ChatGPT
The model that started the AI revolution
ChatGPT is the world's most widely used AI assistant, built on OpenAI's GPT-4o model. It excels at writing, coding, analysis, math, and multimodal tasks including vision and voice.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- Best-in-class coding and debugging
- Excellent at structured writing and editing
- Strong math and reasoning (o1/o3 models)
- Huge plugin and GPT ecosystem
- Multimodal: text, images, voice, files
Weaknesses
- Can hallucinate confidently
- Knowledge cutoff limits real-time info
- Free tier has usage limits
- Occasional over-refusals on edge cases
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| MMLU | 88.7% | Top 3 |
| HumanEval (Coding) | 90.2% | Top 3 |
| MATH | 76.6% | Top 5 |
| GPQA | 53.6% | Top 5 |
Example Prompts
Explain quantum computing to a 10-year-old using a simple analogy
Write a Python function that parses JSON and handles all edge cases
Analyze the pros and cons of remote work for a 500-person company
Create a 30-day content calendar for a SaaS startup
Claude
The most thoughtful and nuanced AI writer
Claude is Anthropic's flagship AI assistant, renowned for its nuanced writing, long-context understanding, and safety-focused design. Claude 3.5 Sonnet is widely considered the best model for writing and analysis.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- Best-in-class long-form writing and editing
- 200K token context window
- Nuanced, thoughtful responses
- Excellent at following complex instructions
- Strong coding with Artifacts feature
Weaknesses
- No image generation
- More cautious than competitors
- Fewer integrations than ChatGPT
- Can be verbose
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| MMLU | 88.7% | Top 3 |
| HumanEval (Coding) | 92.0% | Top 2 |
| MATH | 71.1% | Top 5 |
| Writing Quality | 95% | #1 |
Example Prompts
Rewrite this email to be more persuasive while keeping a professional tone
Summarize this 50-page report into a 1-page executive brief
Write a detailed product requirements document for a mobile app
Review my code and suggest improvements for readability and performance
Gemini
Google's multimodal AI powerhouse
Gemini is Google's most capable AI model, with a 1M token context window, deep Google ecosystem integration, and leading multimodal capabilities across text, images, audio, and video.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- 1M token context window (largest available)
- Deep Google Workspace integration
- Excellent at processing long documents
- Strong multimodal capabilities
- Real-time Google Search grounding
Weaknesses
- Inconsistent quality vs. GPT-4o
- Slower response times
- Less reliable for complex coding
- Fewer third-party integrations
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| MMLU | 90.0% | Top 2 |
| HumanEval (Coding) | 74.4% | Top 8 |
| MATH | 91.5% | #1 |
| Multimodal | 98.1% | #1 |
Example Prompts
Analyze this 200-page PDF and extract all key financial metrics
What are the main themes across these 10 research papers?
Describe what's happening in this image and suggest improvements
Solve this complex calculus problem step by step
Grok
Real-time AI with X/Twitter integration
Grok is Elon Musk's xAI model, uniquely integrated with X (Twitter) for real-time information access. It's known for its wit, willingness to tackle edgy topics, and up-to-the-minute knowledge.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- Real-time X/Twitter data access
- Less restrictive than competitors
- Witty and engaging personality
- Strong at current events and trends
- Included with X Premium
Weaknesses
- Smaller ecosystem than OpenAI/Google
- Less reliable for complex reasoning
- Limited integrations
- Requires X Premium subscription
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| MMLU | 87.5% | Top 5 |
| HumanEval (Coding) | 88.4% | Top 5 |
| MATH | 76.1% | Top 5 |
| Real-time Info | N/A | #1 |
Example Prompts
What's trending on X right now about AI?
Give me a witty take on the latest tech news
What are people saying about [topic] on social media today?
Summarize the biggest AI announcements from this week
Perplexity
AI-powered search with cited sources
Perplexity is an AI-powered answer engine that combines real-time web search with LLM reasoning. Every answer comes with cited sources, making it the go-to tool for research and fact-checking.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- Real-time web search with citations
- Every answer is sourced and verifiable
- Excellent for research and fact-checking
- Clean, focused interface
- Supports multiple underlying models
Weaknesses
- Not ideal for creative writing
- Less capable for complex coding
- Answers can be surface-level
- Limited conversation memory
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| Citation Accuracy | 94% | #1 |
| Factual Accuracy | 91% | #1 |
| MMLU | 85.1% | Top 8 |
| Search Quality | 97% | #1 |
Example Prompts
What are the latest developments in fusion energy research?
Compare the market share of major cloud providers in 2024
What does the latest research say about intermittent fasting?
