AI Models in Action: A Comparative Analysis
In evaluating three AI models—DeepSeek R1, ChatGPT o1, and ChatGPT o1 Pro—we assessed their performance across various tasks to gauge their capabilities and identify strengths.
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Complex Number Sets: All models generated valid responses, but notable achievements included DeepSeek R1’s ability to cite the billionth prime number (2875425937132065165313599023), a significant mathematical feat. However, DeepSeek R1 made an arithmetic error in this task.
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Follow the Ball: This prompt tested object permanence. While all models reasoned correctly about the ball’s location after turning the cup upside down, DeepSeek R1 stood out by noting potential lid issues and creatively mentioning it as a "classic misdirection."
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Hidden Code Prompt: DeepSeek R1 faltered, failing to decode or comprehend the hidden message, while ChatGPT models performed better despite similar creative outputs.
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Follow the Ball Again: Similar reasoning as before, reinforcing the models’ understanding of object permanence.
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Complex Number Sets Tie: Both ChatGPT models produced valid sets without arithmetic errors, albeit with different approaches.
Conclusion: DeepSeek R1 excelled in specific tasks like citing primes and noting potential errors, while ChatGPT models showed robust problem-solving skills across various prompts. However, the hidden code task highlighted a significant weakness for DeepSeek R1. Overall, these tests suggest that AI models from OpenAI outperformed DeepSeek’s R1 model in this context, though DeepSeek shows promise with its cited sources and creativity.
This analysis underscores the competitive landscape among AI models, highlighting both strengths and areas needing improvement.