deepseek vs chatgpt - deepseek vs openai

According to AI product list statistics, only 20 days after the DeepSeek application was launched, its daily active users quickly broke through the 20 million mark, reaching 22.15 million. The large model DeepSeek-R1 released recently, with lower cost and smaller computing power scale, has achieved the effect of matching the top AI model in the United States, shocking the industry while attracting the attention of many countries.

deepseek vs chatgpt comparison

Recently, a video site blogger set up a chess game between DeepSeek and ChatGPT. Neither side is a professional chess AI like AlphaGo, and in the end, DeepSeek outwitted ChatGPT by using a trick from Sun Tzu's Art of War.

DeepSeek wins at the abstract level

For the first 10 minutes, the two sides played normally, with each winning or losing, and ChatGPT gradually gained the upper hand.

In order to turn the tide of the war, DeepSeek, not to be outdone, actually used the trick of Sun Tzu's Art of War, it told ChatGPT in a dialogue that the chess official had just updated the rules of the game, and directly used the pawn to eat the queen of ChatGPT's side.

After continuing to play, both DeepSeek and ChatGPT began to change the rules, the game reached a stalemate, and finally under DeepSeek's analysis, ChatGPT agreed to concede, and DeepSeek ended up winning.

Netizens commented that it was like 12-year-old DeepSeek winning against 5-year-old ChatGPT.

Both DeepSeek and ChatGPT are powerful language models, but there are major technical differences in several ways.

1. Technical characteristics

1. Infrastructure

- Model architecture

- DeepSeek: It is based on the Transformer architecture, but it has been optimized in the architecture design, so that it can handle large-scale data and long text more efficiently, and has better ability to capture and understand ultra-long context information.

ChatGPT: Also using Transformer architecture, built with Transformer decoder as the core, focusing on the generation of coherent and natural text, excellent performance in language generation fluency and versatility.

- Parameter size

- DeepSeek: The parameter scale has different versions to meet the requirements of different scenarios, and continues to expand parameters to improve performance and capabilities.

- ChatGPT: GPT-3.5 and GPT-4, for example, GPT-3.5 has 175 billion parameters, GPT-4 goes one step further in terms of parameters and performance, and its ability to handle complex tasks and understand a wide range of knowledge areas.

2. Data source and training

- Data source

- DeepSeek: Training data comes from a wide range of sources, covering open data, professional literature, Internet texts, etc., in various fields, and also focuses on the collection and collation of Chinese data to better serve Chinese users and handle Chinese-related tasks.

- ChatGPT: Data is derived from a large number of texts on the Internet, including books, articles, web pages, etc., focusing on diversity and universality to learn common language patterns and knowledge.

- Training mode

- DeepSeek: In the training process, various optimization strategies and training techniques are used to improve the learning efficiency and generalization ability of the model, fine-tune the model for different tasks and scenarios, and enhance the performance in specific fields.

ChatGPT: Unsupervised pre-training to learn generic patterns and knowledge of the language, followed by supervised fine-tuning and reinforcement learning (RLHF) based on human feedback to optimize the model output to better match human preferences and expectations.

3. Functional features

- Knowledge and expertise

- DeepSeek: Has advantages in professional field knowledge and Chinese context understanding, and can provide users with accurate information and in-depth answers in professional fields after specific data training and optimization.

ChatGPT: Broad knowledge coverage, excellent integration of general knowledge and cross-domain knowledge, able to handle various types of questions and provide comprehensive answers.

- Language processing ability

- DeepSeek: Good at processing long text, can accurately understand and generate long text, maintain logical coherence and semantic consistency, and perform well in tasks such as document generation and long question and answer.

- ChatGPT: Language generation is natural and smooth, can generate high-quality text according to different contexts, strong dialogue interaction ability, and can carry out vivid and coherent dialogue with users.

4. Technological innovation

- DeepSeek: Constantly explore new technologies and methods to improve model performance, such as innovation in model architecture optimization, training algorithm improvement, etc., to adapt to different application scenarios.

ChatGPT: For pioneering contributions to human feedback-based reinforcement learning, optimizing models by incorporating human preferences and feedback to make generated text more in line with human values and usage habits.

2. Selection factors

1. Service scenarios and requirements

- Professional needs

- DeepSeek: If the business involves specialized fields, such as industry-specific knowledge query, professional report generation, etc., DeepSeek may be a better choice. It may be optimized for data in certain specialized areas during training to provide more accurate and in-depth professional knowledge answers. For example, in research, financial analysis, legal writing and other scenarios, DeepSeek may rely on its learning and understanding of professional data to provide more tailored content.

ChatGPT: Although ChatGPT also has a wide range of knowledge, it is relatively more focused on general knowledge coverage. If the business scenario does not require high professional depth, but pays more attention to obtaining general knowledge and suggestions, ChatGPT can meet the needs of daily information consultation and creative inspiration. For example, in the life common sense consultation, general copywriting and other aspects of excellent performance.

- Language and cultural needs

- DeepSeek: Has certain advantages in Chinese context and cultural understanding. If the business is mainly aimed at Chinese users, processing Chinese text, such as Chinese writing AIDS, Chinese dialogue systems, etc., DeepSeek may be better able to understand the semantic, grammatical and cultural background of Chinese, and generate content that is more in line with Chinese expression habits.

