Magai offers 30 different AI models across various categories within a single, unified interface. Users can seamlessly switch between these models to optimize their workflows and leverage the unique strengths of each model for different tasks. Here's a comprehensive overview of our current active models.
Model Overview Table
Model | Context Window | Multiplier |
Auto | 128K | 1x |
Claude Opus 4.1 | 200K | 6x |
Claude Sonnet 3.5 | 200K | 0.4x |
Claude Sonnet 3.7 | 200K | 2x |
Claude Sonnet 4 | 200K | 2x |
DeepSeek R1 | 64K | 0.2x |
DeepSeek V3 | 64K | 0.1x |
Gemini 2.5 Pro | 1M | 0.8x |
Gemini 2.5 Flash | 1M | 0.1x |
GPT-4.1 | 1M | 0.7x |
GPT-4.1 Mini | 1M | 0.2x |
GPT-4.1 Nano | 1M | 0.1x |
GPT-4o | 128K | 1x |
GPT-5 | 400K | 0.8x |
GPT-5 Mini | 400K | 0.2x |
GPT-5 Nano | 400K | 0.03x |
Grok 3 | 131K | 2x |
Grok 3 Mini | 131K | 0.1x |
Grok 4 | 256K | 2x |
Llama 4 Maverick | 1M | 0.1x |
Llama 4 Scout | 328K | 0.1x |
Mistral | 128K | 1x |
Mistral Pixtral | 128K | 1x |
Nemotron 70B | 131K | 0.03x |
Nova Lite | 300K | 0.24x |
Nova Micro | 128K | 0.01x |
Nova Pro | 300K | 0.3x |
o3 | 200K | 0.7x |
o3 Mini | 200K | 0.4x |
o4 Mini | 200K | 1x |
Perplexity Deep Research | 200K | 0.7x |
Perplexity Sonar | 127K | 0.2x |
Perplexity Sonar Pro | 200K | 2x |
Voice GPT | - | 1x |
Detailed Model Descriptions
1. Auto
Context Window: 128K
Multiplier: 1x
Overview: Auto intelligently selects the most appropriate model for your task, optimizing for both performance and word balance efficiency.
2. Claude Opus 4.1
Context Window: 200K
Multiplier: 6x
Overview: Claude Opus 4.1 represents the pinnacle of advanced AI capabilities, delivering exceptional performance for the most demanding and complex tasks. It's engineered for deep analysis, sophisticated reasoning, and handling intricate multi-step problems with unparalleled accuracy and nuance.
Key Features:
Superior Reasoning Capabilities
Advanced Multi-Modal Understanding
Exceptional Creative Problem-Solving
Deep Contextual Comprehension
Use Cases:
Complex research and analysis
Advanced code architecture and debugging
Sophisticated creative writing and storytelling
High-stakes decision support and strategic planning
3. Claude Sonnet 3.5
Context Window: 200K
Multiplier: 0.4x
Overview: Claude Sonnet 3.5 delivers exceptional value by combining advanced language capabilities with highly efficient processing. It represents the optimal balance between performance and cost, making sophisticated AI accessible for a wide range of applications without compromising on quality.
Key Features:
Enhanced Context Management
Refined Language Generation
Safety and Alignment
Customization Options
Use Cases:
Professional content creation and editing
Sophisticated customer support
Educational tools and tutoring systems
Business research and analysis
4. Claude Sonnet 3.7
Context Window: 200K
Multiplier: 2x
Overview: A powerful evolution in the Claude Sonnet line, offering strong reasoning capabilities and contextual understanding at a balanced performance tier. It provides robust advanced features while maintaining reasonable computational efficiency.
Key Features:
Strong Reasoning Capabilities
Enhanced Nuance in Responses
Advanced Instruction Following
Improved Handling of Complex Requests
Use Cases:
Detailed problem-solving
Quality content creation
Professional research assistance
Strategic analysis and planning
5. Claude Sonnet 4
Context Window: 200K
Multiplier: 2x
Overview: Claude Sonnet 4 represents a refined advancement in AI capabilities, delivering robust performance with enhanced reasoning and comprehension. It offers professional-grade features at a balanced computational cost, making it ideal for diverse applications requiring depth and reliability.
Key Features:
Advanced Analytical Reasoning
Improved Multi-Step Problem Solving
Enhanced Natural Language Understanding
Reliable Complex Task Execution
Use Cases:
Technical documentation and analysis
Comprehensive content development
Business intelligence and reporting
Collaborative project assistance
6. DeepSeek R1
Context Window: 64K
Multiplier: 0.2x
Overview: DeepSeek R1 specializes in research-oriented tasks, with excellent reasoning capabilities at a moderate cost.