Find recent studies on the effectiveness of remote work
Copilot
AI built into Microsoft 365 and Windows
Microsoft Copilot is powered by GPT-4o and deeply integrated into Windows, Microsoft 365, Edge, and Bing. It's the best AI for users already in the Microsoft ecosystem.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- Deep Microsoft 365 integration
- Built into Windows 11
- Free with Microsoft accounts
- Bing search integration
- DALL-E image generation included
Weaknesses
- Less powerful than standalone GPT-4o
- Tied to Microsoft ecosystem
- M365 Copilot is expensive
- Inconsistent across products
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| MMLU | 88.7% | Top 3 |
| Office Task Completion | 89% | #1 |
| HumanEval (Coding) | 90.2% | Top 3 |
| Image Generation | 92% | Top 3 |
Example Prompts
Draft a professional email declining a meeting request
Create a PowerPoint outline for a quarterly business review
Summarize my last 10 emails and flag action items
Generate an Excel formula to calculate compound interest
DeepSeek
Open-source powerhouse from China
DeepSeek shocked the AI world with models that rival GPT-4 at a fraction of the cost. DeepSeek-R1 is an open-source reasoning model that matches o1 performance on math and coding benchmarks.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- Matches GPT-4 at much lower cost
- Fully open-source weights
- Exceptional math and coding
- Chain-of-thought reasoning (R1)
- Free to use and self-host
Weaknesses
- Chinese company — data privacy concerns
- Censored on political topics
- Less polished UX than OpenAI
- Smaller ecosystem
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| MMLU | 88.5% | Top 3 |
| HumanEval (Coding) | 90.2% | Top 3 |
| MATH | 97.3% | #1 |
| AIME 2024 | 79.8% | #1 |
Example Prompts
Solve this differential equation and show all steps
Write an optimized sorting algorithm and explain the time complexity
Prove this mathematical theorem using first principles
Debug this Python code and explain what was wrong
Llama
Meta's open-source foundation model
Meta's Llama is the most widely used open-source LLM family. Llama 3.1 405B rivals GPT-4 in benchmarks and can be run locally, fine-tuned, or deployed on any infrastructure.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- Fully open weights — run anywhere
- Huge community and fine-tune ecosystem
- No usage fees or rate limits
- Privacy — runs 100% locally
- 405B model rivals GPT-4
Weaknesses
- Requires significant compute to run large models
- No built-in UI — needs wrapper
- Smaller models lag behind GPT-4
- No official support
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| MMLU | 88.6% | Top 3 |
| HumanEval (Coding) | 89.0% | Top 4 |
| MATH | 73.8% | Top 5 |
| Open LLM Leaderboard | 89.1% | #1 Open |
Example Prompts
Explain the transformer architecture in detail
Write a REST API in Python with authentication
Summarize this research paper in plain English
Create a custom chatbot persona for a customer service role
Mistral
Europe's leading open AI model
Mistral AI is a French startup producing highly efficient open-source models. Mistral Large 2 rivals GPT-4 while being significantly cheaper, and their small models are among the best for edge deployment.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- Excellent performance-to-cost ratio
- Strong multilingual capabilities
- GDPR-compliant European hosting
- Efficient small models for edge use
- Open weights for most models
Weaknesses
- Smaller ecosystem than US competitors
- Less polished consumer product
- Fewer integrations
- Smaller community than Llama
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| MMLU | 84.0% | Top 8 |
| HumanEval (Coding) | 92.1% | Top 2 |
| MATH | 76.0% | Top 5 |
| Multilingual | 91% | Top 3 |
Example Prompts
Translate this legal document from French to English
Write a GDPR-compliant privacy policy for a SaaS app
Create a multilingual customer support response template
Optimize this code to run on a low-power device
Qwen
Alibaba's multilingual AI model
Qwen is Alibaba's open-source LLM family, excelling at Chinese-English bilingual tasks and competitive on global benchmarks. Qwen2.5 rivals Llama 3 in most evaluations.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- Best Chinese-English bilingual model
- Strong coding and math
- Fully open source
- Competitive with Llama 3
- Free to use and self-host
Weaknesses
- Chinese company — data concerns
- Censored on sensitive topics
- Smaller Western community
- Less documentation in English
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| MMLU | 86.1% | Top 6 |
| HumanEval (Coding) | 86.6% | Top 6 |
| Chinese NLP | 94% | #1 |
| MATH | 83.1% | Top 4 |
Example Prompts
Translate this business proposal from Chinese to English
Write a marketing email targeting Chinese consumers
Explain this concept in both English and Mandarin
Analyze this Chinese-language document and summarize key points
Hugging Face
The GitHub of AI models
Hugging Face is the world's largest AI model hub with 500,000+ models, datasets, and Spaces. It's the go-to platform for researchers, developers, and anyone who wants to explore, fine-tune, or deploy open-source AI.
Quick Facts
Best for
Strengths & Weaknesses
Strengths
- 500,000+ open-source models
- Free model hosting and inference
- Transformers library — industry standard
- Datasets and evaluation tools
- Active research community
Weaknesses
- Not a single model — a platform
- Quality varies across models
- Requires technical knowledge
- Free tier has compute limits
Benchmarks
| Benchmark | Score | Rank |
|---|---|---|
| Models Available | 500K+ | #1 |
| Datasets | 100K+ | #1 |
| Monthly Users | 5M+ | #1 |
| GitHub Stars | 130K+ | #1 |
Example Prompts
Find the best open-source model for sentiment analysis
How do I fine-tune a BERT model on my custom dataset?
What's the difference between encoder and decoder models?
Deploy a text classification model as an API endpoint