-V2, provide high performance and flexibility, making them ideal for education, research, and the developer community. These models excel in both code generation and natural language processing and can be widely applied in various real-world scenarios, catering to diverse user needs.