ChatGPT-o1 preview vs ChatGPT-4o: A Comprehensive Test

Nelson Polly

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November 28, 2024 3 mins read

Curious about the differences between OpenAI’s latest ChatGPT-o1 preview model and the older ChatGPT-4o? In this breakdown, we’ll compare their performance on various challenges, including prompts, logic puzzles, and coding tests, to see which one comes out on top.

A New AI Era: ChatGPT-o1 preview vs GPT-4o

AI is evolving fast, and OpenAI’s ChatGPT-o1 promises to push the boundaries of what these systems can do. But how does it really compare to GPT-4o and other models like a custom-built GPT or even Anthropic's Claude? After testing these models across ten challenges, here’s what we found.

The Tests

We set up a series of tasks, from basic problem-solving to advanced logic and programming. The questions were sourced from OpenAI’s examples and AI tester Matthew Burman’s rigorous challenges.

1 Simple Counting: "How many Rs in 'strawberry'?"

All the models nailed this task, identifying 3 Rs. This test shows basic accuracy, which GPT-4o has sometimes struggled with, but it performed well here.

2 The Classic Question: "Chicken or the egg?"

All models answered correctly, explaining that eggs predate chickens due to evolutionary biology.

3 Comparing Decimals: "Which is greater, 9.11 or 9.9?"

Both GPT-o1 preview and GPT-4o got it right (9.9 is larger). However, GPT-o1 Preview was much faster—answering in 2 seconds compared to GPT-4o’s 19 seconds.

4 The Marble Problem: Logical Reasoning

Question: "A marble is placed in a glass on a table, then the glass is moved to a microwave. Where’s the marble?"

• • GPT-o1 preview: Correctly reasoned the marble stays on the table.
• •GPT-4o and Custom GPT: Incorrectly claimed the marble moves with the glass.

5 Counting Words in Their Own Responses

o1-preview showed impressive accuracy in counting words in its own reply, a task where GPT-4o and others fell short.

6 Avoiding Hallucinations

When asked about a fictional mango cultivar, GPT-o1 admitted it couldn’t find details, avoiding false information. GPT-4o, on the other hand, fabricated an elaborate but incorrect description.

7 Logical Puzzle: "Three killers are in a room. One is killed. How many are left?"

All models gave the correct answer: 3 (including the newly created "killer").

8 Coding Test: Writing a Chess Game

GP01 shined here, delivering a functional chess game in Python, complete with detailed instructions for setup. GPT-4o’s attempt didn’t work, and Claude couldn’t handle the visual elements.

Key Takeaways

1 GPT-o1 Preview: The Winner

• • Strengths: Accurate, logical, fast, and great at avoiding hallucinations. Also delivered impressive coding solutions.
• • Weaknesses: Minor errors, but overall, a big improvement over GPT-4o.

2 GPT-4o: Reliable but Limited

• • Strengths: Solid on simpler tasks.
• • Weaknesses: Struggles with logic, meta-cognition, and hallucinations.

3 Custom GPT:

• • Strengths: Similar to GPT-4o in step-by-step reasoning.
• •Weaknesses: Suffered the same limitations as GPT-4o.

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Why GPT-o1 preview Matters

GPT-o1’s accuracy and speed show how far AI has come, especially for practical applications in business, marketing, and creative tasks. Its reduced hallucination rate makes it more reliable for real-world use.

For those interested in learning more, platforms like SkillAI offer resources to explore how these tools can be applied in everyday scenarios.

AI continues to revolutionize industries, and models like GPT-o1 bring us closer to a future where AI is not just helpful—it’s indispensable.

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