7. DeepSeek V3
Context Window: 64K
Multiplier: 0.1x
Overview: A cost-effective option with solid performance for everyday tasks and lightweight applications.
8. Gemini 2.5 Pro
Context Window: 1M
Multiplier: 0.8x
Overview: Google's advanced multimodal model featuring an extensive context window and powerful reasoning capabilities for complex tasks.
9. Gemini 2.5 Flash
Context Window: 1M
Multiplier: 0.1x
Overview: Gemini 2.5 Flash is Google's fastest and most cost-efficient large language model to date. Designed for real-time performance, it delivers lightning-fast responses across an expansive 1 million token context window—making it perfect for applications that demand both speed and scale without compromising coherence.
Key Features:
1M token context window for handling complex, long documents
Exceptional speed and responsiveness
Low compute cost for high-volume usage
Multilingual and multimodal readiness (vision support in some deployments)
Use Cases:
Real-time chatbots and virtual assistants
High-frequency content generation and iteration
Long document parsing and summarization at scale
Fast Q&A systems, search agents, or browser copilots
10. GPT-4.1
Context Window: 1M
Multiplier: 0.7x
Overview: GPT-4.1 is a long-context powerhouse developed by OpenAI, offering advanced reasoning, reliable coherence, and the ability to handle extremely large documents. With a context window of 1 million tokens and an efficient usage multiplier, it’s ideal for users who need both depth and scale in their outputs.
Key Features:
Massive 1M token context window for seamless handling of long inputs
High accuracy and logical reasoning across diverse topics
Maintains consistency over long-form content
Excellent balance of quality and efficiency for premium applications
Use Cases:
Document analysis, contract review, and legal summaries
Book-length content generation or editing
Long conversational agents and memory-heavy chatbots
Data synthesis and multi-source research projects
11. GPT-4.1 Mini
Context Window: 1M
Multiplier: 0.2x
Overview: GPT-4.1 Mini is a lighter, more efficient variant of GPT-4.1. It retains much of the reasoning power and long-context support of its full-size counterpart while significantly reducing compute cost, making it a practical option for teams and individuals with high-volume needs.
Key Features:
Full 1M token context window
Strong reasoning and natural language capabilities
Optimized for affordability and scalability
Excellent performance for routine or semi-complex tasks
Use Cases:
Document summarization and planning
Scalable chatbots and workflow automation
Email generation and rewriting
Knowledge base and technical writing
12. GPT-4.1 Nano
Context Window: 1M
Multiplier: 0.1x
Overview: GPT-4.1 Nano is the most cost-efficient model in the GPT-4.1 lineup. It offers solid performance for general use cases while minimizing resource consumption. Ideal for high-frequency, low-complexity interactions or budget-conscious teams needing consistent output across long contexts.
Key Features:
1M token context window with ultra-low cost
Lightweight design suitable for continuous use
Quick response times
Maintains core comprehension abilities
Use Cases:
High-volume support tickets and chatbot flows
Simple report generation and QA drafts
Lightweight assistants for data entry or sorting
Routine educational or content tasks
13. GPT-4o
Context Window: 128K
Multiplier: 1x
Overview: GPT-4o delivers OpenAI's optimized multimodal capabilities with efficient processing at baseline computational cost. It combines strong language understanding with versatile functionality, providing reliable performance across text, vision, and reasoning tasks at an accessible price point.
Key Features:
Multimodal Processing Capabilities
Efficient Response Generation
Broad Knowledge Integration
Streamlined Task Execution
Use Cases:
General-purpose assistance and queries
Standard content generation
Image understanding and analysis
Everyday coding and debugging tasks
14. GPT-5
Context Window: 400K
Multiplier: 0.8x
Overview: GPT-5 delivers next-generation AI capabilities with an expansive 400K context window while maintaining remarkable efficiency. It represents a breakthrough in optimization, providing advanced intelligence and extensive context handling at below-baseline computational costs, making cutting-edge AI more accessible than ever.
Key Features:
Massive Context Processing
Optimized Architecture for Efficiency
Enhanced Cross-Domain Understanding
Intelligent Resource Management
Use Cases:
Large document analysis and synthesis
Extended conversation continuity
Comprehensive codebase understanding
Multi-document research and correlation
15. GPT-5 Mini
Context Window: 400K
Multiplier: 0.2x
Overview: GPT-5 Mini combines the extensive 400K context window with ultra-efficient processing, delivering exceptional value at just 0.2x computational cost. It's engineered for maximum accessibility, enabling widespread deployment of advanced AI capabilities for routine tasks and high-volume applications without compromising on context capacity.
