ChatGPT 5 VS Gemini VS Claude VS Grok - The Ultimate Test

Updated: September 7, 2025

Skill Leap AI


Summary

The video showcases a comprehensive AI testing experiment involving GPT5, Gemini, and Claude. The testing process delves into their reasoning, coding, and hallucination capabilities. The performance of each AI model is analyzed and compared in various tasks to unveil their strengths and weaknesses. The speaker discusses the prompt engineering abilities, information organization skills, and problem-solving capabilities of the AI models, ultimately revealing the rankings based on their performance in the tests.


AI Testing Setup

The speaker sets up the AI testing by introducing the AI models to be tested, such as GPT5, Gemini, and Claude. The testing will focus on reasoning capabilities, coding abilities, and hallucination tests.

Testing GPT5

The speaker starts testing with GPT5, assessing its performance in various prompts and comparisons. GPT5's responses are analyzed, and its strengths and weaknesses are highlighted.

Testing Gemini

The testing process moves on to Gemini, evaluating its responses to prompts and comparing them with other AI models. Gemini's performance in generating layouts, filters, and comparisons is assessed.

Testing Claude

The testing continues with Claude, examining its capabilities in different prompts and tasks. Claude's performance in solving problems and following instructions is discussed.

Different AI Models Comparison

The speaker compares the performance of different AI models across various categories, highlighting the strengths and weaknesses of each model based on the testing results.

Prompt Engineering and Evaluating Responses

The speaker assesses the AI models' prompt engineering capabilities and evaluates their responses to structured prompts. The performance of Chat GPT, Gemini, and Claude in organizing information is discussed.

Final Rankings and Conclusion

The final rankings of the AI models based on their performance in the testing are revealed. The winner, scoring, and ranking of each AI model are discussed, concluding the testing process.


FAQ

Q: What AI models were introduced for testing in the file?

A: GPT5, Gemini, and Claude were the AI models introduced for testing.

Q: What were the focus areas of the AI testing mentioned in the file?

A: The AI testing focused on reasoning capabilities, coding abilities, and hallucination tests.

Q: Can you explain what was analyzed during the testing process of GPT5?

A: During the testing process of GPT5, its responses to various prompts and comparisons were assessed, and its strengths and weaknesses were highlighted.

Q: What aspects of Gemini's performance were evaluated during the testing?

A: Gemini's performance in generating layouts, filters, and comparisons was assessed during the testing.

Q: How was Claude's performance evaluated during the testing process?

A: Claude's capabilities in different prompts and tasks, including solving problems and following instructions, were evaluated during the testing.

Q: What categories were used to compare the performance of different AI models in the file?

A: The performance of different AI models was compared across various categories, highlighting their strengths and weaknesses based on the testing results.

Q: What was discussed regarding the prompt engineering capabilities of the AI models?

A: The speaker assessed the AI models' prompt engineering capabilities and evaluated their responses to structured prompts.

Q: How was the final ranking of AI models determined in the file?

A: The final ranking of the AI models was based on their performance in the testing, and the winner, scoring, and ranking of each AI model were discussed to conclude the testing process.

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