Comparison of AI Models
Model Core Features & Limitations Best Use Cases & Tips Example Prompt
GPT‑4.5 🧠 🧠 ❤️ ❤️+ Enhanced Conversational & Analytical
Exels in creative writing, exploring new ideas and humanlike fluid conversation.
⚡ Fast Processing
🧑‍💻 Sence of humor 🧑‍💻 Capable to reason with Gen Z 🔍 Integrated search
Limitations:
Context window 128 000
Otput tokens limit 16,384
May require fact‑checking
Complex queries with multiple steps
Creative writing and detailed analysis
Tasks requiring balanced speed and depth
Tips:
✓ Ideal for multi‑step inquiries
✓ Balance creative input with logical structuring
✏️ In‑depth planning
"Develop a strategy for a multi‑stage marketing campaign using emerging AI tools".
🦕 Style
"The story in the style of David Sedaris, Patricia Lockwood, Simon Rich, and Lindy West.
It's about two dogs who are trying to start an smm agency in Paris, during the economy crysis and the raise of generative AI" 💻 Methodology
GPT‑4o 🧠 Conversational
Slightly deeper analysis than GPT‑4o mini
⚡⚡ Fast Response
🗣️ Voice Enabled
🎨 DALL‑E Integration
💾 Contextual Memory
Limitations:
Input Context window 128 000
Otput tokens limit 16,384 Oct 01, 2023 knowledge cutoff Fact-check recommended
Daily tasks
Voice interactions
Visual content generation
Contextual chat or conversation
Tips:
✓ Leverage multimodal features
✓ Structure prompts for context
✓ Verify outputs
Compare Alice's size at the beginning vs. the end of the story
🗣️ Voice Q&A
🎨 Quick image prompt
✏️ Summaries with context
o3‑mini + Advanced Reasoning
Multi‑step logic with balanced speed
⚡⚡ Rapid Processing
💻 Advanced Code & Debugging
🔍 Contextual Search
Optimized for technical tasks
Limitations:
150 msgs/day (Plus)
8,192 tokens
Complex queries suitable
Coding & technical tasks
Detailed analysis
Research queries
Multi‑step queries
Tips:
✓ Combine search & coding
✓ Provide code examples
✓ Balanced approach for logic & speed
Examine the Mad Hatter’s clock vs. his perpetual tea party
🧩 Solve puzzles
📝 Summarize text
💻 Generate code
o3‑mini‑high ++ Reasoning
Extended chain‑of‑thought, really good at coding. Quick thinker
💻 Expert Code Generation
⚡ Slower, Detailed Output
📄 Advanced Docs Analysis
🎯 High Accuracy
Limitations:
50 requests/session
8,192 tokens
Use for critical tasks
Complex coding challenges
Document analysis
Logical problem‑solving
High‑priority only
Tips:
✓ Provide detailed input
✓ Accuracy is paramount
✓ Allow extra time
Analyze paradoxes in Alice–Caterpillar dialogue
🧠 Deep logic
📄 Document dissection
🗂️ Cross‑reference arguments
o1 Pro Mode +++ Supreme Reasoning
Highest expertise, though performance isn't different much from o3‑high‑mini
💻 Superior Code
🎯 Max Accuracy & Knowledge
Limitations:
Pro tier only
No token limits
Precision over speed
Critical analysis
Complex problem‑solving
Expert tasks (math/law)
Errors unacceptable
Tips:
✓ High‑stakes tasks only
✓ Provide domain context
✓ Allow time for thorough analysis
Relate paradoxes in Alice–Caterpillar to set theory
🏆 Expert logic
🔬 In‑depth critique
💡 Theoretical expansions
Deep Research ++++ Deep Analytical
Extensive data correlation, Great internet surfing skills
🔍 Advanced Search
📊 Comprehensive Analysis
📈 Dynamic Visualization
Limitations:
Pro tier only
Large-scale inputs, resource heavy
Research projects
Large data analysis
Complex reports
Academic/market research
Tips:
✓ Structure queries (intro, data, conclusion)
✓ Verify with external sources
✓ Perfect for in‑depth reports
✓ If you’re feeling savvy,
consider a “priming” stage
• Set the context
• Introduce specific details
• Provide background
I am going to publish Alice in Wonderland with my own illustrations. Research reliable printing companies and calculate the costs of production.
🔍 Data scanning
🔍 Web research
📊 Graph summary
📈 Trend analysis
Comparison of AI Models
Model Core Features & Limitations Best Use Cases & Tips Example Prompt
GPT‑4.5 🧠 🧠 ❤️ ❤️+ Enhanced Conversational & Analytical
Excels in creative writing, exploring new ideas and humanlike fluid conversation.
⚡ Fast Processing
🧑‍💻 Sense of humor
🧑‍💻 Capable to reason with Gen Z
🔍 Integrated search