Key Features:
Massive Context Retention
Ultra-Efficient Processing Engine
Streamlined Response Generation
Optimized for High-Volume Usage
Use Cases:
Bulk content processing and summarization
High-throughput customer interactions
Large-scale data extraction
Cost-sensitive production environments
16. GPT-5 Nano
Context Window: 400K
Multiplier: 0.03x
Overview: GPT-5 Nano redefines ultra-efficiency by delivering an unprecedented 400K context window at just 0.03x computational cost. This breakthrough model makes extensive context processing virtually free, enabling massive-scale AI deployment for organizations requiring high-volume, context-aware processing without budget constraints.
Key Features:
Exceptional Context Capacity
Ultra-Minimal Resource Consumption
Instant Response Times
Designed for Infinite Scalability
Use Cases:
Mass-scale automated processing
Real-time data stream analysis
IoT and edge device deployment
Budget-critical enterprise automation
17. Grok 3
Context Window: 131K
Multiplier: 2x
Overview: Grok 3 is a next-generation large language model developed by xAI, designed to offer cutting-edge reasoning capabilities with a touch of personality. It excels in nuanced understanding, creative ideation, and conversational flow, making it a powerful tool for users seeking intelligent, witty, and contextually aware assistance.
Key Features:
Advanced reasoning and contextual comprehension
Quirky, opinionated tone with real-time awareness
Capable of handling creative, technical, and conversational prompts
Developed with safety and alignment frameworks
Use Cases:
Brainstorming and ideation for creative writing or product design
Engaging conversation agents and chat-based tools
Support for complex reasoning or logic-based problem-solving
Educational tools with more interactive, human-like behavior
18. Grok 3 Mini
Context Window: 131K
Multiplier: 0.1x
Overview: Grok 3 Mini is a lightweight, efficient variant of the Grok series by xAI. It retains the core personality and conversational strengths of its larger counterpart but is optimized for speed and affordability, making it ideal for high-volume or everyday use without sacrificing intelligence.
Key Features:
Fast response times with minimal resource usage
Retains Grok's unique tone and creative flair
Supports a wide range of casual and structured tasks
Cost-effective option for daily interactions
Use Cases:
Chat assistants with personality and speed
Lightweight customer support or chatbot applications
Rapid brainstorming or creative writing drafts
Educational tools or tutors for casual learning environments
19. Grok 4
Context Window: 256K
Multiplier: 2x
Overview: Grok 4 is the most advanced model in xAI’s Grok series, offering expanded context handling, deeper reasoning, and improved response quality. Designed for users who want cutting-edge intelligence paired with Grok’s signature wit, it excels at both technical depth and conversational richness.
Key Features:
Large 256K context window for in-depth prompts and multi-turn conversations
Strong logical reasoning and memory capabilities
Witty, engaging tone that mimics human-like interaction
Enhanced instruction following and nuanced comprehension
Use Cases:
In-depth research, summarization, or analysis across long documents
High-end creative work and ideation sessions
Advanced chatbot implementations and assistants
Complex Q&A systems and customer interaction tools
20. Llama 4 Maverick
Context Window: 1M
Multiplier: 0.1x
Overview: Meta's advanced large language model featuring an extensive 1M context window with an extremely cost-effective multiplier.
21. Llama 4 Scout
Context Window: 328K
Multiplier: 0.1x
Overview: A more efficient Llama 4 variant with a good balance of context length and extremely low cost.
22. Mistral
Context Window: 128K
Multiplier: 1x
Overview: Mistral's flagship model, designed to deliver high-performance language processing with a focus on reasoning and factuality.
Key Features:
High performance
Context-aware responses
Advanced reasoning capabilities
Cutting-edge architecture
Use Cases:
Enterprise content strategies
Technical documentation
Research assistance
Professional communication
23. Mistral Pixtral
Context Window: 128K
Multiplier: 1x
Overview: Mistral's multimodal model that combines text and image understanding capabilities.
24. Nemotron 70B
Context Window: 131K
Multiplier: 0.03x
Overview: Offering one of the lowest usage multipliers on the platform, Nemotron 70B provides excellent value while maintaining solid performance.
25. Nova Lite
Context Window: 300K
Multiplier: 0.24x
Overview: Nova Lite delivers impressive context handling with its 300K window while maintaining exceptional efficiency at 0.24x computational cost. It's optimized for users who need substantial context capacity for complex tasks without the overhead, providing smart, lightweight AI solutions for everyday professional needs.
Key Features:
Extended Context Processing
Lightweight Computational Footprint
Fast and Responsive Performance
Energy-Efficient Architecture
Use Cases:
Document review and analysis
Efficient research assistance
Streamlined content generation
Budget-conscious team deployments
26. Nova Micro
Context Window: 128K
Multiplier: 0.01x
Overview: The most cost-effective model on the platform, ideal for high-volume, routine tasks where efficiency is paramount.
