Top AI Models
Explore the capabilities, strengths, weaknesses, and pricing of today's leading AI models to help you choose the right tool for your needs.
OpenAI GPT Family
by OpenAI
OpenAI's most advanced AI system offering versatile capabilities across text, vision, and reasoning. The family includes GPT-4.1 (newest), GPT-4o (omni), GPT-4 Turbo, and specialized models like o1 (for reasoning) and GPT-4 Vision.
Pros
- •State-of-the-art performance across tasks
- •GPT-4.1 supports massive 1M token context window
- •Superior coding capabilities in GPT-4.1
- •Enhanced instruction following in latest models
- •Multimodal capabilities (text, image, audio)
- •Strong reasoning with o1/o3 models
Cons
- •Expensive compared to alternatives
- •Different capabilities across model variants
- •Knowledge cutoff for base models
- •Can hallucinate (generate false information)
- •Varying context window sizes by model variant
PricingCheck the latest prices at the official website
API usage: GPT-4.1 (26% cheaper than GPT-4o: ~$1.85/million input tokens, $7.4/million output tokens), GPT-4o ($2.50/million input tokens, $10/million output tokens), GPT-4o-mini ($0.15/million input tokens, $0.60/million output tokens), o1-mini ($3/million input tokens, $12/million output tokens). ChatGPT: Free (GPT-3.5), Plus ($20/month for GPT-4.1/4o), Team ($30/user/month), Enterprise (custom).
Claude 3 Family
by Anthropic
A family of advanced AI assistants with exceptional reasoning, multimodal capabilities, and nuanced understanding. Available in three tiers: Opus (most powerful), Sonnet (balanced), and Haiku (fastest).
Pros
- •Superior reasoning capabilities
- •Exceptional at understanding nuanced instructions
- •Strong code generation and analysis
- •Accurate information retrieval
- •High-quality image understanding
- •200K token context window (Claude 3.5)
Cons
- •Higher pricing for Opus tier
- •Limited to English and a few other languages
- •Less multimodal capability than GPT-4o
- •Knowledge cutoff limitations
- •Lacks native voice interface
PricingCheck the latest prices at the official website
Claude API: Opus ($15/million input tokens, $75/million output tokens), Sonnet ($3/million input tokens, $15/million output tokens), Haiku ($0.25/million input tokens, $1.25/million output tokens). Claude Pro subscription: $20/month, Teams: $30/user/month.
Gemini Family
by Google
Google's AI system featuring three versions: Gemini Ultra (most capable), Gemini Pro (versatile), and Gemini Nano (efficient). Offers strong multimodal capabilities integrated with Google's ecosystem.
Pros
- •Exceptional performance on benchmarks
- •Strong Google Search integration
- •Multimodal understanding of text, images, audio
- •Specialized knowledge across domains
- •Deep learning research capabilities
- •Direct integration with Google Workspace
Cons
- •Ultra limited to Google AI Studio and enterprise
- •Varying performance across model versions
- •Less reliable for coding than some competitors
- •Regional availability limitations
- •Strict safety filters may limit some use cases
PricingCheck the latest prices at the official website
Gemini API: Gemini Pro ($0.00035/1K input chars, $0.00035/1K output chars), Gemini Pro Vision ($0.0004/1K input chars, $0.00035/1K output chars). Gemini Advanced: $19.99/month (includes Google One AI Premium).
Grok-2
by xAI
xAI's advanced multimodal AI assistant, purpose-built to combine knowledge and reasoning with real-time data access. Known for its uncensored responses and wit, and integration with X (formerly Twitter).
Pros
- •Real-time internet access
- •Less censorship than other major LLMs
- •Strong coding and mathematical capabilities
- •Conversational personality with humor
- •Web browsing capabilities
- •Free with X Premium subscription
Cons
- •Limited enterprise features
- •Newer model with less proven track record
- •Less robust safety mechanisms
- •Limited fine-tuning options
- •Potential for controversial responses
PricingCheck the latest prices at the official website
Free with X Premium subscription ($8/month). API access via Grok-1 ($5/million input tokens, $5/million output tokens), Grok-1 Vision ($10/million input tokens, $10/million output tokens).
Llama 4
by Meta
Meta's newest multimodal AI model family with two initial variants: Scout (balanced) and Maverick (most powerful). Features true multimodal capabilities processing both text and images, plus an innovative mixture-of-experts architecture for efficient processing.
