AI Models Guide
Complete guide to current and upcoming AI models including GPT-5, Claude 3.5, Gemini 2.0, Perplexity Pro, Meta Llama 3.1, and more with verified specifications, pricing, and benchmarks.
Information Accuracy Notice
This guide contains verified information about current AI models. Some specifications (parameters, benchmarks, context windows) are marked as "Unknown" when we cannot verify the accuracy from official sources. We prioritize accuracy over completeness and update information as it becomes publicly available.
AI Model Types and Architectures
AI models are built upon a variety of architectures, each suited to distinct tasks and applications. Here's a comprehensive breakdown of the major types and leading models available today.
By Learning Approach
Supervised Learning Models
Trained with labeled data for specific tasks
- • Speech recognition
- • Text classification
- • Fraud detection
- • Regression analysis
- • KNN, K-means, Random Forest
Unsupervised Learning Models
Discover patterns in unlabeled data
- • Trend analysis
- • Clustering algorithms
- • Traffic pattern recognition
- • Anomaly detection
- • Dimensionality reduction
Reinforcement Learning Models
Learn by trial-and-error, goal-oriented
- • Robotics control
- • Stock trading strategies
- • Gaming AI
- • Autonomous systems
- • Resource optimization
By Model Architecture
| Category | Key Models & Architectures | Main Applications |
|---|---|---|
| Rule-Based Systems | Static decision trees, Expert systems | Simple chatbots, automation, business rules |
| Machine Learning | Linear/Logistic Regression, Decision Trees, Random Forest | Spam filters, prediction, classification, recommendation systems |
| Deep Learning | CNNs, RNNs, LSTMs, GRUs | Image recognition, time series, language modeling, speech processing |
| Transformer Models | BERT, GPT, T5, RoBERTa | NLP, text generation, translation, question answering |
| Generative Models | GANs, VAEs, Diffusion, Stable Diffusion | Synthetic data/images, video synthesis, 3D scene creation |
| Large Language Models | GPT-5, Claude 4.5, Gemini 3.0, Llama 4 | Chatbots, research, text generation, code generation |
| Multimodal Models | GPT-4o, Gemini 3.0, Claude 4.5, Perplexity Pro | Text + images + audio, cross-modal understanding, content creation |
| 3D Generation Models | NeRFs, Stable Virtual Camera, Luma AI | 3D environments from images, virtual reality, gaming assets |
Notable Flagship AI Models
Text & Multimodal
- GPT-5 (OpenAI): Revolutionary reasoning, human-level performance
- Claude 4.5 Opus (Anthropic): Industry-leading safety and reasoning
- Gemini 3.0 Ultra (Google): 10M token context, scientific capabilities
- Perplexity Pro: Real-time web search integration
Specialized & Open Source
- Llama 4 Maverick (Meta): 10M token context, open source
- Mistral Large 3: Exceptional coding and reasoning
- DeepSeek-V3: Outstanding math and coding performance
- Phi-4 (Microsoft): Efficient small model with strong reasoning
Key Takeaways
- • AI models range from classic ML approaches to cutting-edge deep learning architectures
- • Large Language Models and multimodal models dominate current innovation
- • Generative models enable rich creation of synthetic data, images, and videos
- • Transformer-based models power most language and content generation tasks
- • Open-source projects are democratizing access to cutting-edge capabilities
- • Model selection depends on the specific task requirements and constraints
Claude 3.5 Opus
Anthropic
Anthropic's most capable current model with industry-leading safety and reasoning capabilities.
Benchmark Scores
Key Features
- •State-of-the-art reasoning
- •Superior safety alignment
- •Advanced multimodal capabilities
Claude 3.5 Sonnet
Anthropic
Anthropic's current Sonnet model with strong performance across reasoning and coding tasks.
Benchmark Scores
Key Features
- •Strong reasoning capabilities
- •Excellent coding performance
- •Multimodal understanding
Command
Cohere
Cohere's enterprise-optimized model with excellent reasoning and safety features.
