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: December 2025.
OpenAI GPT Family
by OpenAI
OpenAI's most advanced AI system offering versatile capabilities across text, vision, and reasoning. The family includes GPT-5.1 (latest, November 2025), GPT-5 (August 2025), GPT-4.5 (Orion, February 2025), GPT-4o (omni), o1-preview/o1-mini (reasoning models), and specialized models with multimodal capabilities. GPT-5.1 offers enhanced conversational abilities with customizable personalities and improved speed.
Pros
- •GPT-5.1 provides state-of-the-art performance with enhanced reasoning
- •GPT-5.1 offers customizable personalities and improved speed
- •Multiple performance modes (Auto, Fast, Thinking) for different needs
- •GPT-5 Thinking mode offers highest quality with extended processing
- •GPT-4o supports up to 128K token context window
- •Superior coding capabilities across all models
- •Enhanced reasoning with o1-series and GPT-5 Thinking modes
- •Multimodal capabilities (text, image, audio)
- •Fast response times with GPT-4o and GPT-5 Fast mode
Cons
- •Expensive compared to alternatives, especially GPT-5
- •Different capabilities across model variants
- •Knowledge cutoff for base models
- •Can hallucinate (generate false information)
- •Varying context window sizes by model variant
- •GPT-5 Thinking mode has usage limits
PricingCheck the latest prices at the official website
API usage: GPT-5.1 (pricing varies by mode), GPT-5 (pricing varies by mode), GPT-4.5 (legacy, available to Pro users), 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-preview ($15/million input tokens, $60/million output tokens), o1-mini ($3/million input tokens, $12/million output tokens). ChatGPT: Free (GPT-3.5), Plus ($20/month for GPT-5.1/GPT-5/GPT-4o), Team ($30/user/month), Enterprise (custom).
Claude Family
by Anthropic
A family of advanced AI assistants with exceptional reasoning, multimodal capabilities, and nuanced understanding. The latest generation includes Claude 4.5 models: Opus 4.5 (most powerful, November 2025), Sonnet 4.5 (best coding model, September 2025), and Haiku 4.5 (low latency, October 2025). Also includes Claude 3.5 and 3 series models.
Pros
- •Claude Opus 4.5 offers superior reasoning and agentic capabilities
- •Claude Sonnet 4.5 excels in coding and complex agent building
- •Claude Haiku 4.5 optimized for speed and cost efficiency
- •Enhanced computer use and autonomous agent functionality
- •Exceptional at understanding nuanced instructions
- •Strong code generation and analysis across all 4.5 models
- •Extended thinking mode available
- •High-quality image understanding
- •200K token context window
- •Agentic functionality with knowledge retention
Cons
- •Higher pricing for Opus 4.5 tier
- •Limited to English and a few other languages
- •Less multimodal capability than GPT-5
- •Knowledge cutoff limitations
- •Lacks native voice interface
- •Newer 4.5 models may have evolving features
PricingCheck the latest prices at the official website
Claude API: Opus 4.5 ($15/million input tokens, $75/million output tokens), Sonnet 4.5 ($3/million input tokens, $15/million output tokens), Haiku 4.5 ($0.80/million input tokens, $4/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 3 Pro/Deep Think (latest, November 2025), Gemini 2.0 Flash/Pro, Gemini 1.5 Pro/Flash, and lightweight Gemma 3 open models. Gemini 3 Pro is Google's most powerful model, designed for complex reasoning and problem-solving with enhanced multimodal capabilities.
Pros
- •Gemini 3 Pro offers state-of-the-art reasoning and problem-solving
- •Massive 1-2M token context windows (1.5 Pro)
- •Strong Google Search integration
- •Multimodal understanding of text, images, audio, video
- •Enhanced reasoning capabilities with Gemini 3 Deep Think
- •Gemini 2.0 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: 3 Pro (pricing varies), 2.0 Flash ($0.075/million input tokens, $0.30/million output tokens), 1.5 Pro ($1.25/million input tokens, $5/million output tokens), 1.5 Flash ($0.075/million input tokens, $0.30/million output tokens). Gemini Advanced: $19.99/month (includes Google One AI Premium with 2TB storage). Gemini 3 Deep Think available on AI Ultra plan.
Grok 3
by xAI
xAI's multimodal AI assistant with real-time information access and advanced reasoning capabilities. Includes Grok 3 (latest, February 2025), Grok-2, and Grok-1.5 models. Grok 3 features enhanced contextual awareness and reasoning skills, making it competitive with top-tier models.
Pros
- •Grok 3 offers enhanced contextual awareness and reasoning
- •Real-time internet access via X platform
- •Less restrictive content policies
- •Up to 128K token context window
- •Optional reasoning mode with visible thinking
- •Web browsing capabilities
- •Free with X Premium subscription ($8/month)
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: Grok 3 (pricing varies), Grok-2 ($0.60/million input tokens, $2.40/million output tokens), Grok-1.5 ($0.125/million input tokens, $0.125/million output tokens).
Llama 4
by Meta
Meta's latest open-source large language model family released in April 2025. Features mixture-of-experts (MoE) architecture and true multimodal capabilities processing text, audio, video, and images. Includes Llama 4 Scout (109B total, 17B active, 10M context) and Llama 4 Maverick (400B total, 17B active, 1M context).
Pros
- •Revolutionary mixture-of-experts architecture for efficiency
- •Massive context windows (up to 10M tokens for Scout)
- •True multimodal capabilities (text, audio, video, images)
- •Open-source with commercial use permissions (Llama 4 Community License)
- •Excellent reasoning and instruction following
- •Strong coding and mathematical capabilities
- •Multilingual support (12 languages)
- •Competitive performance with closed models
Cons
- •Requires significant resources for self-hosting
- •Larger models need substantial GPU resources
- •Less turnkey than hosted alternatives
- •License restrictions (700M monthly users limit before commercial license required)
- •Requires technical expertise to deploy
- •Llama 4 Behemoth (2T parameters) still in training
PricingCheck the latest prices at the official website
Free to download and use with Llama 4 Community License. Available via AWS Bedrock, Azure AI, and other cloud providers. Cloud hosting costs vary by provider.
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).
DeepSeek Models
by DeepSeek
A family of powerful AI models from China with exceptional mathematical and coding capabilities. Includes DeepSeek V3.2 (latest, December 2025), DeepSeek V3.2-Speciale, DeepSeek R1 (reasoning model with visible thinking), DeepSeek V3, and DeepSeek Coder. V3.2 models rival top-tier systems like GPT-5 and Gemini 3 in reasoning, coding, and mathematical problem-solving.
Pros
- •DeepSeek V3.2 rivals GPT-5 and Gemini 3 in performance
- •128K token context window
- •Excellent mathematical and reasoning capabilities
- •State-of-the-art reasoning with R1
- •Open-source under MIT license (V3.2)
- •Cost-efficient compared to GPT-4/GPT-5
- •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
DeepSeek API: V3.2 (pricing varies), V3 ($0.14/million input tokens, $0.56/million output tokens), R1 ($0.55/million input tokens, $2.19/million output tokens), Coder ($0.14/million input tokens, $0.28/million output tokens). V3.2 open-source under MIT license. Generally more cost-effective than GPT-4/GPT-5.
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).