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. Last updated: May 2025.
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), o3/o4-mini (reasoning models), and specialized models like o1 (advanced 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 reasoning with o-series models
- •Multimodal capabilities (text, image, audio)
- •Strong reasoning with o1/o3/o4-mini 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 ($2.00/million input tokens, $8.00/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), o4-mini ($0.50/million input tokens, $1.50/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 multiple tiers: 3.7 Sonnet (newest with reasoning), 3.5 Sonnet/Haiku, and 3 Opus/Sonnet/Haiku.
Pros
- •Superior reasoning capabilities with 3.7 Sonnet
- •Exceptional at understanding nuanced instructions
- •Strong code generation and analysis
- •Extended thinking mode in Claude 3.7 Sonnet
- •High-quality image understanding
- •200K token context window
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: 3.7 Sonnet ($3/million input tokens, $15/million output tokens), 3.5 Sonnet ($3/million input tokens, $15/million output tokens), 3.5 Haiku ($0.80/million input tokens, $4/million output tokens), 3 Opus ($15/million input tokens, $75/million output tokens). Claude Pro subscription: $20/month, Teams: $30/user/month.
Gemini Family
by Google
Google's AI system featuring multiple versions: Gemini 2.5 Pro/Flash (newest), Gemini 2.0, Gemini 1.5, and lightweight Gemma 3 open models. Offers strong multimodal capabilities integrated with Google's ecosystem.
Pros
- •Massive 1-2M token context windows
- •Strong Google Search integration
- •Multimodal understanding of text, images, audio
- •Reasoning capabilities with Gemini 2.5
- •Gemini 2.5 Flash balances speed and performance
- •Direct integration with Google Workspace
Cons
- •Pro models more expensive than Flash versions
- •Varying performance across model versions
- •Less reliable for coding than some competitors
- •Regional availability limitations
- •Safety filters may limit some use cases
PricingCheck the latest prices at the official website
Gemini API: 2.5 Pro ($3.50/million input tokens, $10.50/million output tokens), 2.5 Flash ($0.15/million input tokens, $0.60/million output tokens), 1.5 Pro ($0.70/million input tokens, $2.10/million output tokens). Gemini Advanced: $19.99/month (includes Google One AI Premium).
Grok 3
by xAI
xAI's latest multimodal AI assistant with real-time information access and advanced reasoning capabilities. Includes Grok 3 (flagship) and Grok 3 mini (more efficient) models with optional reasoning modes.
Pros
- •Real-time internet access
- •Less censorship than other major LLMs
- •Up to 1M token context window
- •Optional reasoning mode with visible thinking
- •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 3 ($6/million tokens blended), Grok 3 mini Reasoning ($0.35/million tokens blended).
Llama 4
by Meta
Meta's newest multimodal AI model family with three variants: Scout (balanced everyday use), Maverick (most powerful), and Behemoth (largest, used for training the others). Features true multimodal capabilities processing both text and images, plus a sophisticated mixture-of-experts architecture for efficient processing.
Pros
- •Massive context windows (up to 10M tokens for Scout)
- •Advanced multimodal capabilities (text and images)
- •Innovative mixture-of-experts architecture
- •More balanced responses than previous models
- •Reduced false refusals on benign prompts
- •Improved steerability with system prompts
Cons
- •Limited API availability compared to closed models
- •Requires significant resources for self-hosting
- •Less extensive documentation than Llama 3
- •Still developing 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: Scout ($0.27/million tokens blended), Maverick ($0.35/million tokens blended). Open-sourced for research under Meta's Llama license.
Llama 3
by Meta
Meta's open-source large language model available in various parameter sizes up to 405B (Llama 3.1). Trained on 15 trillion tokens with context windows up to 128K, offering significantly improved reasoning and multimodal capabilities.
Pros
- •Open-source with commercial use permissions
- •Excellent reasoning and instruction following
- •Strong coding and mathematical capabilities
- •Multiple model sizes for different hardware
- •Multimodal capabilities in newer versions
- •Competitive performance with closed models
Cons
- •Requires resources for self-hosting larger models
- •Larger models need significant GPU resources
- •Less turnkey than hosted alternatives
- •Knowledge cutoff (December 2023)
- •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 3.2/3.3
by Meta
Meta's latest Llama iterations with expanded vision capabilities (3.2) and enhanced performance (3.3). Available in various sizes from 1B to 90B parameters with open-source weights for research and commercial use.
Pros
- •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
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).
Mistral AI Models
by Mistral AI
A suite of powerful open-source and proprietary models from small (Mistral Small 3/3.1) to large (Mistral Large 2) sizes. Known for excellent performance-to-parameter ratio and specialized capabilities like Codestral for programming.
Pros
- •Excellent performance for size
- •Strong coding capabilities with Codestral
- •Good multilingual performance
- •Open weights for smaller models
- •Efficient token usage and processing
- •128K context window for newer models
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 3.1 ($0.15/million input tokens, $0.15/million output tokens), Large 2 ($3.00/million input tokens, $15.00/million output tokens), Codestral ($0.45/million input tokens, $0.90/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 advanced AI assistant, featuring enhanced reasoning, processing speed, and a 200K token context window. Particularly excels at complex tasks and document analysis.
Pros
- •200K token context window
- •Superior reasoning and task processing
- •Exceptional document understanding
- •Fast processing compared to earlier models
- •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: $3/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 3.5 and GPT-4 access, higher limits, and longer memory. Pro+: $30/month with additional daily queries and extended features. API pricing varies by model.
DeepSeek Models
by DeepSeek
A family of powerful AI models from China with exceptional mathematical and coding capabilities. Includes DeepSeek R1 (reasoning model) and DeepSeek V3, featuring 128K token context windows and competitive performance across benchmarks.
Pros
- •128K token context window
- •Excellent mathematical capabilities
- •State-of-the-art reasoning with R1
- •Cost-efficient compared to GPT-4
- •Advanced code generation
- •Good multilingual support
Cons
- •Less established ecosystem in Western markets
- •Fewer specialized enterprise features
- •Limited deployment options
- •Reflects Chinese political perspectives on some topics
- •Still gaining recognition globally
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. DeepSeek R1: $0.96/million tokens blended.
Gemma 3
by Google
Google's latest collection of lightweight, state-of-the-art open models designed to run directly on devices. Available in sizes from 1B to 27B parameters with advanced capabilities including vision.
Pros
- •Optimized for single GPU/TPU performance
- •Support for over 140 languages
- •128K token context window
- •Text and visual reasoning capabilities
- •Function calling support
- •Highly efficient for on-device applications
Cons
- •Less powerful than flagship Gemini models
- •Limited to images and short videos
- •Not suitable for enterprise-scale deployments
- •Requires technical knowledge to optimize
- •Less accurate than larger models for complex tasks
PricingCheck the latest prices at the official website
Open-source and free to use. Commercial API pricing (when available): Gemma 3 4B ($0.03/million tokens blended), Gemma 3 27B ($0.26/million tokens blended).