DeepSeek vs ChatGPT: A Side-by-Side Comparison of Features and Performance

Deepseek AI is an advanced dialogue AI platform. It is good at complex tasks, such as summing up lengthy documents, extracting key information and answering questions accurately.

It uses the combination of natural language processing (NLP) and machine learning technology to effectively understand and respond to user inquiries.

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Compared with ChatGPT, Deepseek AI usually shows stronger performance in tasks involving information retrieval and analysis.

Although both models can generate text similar to human beings, the accuracy and depth of Deepseek AI may have an advantage when dealing with the factual information and complex queries.

In this article, we will explore the different aspects of DeepSeek AI and ChatGPT, including their advantages, disadvantages, and best use cases. We will provide side comparison to help you choose the most suitable AI model for your specific needs.

View | What is Deepseek AI? Check key functions and other details

What is Deepseek? Introduction to AI Revolution

DeepSeek is a rapidly emerging artificial intelligence (AI) company located in Hangzhou, China. It has attracted people’s attention due to its open source AI model, especially Deepseek R1.

DeepSeek was established in July 2023 by Lian Wenfeng. He has previously operated a quantitative hedge fund and quickly positioned himself as competitors to become competitors of AI giants such as Openai and Google.

How does DeepSeek work? Understand its core technology

DEEPSEEK uses the foundation of advanced machine learning technology and innovative model training methods to distinguish it from other AI models including ChatGPT. This is an overview of DeepSeek’s working method and its core technologies:

Core technology and architecture

• Model distillation: Deepseek uses a technology called model distillation, which enables it to create smaller and more effective models by learning from larger and pre -existence models.
• This process is similar to learning from the apprentices learned from the master, enabling DeepSeek to achieve high performance without a wide range of computing resources required for large models (such as GPT-41).
• Advanced Natural Language Treatment (NLP): Deepseek takes natural language processing tasks as the core, so that it can better understand the context and make more meaningful dialogue. This function is essential for chat robots, automation content creation and emotional analysis.
• Multi -mode ability: In addition to text, DeepSeek can process various data types, including images and sounds. Compared with the model that only pays attention to text, this flexibility allows it to solve a wider range of AI driver tasks.
• Strengthen learning: DeepSeek combines enhanced learning technology, so that the model can learn from its interaction and improve over time. This self -improvement mechanism enhances its accuracy and adaptability in real applications.

Performance

• High -processing speed: DeepSeek has been optimized for fast data processing, and users can respond quickly and accurately. In the case of real -time decision -making, this speed is particularly beneficial.
• Ejaculation: DeepSeek’s architecture is designed to effectively expand, so as to adapt more and more data and user requests without damage performance. This makes it suitable for small and large enterprises.
• Integration with the existing system: Deepseek can be seamlessly integrated with various data platforms and software to ensure a stable workflow in different organizational environments.

Cost efficiency

Deepseek has achieved significant cost efficiency in its development. Although competitors like OpenAi have invested more than $ 100 million in training models, it is reported that Deepseek has invested only $ 6 million in two months in two months to establish its model.

This efficiency stems from its innovative training methods and the use of reserved NVIDIA chips, which allows the company to avoid some hardware restrictions on the export control of AI technology on AI Technologies.

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What is ChatGPT? How does it work?

ChatGPT is a senior artificial intelligence chat robot developed by Openai. It was released in 2022 to attract users to make a dialogue similar to humans and generate various text outputs, such as articles, papers and code.

The name “ChatGPT” represents “generating pre -training transformers”, which reflects its basic technologies and enables it to understand and produce natural language.

How does it work?

ChatGPT runs a large language model based on neural networks. It has trained on the wide data set of Internet, so that it can predict the next word in the context.

This process involves a technology called a transformer architecture, which effectively processs a large amount of text data.

In addition, ChatGPT also uses the enhanced study of the school from human feedback (RLHF) to improve its response with the passage of time, so that the interaction is more coherent and the context is related to the context.

What is the difference between ChatGPT and Deepseek? Overview

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The difference between ChatGPT and Deepseek reflects their unique design and functions.

Architecture and design

DeepSeek uses a mixture of the Experts (MOE) architecture, only the subset of its 671 billion parameters. This allows effective treatment while maintaining high performance, especially in technical tasks.

In contrast, ChatGPT uses a more traditional transformer architecture, which handles all parameters at the same time to make it universal, but it may be low -efficiency for specific tasks.

