Last week, China launched an artificial intelligence called Deepseek to compete directly with Chat GPT, created in the United States, which, like its competitor, follows the language model (Large Language Model) and is used through chats, in an accessible way.
One of the main differences is in the development of the technology itself, which left Silicon Valley entrepreneurs on alert, as only US$6 million were used to create the chip that governs AI, and on the other hand, the initial cost of chat GPT was US$1 billion in investment, which shows China’s technological capacity in relation to AI.
Main Differences
We have gathered 6 important criteria about the platforms to understand a little of the difference between the two. We asked the same question to both platforms, about what their differences were, check out the answers:
1.Data Context
DeepSeek Response
DeepSeek:
I’m designed to work with both internal and organization-specific data. This includes access to private databases, documents (PDFs, Word), emails, intranets, and other business sources.
I can be integrated with internal systems to seek and process confidential information, following security and privacy policies.
My focus is on providing answers and analysis based on organizational data, which makes me ideal for businesses that need customized solutions.
ChatGPT:
It operates primarily on the basis of your overall training, which includes public data available up to the date of your last training (e.g., through 2021 for GPT-3.5 or through 2023 for GPT-4).
It does not have direct access to private databases unless it is integrated with them through APIs or other tools.
In some premium versions, you can access public web information in real-time, but this is limited and depends on the configuration.
Chat GPT Response
ChatGPT:
I work with general data available until 2024, in addition to public web information (when enabled). I’m a natural language-based AI, so I don’t access private or internal databases
of companies, unless integrated into them. My strength lies in interpreting and creating content, not in directly mining or analyzing large volumes of data.
DeepSeek:
It is designed to work directly with specific and structured data, such as corporate databases, internal documents (e.g., PDFs, Word), e-mails, and enterprise file systems. It is ideal for searching for accurate information in internal repositories, with the ability to locate and organize details in extensive, technical sources.
2.General Purpose
DeepSeek Response
DeepSeek :
My purpose is to meet the specific needs of companies and organizations by providing technical support, data analysis, process automation, and personalized content generation.
I am more focused on commercial and business applications, with a focus on efficiency and security.
ChatGPT:
It is a generalist language model, designed for a wide range of tasks, from casual conversations to creative text generation and problem-solving.
Its purpose is to be a versatile tool for general use, including educational, creative, and entertainment applications.
Chat GPT Response
ChatGPT:
My purpose is general and flexible, including support for learning, creative writing, problem-solving, task automation, and idea generation. I am a multifunctional assistant, used in various areas such as business, technology, education and even entertainment.
DeepSeek:
It is a tool with the specific purpose of locating and analyzing data accurately. Focused on information mining and retrieval, it is designed to solve problems such as finding patterns, analyzing corporate documents, and generating insights from specific databases.
3.Focus and Expertise
DeepSeek Response
DeepSeek:
My focus is on business applications such as customer support, task automation, data analysis, and reporting.
I specialize in dealing with internal data and specific business contexts, which allows me to offer more accurate and tailored solutions.
ChatGPT:
It has a more generalist focus, being suitable for tasks such as creative writing, translation, answering common questions, and basic support.
It does not specialize in internal data or business contexts unless it is integrated with specific systems.
Chat GPT Response
ChatGPT:
My specialty is in natural language interaction, adapting to various demands. I attend both simple (answering questions) and complex tasks (generating business strategies, creative content or even programming codes).
DeepSeek:
It specializes in deep research and technical analysis. It acts as a tool for professionals who deal with large volumes of data (such as legal, academic, or business) and need to reliably locate specific information.
4.Performance and Speed,
DeepSeek Response
DeepSeek:
I am designed to be faster and more efficient in terms of processing, especially in tasks that involve large volumes of data or complex analysis.
My architecture is optimized to offer agile and high-quality responses, with less consumption of computational resources.
ChatGPT:
Depending on the version and infrastructure used, it may require more resources to operate, especially in complex tasks.
In general, it is fast, but it may not be as efficient as specialized models in business contexts.
Chat GPT Response
ChatGPT:
It works quickly in interactive dialogues and text generation, but is not optimized for handling large volumes of structured data or mining in internal repositories. Efficiency depends on the context and type of task.
DeepSeek:
It performs best in massive and accurate data recovery, processing extensive documents or databases in a short time. It is optimized to search for keywords, patterns, or specific information in large files.
5.Costs and Accessibility
DeepSeek Response
DeepSeek:
I am developed with a focus on business applications, which can make my cost more affordable for companies looking for specific and efficient solutions.
My integration with internal systems can reduce operational costs in the long run, especially in repetitive tasks or those that require data analysis.
ChatGPT:
Depending on the license and usage plan, it can have varying costs, especially for large-scale applications.
Free or basic versions may be limited in terms of functionality and access to real-time data.
