Magai offers 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 Haiku 4.5 | 200K | 0.4x |
Claude Opus 4.6 | 1M | 2x |
Claude Opus 4.7 | 1M | 2x |
Claude Sonnet 4.6 | 1M | 1.2x |
DeepSeek V3 | 64K | 0.1x |
DeepSeek V3.2 | 164K | 0.04x |
Gemini 2.5 Pro | 1M | 0.8x |
Gemini 2.5 Flash | 1M | 0.2x |
Gemini 3 Pro | 200K | 1x |
Gemini 3.1 Flash Lite | 1M | 0.3x |
Gemini 3.1 Pro | 1M | 2x |
GLM 5 | 203K | 0.22x |
GLM 5 Turbo | 203K | 0.28x |
GPT OSS 120B | 131K | 0.02x |
GPT-5 Image | 400K | 1.3x |
GPT-5.4 | 1M | 1.2x |
GPT-5.4 Mini | 400K | 0.35x |
GPT-5.4 Nano | 400K | 0.1x |
GPT-5.4 Pro | 1M | 14x |
Grok 3 | 131K | 2x |
Grok 3 Mini | 131K | 0.1x |
Grok 4 | 256K | 1.2x |
Grok 4.1 Fast | 2M | 0.05x |
Grok 4.20 | 2M | 0.53x |
Grok 4.20 Multi-Agent | 2M | 0.53x |
Kimi K2.5 | 262K | 0.23x |
Llama 4 Maverick | 1M | 0.05x |
Llama 4 Scout | 328K | 0.03x |
MiMo V2 Omni | 262K | 0.16x |
MiMi V2 Pro | 1M | 0.27x |
MiniMax M2.5 | 197K | 0.1x |
MiniMax M2.7 | 205K | 0.1x |
Mistral Large 3 | 262K | 0.13x |
Mistral Pixtral | 128K | 0.6x |
Mistral Small 4 | 262K | 0.05x |
Nemotron 3 Nano | 262K | 0.02x |
Nova 2 Lite | 1M | 0.19x |
Nova Pro | 300K | 0.3x |
o4 Mini | 200K | 0.4x |
o4 Mini Deep Research | 200K | 0.7x |
Perplexity Deep Research | 200K | 0.7x |
Perplexity Sonar | 127K | 0.2x |
Perplexity Sonar Pro | 200K | 1.2x |
Perplexity Sonar Pro Search | 200K | 1.2x |
Voice GPT | 32K | 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 Haiku 4.5
Context Window: 200K
Multiplier: 0.4x
Overview: Claude Haiku 4.5 is designed to excel in processing extensive information with a context window reaching up to 200K. This ensures a comprehensive grasp of diverse content, enabling precise and well-rounded outputs. It offers efficient and balanced performance for various applications.
Key Features:
Enhanced contextual awareness
Streamlined information processing
Balanced performance metrics
Expanded content integration
Use Cases:
In-depth document review and summarization
Efficient knowledge extraction
Content creation and editorial workflows
Data compilation and insight generation
3. Claude Opus 4.6
Context Window: 1M
Multiplier: 2x
Overview: Claude Opus 4.6 represents Anthropic’s most advanced flagship model, built for exceptional reasoning, deeper contextual understanding, and consistently high-quality output across complex domains. It combines sophisticated analytical performance, strong creative and technical fluency, and dependable long-context comprehension, making it ideal for demanding knowledge work, advanced problem-solving, and high-stakes decision support.
Key Features:
Elite reasoning and problem-solving
Strong long-context understanding and synthesis
High-quality writing, coding, and analytical output
Advanced multimodal comprehension
Reliable performance on complex, nuanced tasks
Use Cases:
Deep research, synthesis, and analysis across large information sets
Designing, debugging, and refactoring complex software and technical systems
Long-form writing, editing, and structured content development
Strategic planning, forecasting, and executive decision support
Working across large knowledge bases, documentation sets, transcripts, and project histories
4. Claude Opus 4.7
Context Window: 1M
Multiplier: 2x
Overview: Pushes flagship AI performance even further, delivering stronger reasoning, sharper instruction-following, and more dependable output across complex and high-context tasks. Built for advanced knowledge work, creative execution, and technical problem-solving, it combines depth, precision, and long-context fluency for users who need consistently high-quality results on demanding workloads.
Key Features:
Advanced reasoning and complex problem-solving
Strong long-context comprehension and synthesis
High-quality creative, analytical, and technical output
Improved instruction-following and response reliability
Capable multimodal understanding across rich inputs
Use Cases:
Research, synthesis, and analysis across large volumes of information
Building, debugging, and refining complex software and systems
Long-form writing, editing, and content development
Strategic planning, scenario analysis, and decision support
Working across extensive documentation, transcripts, and knowledge bases
5. Claude Sonnet 4.6
Context Window: 1M
Multiplier: 1.2x
Overview: Delivers a strong balance of speed, intelligence, and reliability, making it an excellent choice for everyday professional use and high-volume workflows. It combines fast response times with capable reasoning, clear writing, and dependable performance across a wide range of business, creative, and technical tasks.