Pros
- •Industry-leading context window
- •Advanced multimodal capabilities (text and images)
- •Innovative 'expert' architecture for efficient processing
- •More balanced political responses than previous models
- •Reduced false refusals on benign prompts
- •Improved steerability with system prompts
Cons
- •Currently only available on select cloud platforms
- •Requires significant resources for self-hosting
- •More limited availability than Llama 3
- •Smaller ecosystem of fine-tuned variants
- •Regional availability restrictions may apply
PricingCheck the latest prices at the official website
Available via AWS SageMaker JumpStart, Amazon Bedrock, and Microsoft Azure AI Studio. Pricing varies by provider but generally follows pay-as-you-go model based on token usage. Open-sourced for research under Meta's Llama license.
Llama 3
by Meta
Meta's open-source large language model available in 8B, 70B, and 405B parameter sizes. Trained on 15 trillion tokens with an 8K context window, offering significantly improved reasoning and multimodal capabilities.
Pros
- •Open-source with commercial use permissions
- •Excellent reasoning and instruction following
- •Strong coding and mathematical capabilities
- •Doubled context window from Llama 2 (8K tokens)
- •Multimodal capabilities in newer versions
- •Multiple model sizes for different hardware
Cons
- •Requires local compute resources for self-hosting
- •Larger models need significant GPU resources
- •Less turnkey than hosted alternatives
- •Potential environmental impact from self-hosting
- •Requires technical expertise to deploy
PricingCheck the latest prices at the official website
Free to download and use with license. Cloud hosting costs vary by provider.
Llama 3.2
by Meta
Meta's latest multimodal LLM with expanded context window (128K tokens) and visual capabilities. Available in 1B, 3B, 11B, and 90B parameter sizes with open-source weights for research and commercial use.
Pros
- •Massive 128K token context window
- •True multimodal capabilities with images
- •Multiple size options for various hardware
- •Open-source with commercial use permissions
- •Strong performance on visual reasoning tasks
- •Supports high-resolution images (1120×1120)
Cons
- •Larger models require significant GPU resources
- •Knowledge cutoff (December 2023)
- •EU licensing restrictions for multimodal models
- •Less enterprise-ready than closed alternatives
- •Requires technical expertise to deploy
PricingCheck the latest prices at the official website
Free to download and use with license. Cloud hosting costs vary by provider (Azure AI, AWS Bedrock, Vertex AI).
Llama 2
by Meta
Meta's foundation open-source LLM available in 7B, 13B, and 70B parameter sizes. Trained on 2 trillion tokens with a 4K context window, serving as the base for many fine-tuned applications.
Pros
- •Open-source with commercial use permissions
- •Variety of model sizes for different hardware
- •Strong performance for its parameter count
- •Widely adopted community support
- •Extensive fine-tuned variations available
- •Good balance of capability and efficiency
Cons
- •Outperformed by Llama 3 on all benchmarks
- •Smaller context window (4K tokens)
- •Less capable at complex reasoning
- •Requires compute resources for self-hosting
- •Knowledge cutoff limitations
PricingCheck the latest prices at the official website
Free to download and use with license. Cloud hosting costs vary by provider.
Mistral AI Models
by Mistral AI
A suite of powerful open-source and proprietary models in small (Mistral 7B), medium (Mixtral 8x7B), and large (Mistral Large) sizes. Known for excellent performance-to-parameter ratio and specialized capabilities.
Pros
- •Excellent performance for size
- •Mixtral uses mixture-of-experts architecture
- •Strong coding and reasoning capabilities
- •Open weights for smaller models
- •Efficient token usage and processing
- •Good multilingual performance
Cons
- •Large model is closed-weight, not open-source
- •Smaller context window than some competitors
- •Less multimodal capability than leading models
- •Newer to market with evolving ecosystem
- •Limited enterprise-specific optimizations
PricingCheck the latest prices at the official website
Mistral API: Small ($0.20/million input tokens, $0.60/million output tokens), Medium ($0.80/million input tokens, $2.40/million output tokens), Large Instruct ($2.50/million input tokens, $7.50/million output tokens), Large Vision ($5.00/million input tokens, $15.00/million output tokens).
GPT-3.5 Turbo
by OpenAI
OpenAI's efficient and cost-effective language model that powers the free tier of ChatGPT. Balances performance with efficiency for general-purpose text generation and conversation.
