In this blog post, I will compare Gemini and DeepSeek to determine their strengths and weaknesses across various aspects.
Main Focus
-
DeepSeek is primarily a research project and has no concrete plans for commercialization.
- Gemini aims to create a multimodal AI, meaning its ability to identify images and respond to verbal and textual prompts extends to images, sound, and code.
User Interface
-
Both platforms use a similar user interface design.
Pricing
- DeepSeek R1 version is completely free.
- Gemini Advanced version is paid.
Coding Performance
DeepSeek
Command: “Write an HTML header code.”
- Opinion: DeepSeek took some time to generate the code, but the response was incomplete—it did not include the
<ul>and<li>elements in the header code.
Gemini
- Opinion: Gemini provided a faster response and included a proper header code with
<ul>and<li>.
Data Analysis
DeepSeek
Query: “What happened on 4th July?”
- Opinion: DeepSeek took some time to generate a response, but the answer was accurate.
Gemini
Query: “What happened on 4th July?”
- Opinion: Gemini responded faster and included sources, which made the response more reliable.
Mathematical Calculations
DeepSeek
Query: 376 multiplied by 39.52 divided by 3
- Opinion: DeepSeek provided a detailed step-by-step answer.
Gemini
Query: 376 multiplied by 39.52 divided by 3
- Opinion: Gemini provided the answer but lacked detailed steps.
Conclusion
DeepSeek and Gemini have different strengths.
- For data analysis, I recommend Gemini because it provides faster responses with sources.
- For mathematical calculations, DeepSeek is better as it gives detailed step-by-step answers.
Both models of the AI have their own pros and cons, and the one you pick best suits your needs depends on the task you need to accomplish.