Limitations:
Context window 128 000
Output tokens limit 16,384
May require fact‑checking
Complex queries with multiple steps
Creative writing and detailed analysis
Tasks requiring balanced speed and depth

Tips:
✓ Ideal for multi‑step inquiries
✓ Balance creative input with logical structuring
✏️ In‑depth planning
"Develop a multi‑phase narrative where Alice ventures through a reimagined Wonderland that mirrors our modern digital landscape using AI-inspired twists."
🦕 Style
"Adopt a tone blending Lewis Carroll’s playful absurdity with a modern, witty commentary reminiscent of David Sedaris."
💻 Methodology
"Structure the journey into distinct episodes, each reflecting evolving challenges and surreal solutions."
GPT‑4o 🧠 Conversational
Slightly deeper analysis than GPT‑4o mini
⚡⚡ Fast Response
🗣️ Voice Enabled
🎨 DALL‑E Integration
💾 Contextual Memory

Limitations:
Input Context window 128 000
Output tokens limit 16,384
Oct 01, 2023 knowledge cutoff
Fact-check recommended
Daily tasks
Voice interactions
Visual content generation
Contextual chat or conversation

Tips:
✓ Leverage multimodal features
✓ Structure prompts for context
✓ Verify outputs
Compare Alice's size at the beginning vs. the end of the story
🗣️ Voice Q&A
🎨 Quick image prompt
✏️ Summaries with context
o3‑mini + Advanced Reasoning
Multi‑step logic with balanced speed
⚡⚡ Rapid Processing
💻 Advanced Code & Debugging
🔍 Contextual Search
Optimized for technical tasks

Limitations:
150 msgs/day (Plus)
8,192 tokens
Complex queries suitable
Coding & technical tasks
Detailed analysis
Research queries
Multi‑step queries

Tips:
✓ Combine search & coding
✓ Provide code examples
✓ Balanced approach for logic & speed
Examine the Mad Hatter’s clock vs. his perpetual tea party
🧩 Solve puzzles
📝 Summarize text
💻 Generate code
o3‑mini‑high ++ Reasoning
Extended chain‑of‑thought, really good at coding. Quick thinker
💻 Expert Code Generation
⚡ Slower, Detailed Output
📄 Advanced Docs Analysis
🎯 High Accuracy

Limitations:
50 requests/session
8,192 tokens
Use for critical tasks
Complex coding challenges
Document analysis
Logical problem‑solving
High‑priority only

Tips:
✓ Provide detailed input
✓ Accuracy is paramount
✓ Allow extra time
Analyze paradoxes in Alice–Caterpillar dialogue
🧠 Deep logic
📄 Document dissection
🗂️ Cross‑reference arguments
o1 Pro Mode +++ Supreme Reasoning
Highest expertise, though performance isn't different much from o3‑high‑mini
💻 Superior Code
🎯 Max Accuracy & Knowledge

Limitations:
Pro tier only
No token limits
Precision over speed
Critical analysis
Complex problem‑solving
Expert tasks (math/law)
Errors unacceptable

Tips:
✓ High‑stakes tasks only
✓ Provide domain context
✓ Allow time for thorough analysis
Relate paradoxes in Alice–Caterpillar to set theory
🏆 Expert logic
🔬 In‑depth critique
💡 Theoretical expansions
Deep Research ++++ Deep Analytical
Extensive data correlation, Great internet surfing skills
🔍 Advanced Search
📊 Comprehensive Analysis
📈 Dynamic Visualization

Limitations:
Pro tier only
Large-scale inputs, resource heavy
Research projects
Large data analysis
Complex reports
Academic/market research

Tips:
✓ Structure queries (intro, data, conclusion)
✓ Verify with external sources
✓ Perfect for in‑depth reports
✓ If you’re feeling savvy,
consider a “priming” stage
• Set the context
• Introduce specific details
• Provide background
I am going to publish Alice in Wonderland with my own illustrations. Research reliable printing companies and calculate the costs of production.
🔍 Data scanning
🔍 Web research
📊 Graph summary
📈 Trend analysis
Comparison of Claude Models
Model name Core Features & Limitations Best Use Cases & Tips Example Prompt
Claude 3.7 Sonnet 🧠🧠 ++
Hybrid: Conversational with Advanced Reasoning

A decent writer which is also very good at coding
Update - March 2025
🎯 Strong Accuracy
💡 Complex Problem Solving
🖼️ Image Analysis
📊 Data Analysis
Data Visualisation

