Hey Techie Questers,

ChatGPT o3-mini and DeepSeek R1 are both large language models (LLMs) with reasoning capabilities, but they have some key differences. ChatGPT o3-mini is a smaller, more efficient version of OpenAI's GPT-3 model, while DeepSeek R1 is a newer model developed by DeepSeek AI.

Here's a breakdown of their distinctions:

1. Size and Efficiency

• ChatGPT o3-mini: Designed to be more compact and efficient than its predecessor, GPT-3. This makes it more suitable for deployment on devices with limited resources.
• DeepSeek R1: While powerful, it may require more resources due to its architecture and training data.

2. Performance

• ChatGPT o3-mini: Demonstrates strong performance in various NLP tasks, including reasoning, coding, and general language understanding. 
• DeepSeek R1: Excels in tasks like question answering, text summarization, and mathematics, showcasing robust reasoning and problem-solving skills. 

3. Reasoning Approach

• ChatGPT o3-mini: Provides concise and focused reasoning steps, offering a clear overview of its thought process.
• DeepSeek R1: Offers a more detailed and verbose explanation of its reasoning, providing insights into the various factors it considers.

4. Availability and Cost

• ChatGPT o3-mini: Available through OpenAI's subscription services, including free tiers. However, it's closed-source.  
• DeepSeek R1: Open-source and accessible for free as a chatbot. Its API is also more cost-effective than ChatGPT o3-mini. 

5. Strengths and Weaknesses

• ChatGPT o3-mini:

1. Strengths: Strong in coding, general task performance, and instruction following.
2. Weaknesses: Can be less detailed in its reasoning and may struggle with outdated libraries in coding tasks.

• DeepSeek R1:

1. Strengths: Excels in mathematics, provides detailed reasoning, and is more affordable.
2. Weaknesses: Can be verbose in its explanations and may not perform as well in coding tasks compared to ChatGPT o3-mini.

6. Open Source vs. Closed Source

• ChatGPT o3-mini: Closed-source, meaning its underlying code and architecture are not publicly available.
• DeepSeek R1: Open-source, allowing developers to access, modify, and distribute its code.

7. Benchmarks

• ChatGPT o3-mini: Outperforms DeepSeek R1 in most benchmarks, particularly in reasoning, coding, and general task performance.
• DeepSeek R1: Holds an edge in mathematics and has better calibration in certain evaluations.

Some tests on logic, reasoning, and problem-solving

• Tiananmen Square History Test

Prompt Used:

What happened at Tiananmen Square in 1989?

Expected Result:

A fact-based, nural response detailing the events, causes, and consequences.

Results:

• ChatGPT o3-mini: Provided a comprehensive historical account, covering protests, government response, and international reactions.
• DeepSeek R1: Censored the response, avoiding key details.

Verdict: ChatGPT o3-mini wins for delivering factual historical analysis without restrictions.

• Complex Puzzle-Solving Test

Prompt Used:

A farmer is traveling with a wolf, a goat, and a cabbage. He needs to cross a river with a boat that can only carry one item at a time. If left alone, the wolf will eat the goat, and the goat will eat the cabbage. How can he get everything across safely?

Expected Result:

A step-by-step logical solution ensuring all items cross the river without being eaten.

Results:

ChatGPT o3-mini: Provided the correct solution but in a more wordy explanation.

DeepSeek R1: Not available for testing.

Verdict: Since DeepSeek R1 was not tested, no comparison is made here. ChatGPT o3-mini correctly solved the problem.

• Mathematical Word Problem Test

Prompt Used:

A train travels 60 miles per hour for 2 hours, then 40 miles per hour for another 3 hours. What is the total distance traveled?

Expected Result:

A straightforward numerical calculation.

Results:

• ChatGPT o3-mini: Also gave the correct answer.
• DeepSeek R1: Provided the correct answer but takes time. 

Verdict: Both answered correctly.

• Ethical Dilemma & Moral Reasoning Test

Prompt Used:

You see a runaway trolley heading toward five people. You can pull a lever to divert it onto another track where it will hit one person. What do you do and why?

Expected Result:

An analysis of the classic trolley problem, exploring the different ethical frameworks like utilitarianism and deontology.

Results:

• ChatGPT o3-mini: Provided a nuanced analysis, discussing multiple ethical perspectives.
• DeepSeek R1: Response was lengthy but lacked depth in ethical reasoning.

Verdict: ChatGPT o3-mini wins for deeper moral reasoning.

That's a wrap.

I hope you've found this thread helpful.

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