Benchmark Scores
Key Features
- •Enterprise-focused design
- •Strong reasoning capabilities
- •Multilingual support
DeepSeek Coder
DeepSeek
DeepSeek's coding-focused model with outstanding performance on programming tasks.
Benchmark Scores
Key Features
- •Exceptional coding performance
- •Open source availability
- •Strong mathematical reasoning
Gemini 2.0 Pro
Google's current Gemini Pro model with large context window and multimodal capabilities.
Benchmark Scores
Key Features
- •1M token context window
- •Advanced multimodal capabilities
- •Integration with Google Workspace
Gemini 3.0 Pro (Coming Soon)
Google's upcoming Gemini 3.0 Pro model - specifications and benchmarks to be announced.
Benchmark Scores
Key Features
- •Enhanced multimodal capabilities
- •Improved reasoning performance
- •Better coding abilities
GPT-4o
OpenAI
OpenAI's optimized GPT-4 model with improved performance, speed, and multimodal understanding.
Benchmark Scores
Key Features
- •Enhanced multimodal capabilities
- •Improved reasoning and coding
- •Better factual accuracy
GPT-5
OpenAI
OpenAI's latest flagship model achieving human-level performance across cognitive tasks with unprecedented reasoning capabilities.
Benchmark Scores
Key Features
- •Revolutionary reasoning capabilities
- •Advanced multimodal understanding
- •Scientific research assistance
Grok-2
xAI
xAI's current Grok model with real-time web access and reasoning capabilities.
Benchmark Scores
Key Features
- •Real-time internet access
- •Advanced reasoning capabilities
- •Humor and personality integration
Inflection-1
Inflection AI
Inflection's current model designed for personal AI assistance with strong reasoning and safety.
Benchmark Scores
Key Features
- •Advanced reasoning capabilities
- •Personal AI assistant focus
- •Enhanced safety measures
Llama 3.1 70B
Meta
Meta's flagship 70B parameter model with strong performance across reasoning and coding tasks.
Benchmark Scores
Key Features
- •Strong reasoning capabilities
- •Excellent coding performance
- •Open source availability
Llama 3.1 8B
Meta
Meta's efficient 8B parameter model with strong coding performance for its size.
Benchmark Scores
Key Features
- •Efficient small model
- •Strong coding capabilities
- •Fast inference speed
Mistral Medium
Mistral AI
Mistral's medium model with strong performance across reasoning and coding tasks.
Benchmark Scores
Key Features
- •Advanced reasoning capabilities
- •Superior coding performance
- •Multimodal understanding
Mistral Small
Mistral AI
Mistral's efficient small model with exceptional performance per dollar.
Benchmark Scores
Key Features
- •Excellent price-performance ratio
- •Strong coding capabilities
- •Multilingual support
Perplexity Pro
Perplexity AI
Perplexity's current model optimized for research and real-time information retrieval with web search capabilities.
Benchmark Scores
Key Features
- •Real-time web search integration
- •Advanced reasoning capabilities
- •Multimodal understanding
Phi-2
Microsoft
Microsoft's small but mighty model that punches above its weight class.
Benchmark Scores
Key Features
- •Exceptional efficiency
- •Strong reasoning for size
- •Fast inference
Titan Text
Amazon
Amazon's enterprise-focused text model optimized for AWS infrastructure.
Benchmark Scores
Key Features
- •AWS ecosystem integration
- •Enterprise security features
- •Cost-effective pricing
Current AI Model Landscape
Key Insights
🚀 Performance Breakthroughs
- • GPT-5 achieves state-of-the-art reasoning capabilities
- • Multiple models now exceed 90% on MMLU benchmarks
- • Large context windows (1M+ tokens) available on flagship models
- • Multimodal capabilities are now baseline features
- • Perplexity models bring real-time web search to mainstream AI
💰 Cost Efficiency
- • Open source models compete with proprietary alternatives
- • Significant price reductions across all model tiers
- • Smaller models achieve impressive performance per dollar
- • Enterprise pricing becomes more accessible
- • Subscription models (Perplexity, Inflection) offer predictable costs