Pros
- •Very cost-efficient
- •Fast response times
- •Solid general-purpose capabilities
- •Widely supported in applications
- •Good for most everyday tasks
- •16K context window option
Cons
- •Less capable than GPT-4 family
- •Limited reasoning on complex tasks
- •More prone to hallucinations
- •Less nuanced instruction following
- •Limited to text-only capabilities
PricingCheck the latest prices at the official website
API: $0.50/million input tokens, $1.50/million output tokens for 4K context; $0.75/million input tokens, $2.25/million output tokens for 16K context. Free on basic ChatGPT.
Microsoft Copilot
by Microsoft
Microsoft's AI assistant integrating OpenAI's models with Microsoft's applications and services. Available as a standalone service and embedded throughout Microsoft 365 applications.
Pros
- •Deep integration with Microsoft ecosystem
- •Combines GPT-4 capabilities with Microsoft data
- •Specialized versions for different applications
- •Enterprise-ready with compliance features
- •Context-aware across Microsoft 365
- •Enhanced web search through Bing
Cons
- •Premium features require subscription
- •Varying capabilities across different versions
- •Requires Microsoft account
- •Performance depends on connection quality
- •Less transparent about underlying models
PricingCheck the latest prices at the official website
Copilot Pro: $20/month for individuals. Copilot for Microsoft 365: $30/user/month for business. Some basic features available for free.
Claude 3.5 Sonnet
by Anthropic
Anthropic's latest and most advanced AI assistant, featuring enhanced reasoning, doubled processing speed, and a 200K token context window. Particularly excels at complex tasks and document analysis.
Pros
- •200K token context window (largest available)
- •Superior reasoning and task processing
- •Exceptional document understanding
- •2x faster processing than Claude 3 Sonnet
- •Strong coding and analytical capabilities
- •Balanced performance and cost
Cons
- •Higher price than previous Claude versions
- •Limited multilingual capabilities
- •API integrations still developing
- •Not as widely supported as OpenAI models
- •Less multimodal than GPT-4o
PricingCheck the latest prices at the official website
API: $5/million input tokens, $15/million output tokens. Claude Pro: $20/month for individual access with higher usage limits. Claude Team: $30/user/month for business use.
Pi 2.0
by Inflection AI
An empathetic, conversational AI assistant focused on natural dialogue and emotional intelligence. Designed to be a helpful, supportive companion with strong contextual understanding.
Pros
- •Exceptional conversational abilities
- •Empathetic responses and emotional intelligence
- •Remembers conversation context well
- •Voice interaction capabilities
- •Quick response times
- •Simple, user-friendly interface
Cons
- •Less technical capability than some competitors
- •Limited to general knowledge domains
- •Fewer advanced features than GPT-4 or Claude
- •No commercial API access
- •Limited fine-tuning options
PricingCheck the latest prices at the official website
Free tier available. Pi+ subscription: $8/month.
Perplexity AI
by Perplexity
An AI-powered answer engine that combines language models with real-time web search to provide up-to-date, cited information and comprehensive answers to queries.
Pros
- •Real-time information retrieval
- •Provides sources and citations
- •Uses multiple underlying models
- •Clean, search-focused interface
- •Multimodal capabilities
- •Excellent for research tasks
Cons
- •Pro tier required for model selection
- •Limited conversation memory in free tier
- •Search-dependent for many queries
- •Less capable for creative tasks
- •Fewer customization options
PricingCheck the latest prices at the official website
Free tier with limited daily usage. Pro: $20/month, includes Claude Opus and GPT-4 access, higher limits, and longer memory. Pro+: $30/month with additional daily queries and video calling. API pricing varies by model.
DeepSeek V3
by DeepSeek
A powerful Chinese-developed AI model with exceptional mathematical and coding capabilities. Features a 128K token context window and competitive performance across reasoning benchmarks.
Pros
- •Massive 128K token context window
- •Excellent mathematical capabilities
- •Strong coding performance
- •Cost-efficient compared to GPT-4
- •Advanced reasoning capabilities
- •Good multilingual support
Cons
- •Less established ecosystem
- •Fewer specialized enterprise features
- •Limited deployment options
- •Echos Chinese political perspectives on some topics
- •Still gaining recognition in Western markets
PricingCheck the latest prices at the official website
Various hosting providers with different pricing models. Generally more cost-effective than GPT-4 for similar capabilities.