27. Nova Pro
Context Window: 300K
Multiplier: 0.3x
Overview: Featuring an extended context window with enhanced capabilities, Nova Pro balances advanced features and reasonable cost.
28. o3
Context Window: 200K
Multiplier: 0.7x
Overview: O3 is a mid-tier, high-efficiency language model designed to deliver strong performance with a focus on practicality. It offers a generous context window and well-rounded reasoning capabilities, making it suitable for a wide range of general-purpose tasks at a reasonable compute cost.
Key Features:
Balanced performance across creative and analytical tasks
200K token context window supports extended conversations
Fast, responsive output with strong accuracy
Ideal for daily workflows and production-level use
Use Cases:
Long-context chatbots and customer service agents
Reliable content creation and summarization
Internal tools and business logic applications
Technical writing, planning, and report generation
29. o3 Mini
Context Window: 200K
Multiplier: 0.4x
Overview: O3 Mini is a newer-generation model designed to offer a strong balance between performance and cost. With a 200K token context window and efficient processing at 0.4x computational cost, it's a reliable choice for users who need depth without the premium price tag.
Key Features:
Long 200K context window for handling extended inputs
Solid reasoning and response quality
Lightweight performance ideal for scaling
Excellent cost-to-capability ratio
Use Cases:
Long-form content generation and editing
Research, analysis, and summarization tasks
Scalable chatbots and assistants for business workflows
Documentation and knowledge base creation
30. o4 Mini
Context Window: 200K
Multiplier: 1x
Overview: O4 Mini is a streamlined, high-performance language model optimized for general-purpose tasks. Built on the latest advancements in OpenRouter infrastructure, it offers solid reasoning, fast responses, and reliable accuracy with a generous context window—making it a dependable option for both individuals and teams.
Key Features:
Strong performance across diverse task types
200K token context window enables longer interactions
Balanced speed and quality for production-scale workflows
Consistent and reliable outputs
Use Cases:
Team productivity tools and smart assistants
Content generation, rewriting, and editing
Technical support bots and documentation helpers
Educational platforms and interactive learning tools
31. Perplexity Deep Research
Context Window: 200K
Multiplier: 2x
Overview: An efficient research-focused model that delivers comprehensive knowledge retrieval and synthesis capabilities at an optimized cost point. It maintains strong analytical depth while offering exceptional value, making advanced research tools accessible for regular use across teams and projects.
32. Perplexity Sonar
Context Window: 127K
Multiplier: 0.2x
Overview: Specialized for information retrieval and synthesis at an ultra-efficient multiplier rate. This highly optimized model delivers reliable research capabilities at minimal computational cost, enabling high-volume information processing and making AI-powered research accessible for continuous, everyday use.
33. Perplexity Sonar Pro
Context Window: 200K
Multiplier: 2x
Overview: Premium version of Perplexity Sonar with enhanced capabilities and expanded context window.
34. Voice GPT
Context Window: -
Multiplier: 1x
Overview: Specialized for voice interactions and speech processing applications.
Choosing the Right Model
When selecting a model on Magai, consider:
Context Window Requirements
For processing long documents or maintaining extended conversations, choose models with larger context windows:
Extensive Context: Gemini 2.5 Pro (1M), Llama 4 Maverick (1M), Gemini 2.5 Flash (1M)
Medium Context: Nova Pro (300K), Llama 4 Scout (328K), Claude models (200K)
Standard Context: Most other models (128K-131K)
Cost Efficiency
Models with lower multipliers will use your word balance more efficiently:
Most Efficient: Nova Micro (0.01x), Nemotron 70B (0.03x), GPT-5 Nano (0.03x)
Very Efficient: Llama 4 Maverick (0.1x), DeepSeek V3 (0.1x), Gemini 2.0 models (0.1x)
Moderately Efficient: Nova Pro (0.3x), Perplexity Sonar (0.2x), Claude Sonnet 3.5 (0.4x)
Task Complexity
For complex reasoning or critical applications:
Premium Performance: GPT-5 (20x), Claude 3.7 Sonnet (3x), o1 (3x)
Balanced Performance: GPT-4o (1x), Claude 3.5 Sonnet (1x), Mistral (1x)
Research-Oriented: Perplexity Deep Research (2x), Perplexity Sonar Pro (2x)
Specialized Needs
Consider models with specific strengths matching your use case:
Visual Processing: Grok 2 Vision, Mistral Pixtral
Voice Interaction: Voice GPT
Information Retrieval: Perplexity models
Long Document Processing: Gemini models, Llama 4 Maverick
For assistance selecting the optimal model for your specific needs, please use the Auto option which intelligently selects the most appropriate model for each task based on its requirements.For the most up-to-date information on all available AI models and their specific functionalities, please visit Magai's help center.