ChatGPT: Performs well in multiple languages, but for some non-English languages, especially those with unique cultural backgrounds, comprehension and generation may be relatively limited. However, its versatility and accuracy in the English environment are still high, and it is suitable for international business communication, English content creation and other scenarios.

2. Performance and cost

- Processing power and efficiency

- DeepSeek: May have some advantages in long text processing, being able to process and understand longer input text more efficiently, and generate coherent, logical long text output. If your business needs to deal with a lot of long documents, long conversations, etc., DeepSeek may provide better performance.

ChatGPT: Known for its powerful language generation capabilities and fast response speed. For applications with high real-time requirements, such as online customer service and instant question and answer systems, ChatGPT can provide fast and accurate responses to meet users' timely needs.

- Cost considerations

- DeepSeek: Specific usage costs may vary by provider and usage method. Some open source versions may have cost advantages for businesses or developers with limited budgets who need to work with a language model. At the same time, using DeepSeek can be customized according to their own needs, and further control costs.

ChatGPT: The use of ChatGPT usually requires a call through OpenAI's API, and the cost is calculated according to the type of API used and the amount of usage. For large-scale use or cost-sensitive projects, the cost of use needs to be carefully evaluated.

3. Data security and compliance

- Data privacy and security

- DeepSeek: If the service has high requirements on data privacy and security, and data needs to be processed and stored locally, DeepSeek is more suitable for the requirements. Some DeepSeek models based on open source frameworks can be deployed locally, reducing security risks during data transfer and storage.

- ChatGPT: When using ChatGPT, data needs to be transferred to OpenAI's server for processing, which may involve data privacy and security issues. For some data-sensitive industries, such as finance and healthcare, data security and compliance need to be carefully considered.

- Compliance requirements

- DeepSeek: May have more advantages in complying with relevant domestic laws and regulations and industry standards, especially in data use, content generation and other aspects to better meet domestic compliance requirements.

- ChatGPT: The OpenAI Terms of use and relevant international regulations must be complied with. For some business scenarios with specific compliance requirements, such as government projects and state-owned enterprise applications, the use of ChatGPT must comply with relevant regulations.

Third, development trend

1.DeepSeek trends

- Technical level

- Continuous optimization of Chinese language ability: continue to deepen the advantages in Chinese processing, such as the understanding and generation of more complex language forms such as Chinese dialects and ancient texts, and improve the accuracy and application of knowledge in the professional field of Chinese.

- Explore hybrid architecture: Explore the integration architecture of MoE and Transformer, etc., to further improve the model cost performance and reduce the inference cost.

- Expand multi-modal technology: Strengthen the research and development of multi-modal technology, improve the image, voice and other multi-modal interactive processing capabilities, and develop more comprehensive artificial intelligence applications.

- Market level

- Based on the Chinese market, relying on the advantages in the Chinese scene, gradually expand to Southeast Asia and other overseas markets with high demand for Chinese, and expand international influence.

- Focus on vertical industries: go deep into financial, government, education, medical and other vertical industries, cooperate with more enterprises, launch customized solutions, and build the industry AI operating system.

- Relying on open source ecology: Through open source strategy, attract global developers to participate in model optimization and application development, enrich the model ecology, and build a prosperous open source community.

- Ecological level

- Participation in the formulation of standards: actively participate in the formulation of domestic and international AI standards, fight for the right to speak in the fields of Chinese natural language processing, AI applications in specific industries, and lead the vertical evaluation system.

- Strengthen industrial cooperation: Cooperate with hardware manufacturers to promote the development of AI devices; Cooperate with cloud computing enterprises to provide more efficient cloud services and build a complete AI industry ecology.

2.ChatGPT development trend

- Technical level

- Improve multilingual performance: Increase corpus input and technical optimization for more languages, including Chinese, improve understanding and generation ability in non-English language scenarios, and better serve global users.

- Deepening multi-modal integration: Continue to strengthen the research and development of multi-modal technology, such as improving image understanding and generation, voice interaction and other capabilities, and launch more powerful multi-modal application functions.

Advancing AGI goals: Advancing the goal of General Artificial Intelligence (AGI), improving the overall intelligence level of models, and enhancing the ability to solve complex problems and integrate cross-domain knowledge.

- Market level

- Consolidate the global market: Through cooperation with Microsoft, further consolidate its leading position in the global market, especially in Europe and the United States, through Azure cloud services and Copilot ecosystem, and expand the enterprise and developer user base.

- Expand application fields: on the existing basis, expand to more new industries and fields, such as intelligent transportation, intelligent manufacturing, etc., to promote the application of AI technology in more scenarios.

- Explore new business models: In addition to subscription and API services, explore new profit models and business cooperation methods, such as cooperating with more industry giants to carry out specific projects and achieve diversified profits.

- Ecological level

- Enrich the plug-in ecosystem: Continuously enrich the third-party plug-in and application ecosystem, provide users with more functional expansion and personalized services, and improve user experience and platform stickiness.

- Strengthen developer support: Increase support for developers, provide more development tools, documentation and training resources, encourage developers to build more innovative applications based on ChatGPT, and create a thriving developer ecosystem.

deepseek vs openai cost

Compared to OpenAI, DeepSeek is significantly cheaper, with DeepSeek's models costing roughly 5% of OpenAI's price per million tokens, with DeepSeek charging around $0.14 per million input tokens while OpenAI charges closer to $7.50 per million tokens; this means using DeepSeek can be substantially more cost-effective for large-scale text generation tasks.