Performance and ability

DeepSeek is excellent in technical tasks, especially coding and complex mathematical problems solutions. It provides functions such as protruding and error detection, making it particularly useful for developers.

On the other hand, ChatGPT is famous for its dialogue ability and creativity, and performs well in telling stories and general knowledge inquiries.

Speed ​​and cost

In terms of speed, it is reported that Deepseek provides faster response, especially for programming query.

Regarding costs, the price of DeepSeek is significantly higher. The starting price of the subscription plan is $ 0.50 per month, while the ChatGPT is $ 20 per month.

Moderate content

Deepseek faces the challenges of political sensitivity due to the review of the content of the Chinese government.

ChatGPT has a wider understanding of global incidents, but also encountered prejudice in training data.

What is the cost benefit of DeepSeek compared with the price of ChatGPT?

DeepSeek’s cost benefits greatly exceed the cost benefits of ChatGPT, which are attractive choices for users and developers.

Pricing structure

The starting price provided by DeepSeek is $ 0.50 per month. For developers using its API, the cost is even lower, with about $ 0.14 per million input token and $ 0.28 per million output tokens.

The pricing model aims to access, especially for companies that want to integrate AI functions without incurred high expenditure.

In contrast, the monthly price of ChatGPT is $ 20. Although it does provide a free layer, users must pay to access advanced functions and ensure a faster response time.

Each token cost

DeepSeek claims to be 27 times cheaper than the Openai model. This enables applications that require extensive token usage (such as large -scale data processing or continuous interaction).

What is the performance of DeepSeek’s R1 model compared with the senior layer of ChatGPT?

DeepSeek’s R1 model is becoming a powerful competitor of Openai ChatGPT, especially in terms of technical tasks, burdens and speed. This is a detailed comparison based on the recent analysis.

Comparison

Technical task:

According to reports, in the fields of logical reasoning, coding, and solving mathematical problems, the performance of Deepseek R1 is better than ChatGPT.

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The user pointed out that, compared with ChatGPT, DeepSeek usually provides more satisfactory output, and ChatGPT performed well in a conversation and creative environment.

speed:

The speed of the R1 model is worth noting, almost twice the lead models including ChatGPT7. This efficiency is essential for users who need rapid response.

Cost and accessible

Pricing structure:

Deepseek has important advantages in terms of cost. The starting price of the R1 API is only $ 0.14 per million token, about 750,000 words.

In contrast, OPENAI’s premium products are charged for about $ 750 per million token. This pricing difference makes DeepSeek a attractive choice for individual users and enterprises.

Free access:

DeepSeek provides users with a completely free experience, while ChatGPT’s high -end and senior monthly cost is $ 20.

This pricing model proposes questions about the sustainability of the “advanced AI” service. At that time, alternatives such as DeepSeek did not need to spend.

Advantage and disadvantage

Deepseek R1:

Advantages:

• Good at generating code (such as Python, Java) and solving complex equations.
• Provide lower operating costs and faster response time.
• It is available as an open source model, allowing users to run locally and ensure data privacy.

weakness:

• Due to the review agreement affected by the Chinese government, it is facing the challenge of political sensitive themes.
• Lack of experienced ChatGPT users may expect advanced features, such as memory function or voice interactive mode.

Chatgpt:

Advantages:

• Telling stories, humor and marketing copy are superior.
• Update with global incidents and can provide rich contexts.

weakness:

• Compared with Deepseek, it is more expensive.
• Due to the inherent prejudice in the training data, it may be difficult to produce proper response in context.

How does the response time of DeepSeek and ChatGPT comparison?

Deepseek’s performance in response time, especially technical tasks, is significantly better than ChatGPT.

• Speed ​​advantage: Deepseek is much faster, especially when using language processing and programming inquiries with language processing such as Python and Java. For example, the response time generated by content can be almost 10 seconds, and the response time of ChatGPT can be about 30 seconds.
• Real -time processing: Deepseek architecture design is used for real -time processing, which helps its rapid response function. Under actual situation, the user reports that the task used on ChatGPT4 on ChatGPT4 is reduced by 40 %.
• Performance in specific tasks: In specific tasks such as data analysis and customer query response, Deepseek can provide an answer almost immediately, and ChatGPT usually takes longer, which takes about 10 seconds to perform similar queries.

Source: https://dinhtienhoang.edu.vn
Category: Optical Illusion