Chat GPT Response
ChatGPT:
I offer both free and paid options, such as the ChatGPT Plus plan. I’m widely accessible, so I can be used by individuals or businesses, but my costs are scalable depending on the integration required (such as APIs for business use).
DeepSeek:
It usually has a higher cost due to its specialization in enterprise data analysis. It is targeted at businesses that need a robust solution for data management and recovery. Accessibility may be more restricted, depending on licensing and technical settings.
6.Application in the Workplace
DeepSeek Response
DeepSeek:
I am ideal for corporate environments, where security, customization and efficiency are priorities.
I can be used for process automation, custom reporting, internal customer support, and strategic data analysis.
My ability to access and process internal data makes me a valuable tool for businesses that need specific solutions.
ChatGPT:
It is best suited for general tasks such as copywriting, brainstorming, basic customer support, and educational activities.
It can be used in work environments, but its application is more limited in contexts that require access to internal data or complex analysis.
Chat GPT Response
ChatGPT:
I am used for creative and strategic tasks in the corporate environment, such as content generation, communication assistance, brainstorming and task automation. I’m not ideal for direct mining or analysis of internal databases without specific integrations.
DeepSeek:
It is widely used for corporate research and business intelligence, such as locating technical information in contracts, regulations, tax or academic documents. It is the ideal solution for handling large volumes of organizational information.
Comparison Tables – Summary
Chat GPT
| Topic | ChatGPT | DeepSeek |
| Data Context | General data, without direct access to internal databases. | Structured and enterprise data. |
| General Purpose | Comprehensive natural language assistance. | Research and analysis of specific data. |
| Focus and Expertise | Creative and versatile interaction. | Mining and retrieval of technical data. |
| Performance and Speed | Fast in dialogues and content generation. | Efficient in processing massive data. |
| Costs and Accessibility | Scalable plans, more affordable for individuals. | More expensive, focused on business solutions. |
| Work Environment | Creativity, automation and strategic support. | Technical research and data intelligence. |
DeepSeek
| Tópico | DeepSeek | ChatGPT |
| Data Context | Focused on internal and organizational data | Based on public data and general training |
| Data Context | Enterprise and custom applications | General and versatile use |
| Focus and Expertise | Specialized in internal data and analytics | Generalist, no specific focus |
| Performance and Speed | Faster and more efficient | Fast, but less optimized for internal data |
| Costs and Accessibility | More affordable for businesses | Varying costs depending on version |
| Desktop Application | Ideal for enterprise automation and analytics | Suitable for general and creative tasks |
Final evaluation
While ChatGPT is a generalist and versatile tool with a focus on more natural language and ideal for building creative materials, Deepseek specializes in business applications, with a focus on internal data, security, and efficiency.
If your company, for example, needs a solution that integrates internal data and offers custom analytics, deepseek would be the most suitable choice, but if you need broader information, diverse subjects, content creation, and more general activities, count on chat GPT. However, the tools are not limited to that, both can perform complex activities, perform integrations and can help you in your daily life.
Application of deepseek for quality area:
We asked deepseek, the newest tool on the market, what is the best way to use it in the daily life of a quality analyst for free, check it out:
- Automate repetitive tasks, such as generating reports, analyzing basic data, or organizing spreadsheets.
- Enter raw data (such as quality metrics, customer feedback, or audit results) and ask to identify patterns, trends, or anomalies.
- Create documents such as standard operating procedures (SOPs), quality manuals, checklists, or reports of non-conformities.
- Ask for help preparing audit checklists, reviewing documents, or simulating common questions and answers during audits.
- Ask to create training materials, such as presentations, quizzes, or summaries about quality standards (ISO 9001, ISO 14001, etc.).
- Use it to monitor and analyze quality KPIs such as defect rate, time to resolution, or process efficiency.
- Ask for suggestions to implement methodologies such as Lean, Six Sigma or PDCA (Plan-Do-Check-Act) in specific processes.
- Describe a process and ask to suggest a flowchart or diagram that can be implemented in tools such as PowerPoint, Lucidchart, or Canva.
- Ask for help applying tools such as 5W2H, Ishikawa Diagram (fishbone), GUT Matrix, or SWOT Analysis.
- Use it to identify potential risks in processes and suggest mitigation plans.
These and many actions are also possible in chat GPT, but for both tools, care with sensitive data in the free version must be redoubled. The ideal is to pay for the tools to ensure the application of the general data protection law (LGPD) and security systems of the tools themselves.
Kivalita ensures compliance
Here at Kivalita we encourage the use of new technologies, but always ensuring safety and compliance with ANVISA standards. The use of AI in the work routine, especially when embedded in other types of software such as SAP or LIMS, must be validated according to ANVISA standards, and for this you can count on the expertise of professionals specialized in the subject, learn more.
