The recent release of DeepSeek has created waves in the AI industry by challenging existing models like ChatGPT with its efficiency, cost-effectiveness, and open-source approach. But how does it actually perform in real-world use cases? 

To answer this, we tested both models on various queries across four key categories: General Knowledge, Problem-Solving, Creative Writing, and Technical Understanding. 

Here are the results:

How ChatGPT and DeepSeek Differ

ChatGPT, developed by OpenAI, utilizes Reinforcement Learning from Human Feedback (RLHF) and a broad dataset to generate structured and informative responses.

DeepSeek employs an efficiency-driven approach, using techniques such as reduced memory precision and multi-token processing to optimize performance while maintaining high-quality outputs.

Feature	DeepSeek R1 (China) 🏆	ChatGPT (GPT-4, OpenAI) 🏆
Training Cost	~$5M (Highly cost-effective)	$100M+ (Very expensive)
GPUs Required	2,000 (Can run on gaming GPUs)	100,000+ (Needs high-end data centers)
Processing Efficiency	8-bit computation (75% less memory)	32-bit (Higher accuracy, but resource-intensive)
Token Processing	Reads full phrases (2x faster)	Reads word-by-word
Parameter Activation	37B active out of 671B (Only needed “experts” are used)	1.8T active all the time (Consumes more power)
API Pricing	95% cheaper	More expensive
Open Source?	✅ Yes (Anyone can use & modify)	❌ No (Closed-source)
Multimodal Capabilities	❌ No (Text only)	✅ Yes (Text + Images with GPT-4V)
Accuracy & Refinement	Matches GPT-4 in many tasks	More fine-tuned with Reinforcement Learning

Now, let’s compare their responses across different categories.

1. Creative Writing

Prompt: Write a 200-word blog post introducing the concept of energy storage solutions for renewable energy projects.

Aspect	DeepSeek	ChatGPT
Engagement	Conversational and engaging tone.	Professional and formal approach.
Examples	Includes specific technologies like lithium-ion batteries and pumped hydro.	Provides an overview of energy storage solutions.
Structure	Includes a title and clear sections.	Organized response with detailed information.
Focus	Discusses specific challenges and solutions.	Highlights long-term goals such as energy security.

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2. General Knowledge

Prompt: Can you explain the theory of relativity in simple terms? 

Criteria	ChatGPT	DeepSeek
Clarity	Clear and well-explained.	Concise and structured.
Depth of Explanation	Covers key concepts, including mass-energy equivalence.	Includes E = mc² and additional insights on time dilation.
Engagement & Simplicity	Uses simple language with clear formatting.	Uses analogies and numbered sections for readability.
Summary	Provides a concluding statement.	Summarizes key points with a dedicated section.

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3. Problem-Solving

Prompt: If we have a budget of $10,000, what is the most efficient way to install solar panels for a home?

Criteria	ChatGPT	DeepSeek
Clarity & Readability	Well-structured with clear steps.	Organized with detailed insights.
Depth of Information	Covers incentives, financing, and efficiency.	Provides financial breakdowns and system size estimates.
Actionability	Outlines steps for planning an installation.	Includes cost estimations and decision-making guidance.
Technical Details	Discusses panel types and efficiency factors.	Explores panel types, inverters, and storage solutions.

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4. Technical Understanding

Prompt: What is the difference between a lithium-ion battery and a lead-acid battery in terms of energy storage?

Criteria	ChatGPT	DeepSeek
Conciseness	Provides a structured comparison.	Includes detailed explanations.
Structure & Readability	Uses a table format for quick reference.	Offers a comprehensive breakdown.
Depth of Information	Covers energy density, lifespan, and efficiency.	Explores additional aspects such as charge rates and environmental impact.
Practicality	Presents information in a digestible format.	Provides in-depth technical insights.

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Our Take

Based on this comparison, we found that DeepSeek offers detailed responses with structured insights and in-depth analysis, while ChatGPT delivers well-organized answers with a strong emphasis on clarity and structured presentation. Both models provide valuable information across different contexts, catering to varied user needs.

This is just our experience, and results may vary depending on how these models are used. If you’ve tried both, we’d love to hear your thoughts—what’s your take on this comparison?

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