Limitations:
200K Input(150 000 words) 126K Output
✓ Complex analysis;
✓ Creative writing;
✓ Coding;
✓ Problem solving;
✓ Data visualisation
✓ Text Stylisation
Tips:
Start with one-shot (detailed prompt);
...Ask for adjustments
Try Extended Thinking Mode
📊 Data Analysis
“Analyze the following dataset to identify key trends and anomalies: [insert dataset].”
🧮 Problem Solving
“Develop a step-by-step solution for this advanced calculus problem: [insert problem].”
✍️ Creative Content Generation
“Compose a short story about a very lonely plant in the style of John Seabrook and Michael Cunningham.”
💻 Coding Assistance
“Write a Python script that uses PyTorch for semantic segmentation of the image, with the ability to distinguish between 10 common household objects”
⏳ Extended Thinking Mode
“With extended thinking enabled, provide a detailed analysis of the economic implications of renewable energy adoption.”
Claude 3 Opus 🧠 ++ Expert Writing and Reasoning
Big context window
For multi-chapter summarisation
Long formats
Last Update - 2023
🎯 Creative and good with languages
🔬 Deep understanding of unstructured data
📚 Advanced Writing and conclusions
🖼️ Image Understanding
Limitations:
Large Input 200,000 tokens (±150 000 words) | Limited output - 4096 tokens. It can process a large book, but has a limit on the length of its responses.
✓The reader’s companion
✓Effectively tracks complex ideas in large texts
✓Suggests unexpected yet high-quality metaphors and explanations—even if they are not explicitly stated
✓Expert-level tasks in the humanities
✓Performs well with translations
📚 Text analysis.
“Read this book and write a review on how AI is being used in neuroscience research”
📝 Creative writing
“Propose an alternative ending to a classic novel, then analyze how this change would affect the main characters’ motivations and the story’s themes.”
🔍 Deep and creative insights
“Here is a historical dataset with trends in global energy use. Identify patterns, propose a new hypothesis, and explain how you’d test it.”
Claude 3 Haiku 🧠 Quick Reasoning
Optimized for conversational chatbots;
Last update Oct, 2024
⚡⚡⚡ Fastest Response
🎯 Simple tasks
💬 Conversation
🖼️ Image Understanding
Cost effective via API
Limitations:
Context (64K tokens), Short responses
Tips:
Use via API , for cost-effective yet intelligent workflows.
Otherwise do not bother.
Provide concise prompts, examples, use for fast iterations;
Summarize this product review and highlight key points
📝 Quick text analysis
🎯 Focused responses
⚡ Rapid insights
Comparison of Gemini Models
Model & Reasoning Use for Colab coding or don't bother at all Core Features & Limitations Best Use Cases & Tips Example Prompt
Gemini Pro ++--
Poor performance OK for NLP tasks
🔗 Might have Multimodal capabilities
💻 Code generation
📝 Text analysis
🖼️ Image understanding
Limitations:
32K token context
API & Google AI Studio access
(Available in supported regions)
General, modest coding tasks
Content creation
Image understanding
Daily productivity and lifestyle
Tips:
✓ Provide clear instructions
✓ Use for balanced tasks
✓ Use for long, less-structured content
Will structure and perform NLP tasks economically
Analyze this image and suggest improvements for the UI design
🖼️ Image understanding
💡 Design insights
📝 Clear explanations
Prompting Techniques:
Attach or describe the image thoroughly
Ask for short, actionable advice
Request both text and code solutions
Gemini Ultra + - Reasoning
Poor performance, glitchy, and forgetful at times
Google's most capable model
🎯 Some accuracy
🔬 Complex reasoning attempts
📊 Analytics
🖼️ Promised multimodal understanding (not exactly true though)
Limitations:
Limited availability
Enterprise focus
(Access through Google Cloud)
Really good for coding in Colab
Tips:
✓ Provide comprehensive context
✓ Repeat prompts when needed
✓ Utilize advanced capabilities of other models
Analyze this research paper and code implementation, suggesting optimization strategies
📚 Research analysis
💻 Code optimization
🔍 Deep insights
Prompting Techniques:
Provide full source or summary
Ask for step-by-step improvements
Request performance metrics
Gemini Classic
+ -
Basic NLP tasks
Limited performance; may struggle with retaining instructions
Not recommended for complex or demanding tasks
⚡⚡ Fast response
🗣️ Voice enabled
🎨 Basic DALL‑E integration
Limitations:
4,096 tokens
Routine queries
Simple content creation
Light tasks
Tips:
✓ Use for rapid Q&A
✓ Provide brief context
✓ Ideal for straightforward tasks
Compare the performance of two simple apps in real time
Note: May require repeated instructions due to limited memory
⏱️ Quick comparison
📊 Basic data summary
Prompting Techniques:
Ask for a brief overview
Provide concise context
Request a short summary