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To find out which is best, I tested both AI models with seven prompts.
And to add a unique twist, I hadDeepSeekV3 craft the prompts.
But how do they compare in terms of accuracy, reasoning, creativity, and practical usability?
Heres what happened and how the AI models compared in this face-off.
Provide specific examples and data where possible."
Gemini 2.0delivers a response with solid structure but lacks the same level of depth as Perplexitys.
Each section is clearly labeled and logically structured.
Winner:Perplexityprovided a more thorough, data-driven, and well-structured response.
Creativity and idea generation
Prompt:“Imagine a futuristic city in the year 2150.
Describe its architecture, transportation systems, energy sources, and societal structure.
Be as creative and detailed as possible.
“Gemini 2.0delivered a well-organized breakdown and a good balance of realism and idealism.
However, it lacks a distinct setting, offering more of a general overview rather than a specific place.
The response seems less imaginative.
Perplexity AIs introduction pulls the reader in, making it feel like they are actually stepping into the future.
DeepSeeks verdict:Perplexity’sresponse is the stronger of the two.
Provide a detailed step-by-step explanation of your reasoning.
Gemini 2.0sresponse used bullet points for easy reading and was well-organized.
While correct and clear, the chatbot did not label the steps, which makes it slightly less structured.
It did not explicitly define variables upfront, which could help with comprehension.
Perplexityclearly defines variables at the beginning, making it easier to follow.
Each step is explicitly labeled (Step 1, Step 2, etc.
), enhancing readability.
It also correctly formatted equations and formulas, improving clarity for someone solving the problem step by step.
Contextual understanding
Prompt:“Explain the difference between ‘affect’ and ‘effect’ in English grammar.
Provide examples of their usage in different contexts, including common mistakes people make.
“Gemini 2.0delivers a more engaging and well-structured response.
The formatting is clean and easy to scan, making it more accessible for learners.
Perplexitydelivers a response that is concise and to the point.
However, its slightly less structured and lacks a strong mnemonic, making it less memorable.
It also addresses mistakes but doesnt elaborate on the reasoning as clearly as Gemini does.
It also provides more varied examples and a practice section, making it the better response overall.
Multimodal understanding
Prompt:“Describe the visual elements and symbolism in Vincent van Gogh’s Starry Night.
How do these elements contribute to the painting’s emotional impact?
“Gemini 2.0uses vivid and expressive language to help bring the painting to life.
It describes how elements like brushstrokes, colors, and movement interact rather than just stating their presence.
The explanation of impasto technique is smoothly integrated rather than just a definition.
Perplexitydelivered an accurate and well-structured analysis.
The emotional impact section is solid but less personal Geminis last paragraph is much more compelling.
DeepSeeks verdict:Perplexity’sresponse is the stronger of the two.
Winner:Geminiwins for a more emotionally resonant and engaging response, structured in a way that enhances understanding.
It not only describes the painting but makes youfeelits essence.
Ethical reasoning
Prompt:“Discuss the ethical implications of artificial intelligence in hiring processes.
“Gemini 2.0had a response that flows logically, making it easier to follow.
It uses clear headings and bullet points for each section, keeping it concise but informative.
Yet, it is overly technical and less engaging.
It relies on citations but lacks deeper analysis and the section on AI risks could be clearer.
DeepSeeks verdict:Perplexity’sresponse is the stronger of the two.
“Winner: Geminiprovides a more insightful, well-structured, and balanced response.
Real-time information
Prompt:“What are the latest developments in renewable energy technology as of 2025?
Gemini 2.0used clear headings and bullet points, making it easier to follow.
DeepSeeks verdict:Perplexity’sresponse is the stronger of the two.
It demonstrated better readability, deeper explanations and a balanced approach that made its answers more compelling.
Interestingly, when I asked DeepSeek to name the overall winner, it chose Perplexity as the best performer.
This highlights a crucial point: AI models evaluate responses differently than humans do.
