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 3.5 Haiku | 200K | 0.5x |
Claude 3.5 Sonnet | 200K | 1x |
Claude 3.7 Sonnet | 200K | 3x |
DeepSeek R1 | 64K | 0.5x |
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 |
Grok 3 | 131K | 2x |
Grok 3 Mini | 131K | 0.1x |
Grok 4 | 131K | 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 Micro | 128K | 0.01x |
Nova Pro | 300K | 0.3x |
o1 | 200K | 3x |
o1 Mini | 128K | 1x |
o3 Mini | 200K | 0.5x |
Perplexity Deep Research | 200K | 2x |
Perplexity Sonar | 127K | 0.3x |
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 3.5 Haiku
Context Window: 200K Multiplier: 0.5x Overview: Claude 3.5 Haiku delivers fast, efficient responses while maintaining high quality. It's optimized for quick interactions and routine tasks with excellent cost efficiency.
Key Features:
Enhanced Context Management
Efficient Language Generation
Excellent Balance of Speed and Quality
Cost-Effective Processing
Use Cases:
Routine customer support
Quick content drafting
Efficient information retrieval
Day-to-day assistance
3. Claude 3.5 Sonnet
Context Window: 200K Multiplier: 1x Overview: Claude 3.5 Sonnet is an advanced iteration of the Claude series, developed by Anthropic. It balances sophisticated language capabilities with reasonable processing costs.
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 3.7 Sonnet
Context Window: 200K Multiplier: 3x Overview: The latest and most advanced version in the Claude Sonnet line, offering exceptional reasoning, accuracy, and deeper contextual understanding.
Key Features:
Superior reasoning capabilities
Enhanced nuance in responses
Advanced instruction following
Improved handling of complex requests
Use Cases:
Complex problem-solving
Advanced content creation
Professional research assistance
High-stakes decision support
5. DeepSeek R1
Context Window: 64K Multiplier: 0.5x Overview: DeepSeek R1 specializes in research-oriented tasks, with excellent reasoning capabilities at a moderate cost.
6. DeepSeek V3
Context Window: 64K Multiplier: 0.1x Overview: A cost-effective option with solid performance for everyday tasks and lightweight applications.
7. 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
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. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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.
16. 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.
17. 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
18. Mistral Pixtral
Context Window: 128K Multiplier: 1x Overview: Mistral's multimodal model that combines text and image understanding capabilities.
19. 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.
20. 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.
21. 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.
22. 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
23. o3 Mini
Context Window: 200K
Multiplier: 0.5x
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, 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
Balanced 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
24. 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
25. Perplexity Deep Research
Context Window: 200K
Multiplier: 2x
Overview: Advanced research-focused model with extensive knowledge retrieval and synthesis capabilities.
26. Perplexity Sonar
Context Window: 127K Multiplier: 0.3x Overview: Specialized for information retrieval and synthesis at a cost-effective multiplier rate.
27. Perplexity Sonar Pro
Context Window: 200K Multiplier: 2x Overview: Premium version of Perplexity Sonar with enhanced capabilities and expanded context window.
28. 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 2.0 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), Llama 4 Scout (0.03x)
Very Efficient: Llama 4 Maverick (0.05x), DeepSeek V3 (0.1x), Gemini 2.0 models (0.1x)
Moderately Efficient: Nova Pro (0.3x), Perplexity Sonar (0.3x), Claude 3.5 Haiku (0.5x)
Task Complexity
For complex reasoning or critical applications:
Premium Performance: GPT-4.5 (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.