Key Features:
Fast, efficient performance for everyday and high-volume workflows
Strong reasoning and instruction-following
High-quality writing, summarization, and analysis
Reliable coding and technical assistance
Solid long-context understanding for multi-step tasks
Use Cases:
Drafting, editing, and summarizing emails, documents, and reports
Research, synthesis, and analysis across multiple sources
Writing, reviewing, and debugging code for day-to-day development tasks
Supporting customer service, operations, and internal team workflows
Working with long conversations, documentation, and knowledge bases
6. DeepSeek V3
Context Window: 64K
Multiplier: 0.1x
Overview: DeepSeek V3 is designed to efficiently handle tasks requiring less cognitive load with remarkable speed and proficiency. Its architecture is streamlined for lightweight operations, making it an excellent choice for applications where cost-effectiveness and rapid execution are paramount.
Key Features:
Executes tasks quickly and efficiently, perfect for lightweight data needs.
Adjusts seamlessly to varying demands, ensuring consistent results across different workloads.
Offers budget-friendly solutions by minimizing resource consumption while maintaining quality output.
Use Cases:
Processes information swiftly to support immediate decision-making needs.
Enables quick production of scalable content for various needs with minimal overhead.
Provides affordable automation solutions in environments where resource conservation is crucial.
7. DeepSeek v3.2
Context Window: 164K
Multiplier: 0.04x
Overview: It is a powerful general-purpose AI model designed for strong reasoning, efficient generation, and reliable performance across a broad range of professional and technical tasks. It balances speed, analytical capability, and high-quality output, making it well suited for users who need dependable support for research, writing, coding, and complex problem-solving at scale.
Key Features:
Strong reasoning and analytical performance
Fast, efficient output across varied workflows
High-quality writing, coding, and summarization
Reliable handling of complex technical and knowledge tasks
Broad versatility across business, creative, and development use cases
Use Cases:
Research, synthesis, and summarization across large information sets
Writing, editing, and refining business or creative content
Generating, reviewing, and debugging code for technical workflows
Supporting analysis, planning, and decision-making tasks
Working across documentation, knowledge bases, and multi-step projects
8. Gemini 2.5 Flash
Context Window: 1M
Multiplier: 0.2x
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
9. Gemini 2.5 Pro
Context Window: 1M
Multiplier: 0.8x
Overview: Google's advanced multimodal model, Gemini 2.5 Pro, boasts an expansive context window and exceptional reasoning capabilities. It is tailored to manage complex tasks with depth and precision, making it ideal for sophisticated, multifaceted applications requiring comprehensive analysis and understanding.
Key Features:
Leverages a broad context window to understand and integrate vast amounts of information simultaneously.
Synthesizes data from multiple sources and formats, delivering a cohesive output that captures diverse perspectives.
Employs strong reasoning skills, making it adept at tackling complex, multifaceted problems.
Use Cases:
Suitable for scenarios requiring the amalgamation of large datasets to derive meaningful insights.
Excels in tasks involving high-level analysis and detailed examination of intricate issues.
Supports strategic decision-making processes that require in-depth evaluation and sophisticated reasoning.
10. Gemini 3 Pro
Context Window: 200K
Multiplier: 1x
Overview: Gemini 3 Pro is Google’s flagship general-purpose large language model, optimized for high-quality reasoning, coding, and complex content creation. With a 200,000-token context window and a standard 1x cost multiplier, it balances power and efficiency—ideal for applications that need strong intelligence, reliability, and broader context without the extreme scale (and cost) of ultra-long-context models.
Key Features:
Strong reasoning and planning capabilities for complex problem-solving
Excellent code understanding and generation across multiple languages
High-quality writing, editing, and transformation for professional content
Multimodal readiness (text + vision in supported deployments)
Well-suited as a “default” production model for balanced cost and capability
Use Cases:
General-purpose AI assistants and copilots
Advanced coding assistants and debugging agents
Multi-document synthesis, comparison, and summarization
Educational tutors and expert-style explanation systems
Workflow orchestration / tool-using agents that need reliable reasoning
11. Gemini 3.1 Flash Lite
Context Window: 1M
Multiplier: 0.3x
Overview: This model is built for speed, efficiency, and cost-effective performance across lightweight, high-volume AI workflows. It delivers fast responses, solid general intelligence, and dependable output for everyday tasks, making it a strong fit for teams and users who need responsive assistance at scale without the overhead of a heavier model.
Key Features:
Fast, lightweight performance for high-volume use
Cost-efficient support for everyday AI tasks
Strong instruction-following and general task handling
Reliable summarization, drafting, and content transformation
Well suited for streamlined business and operational workflows
Use Cases:
Summarizing documents, messages, and support conversations quickly
Drafting emails, replies, and short-form business content
Handling repetitive workflow tasks at scale
Supporting chat-based assistance and customer operations
Processing lightweight research, classification, and content cleanup tasks
12. Gemini 3.1 Pro
Context Window: 1M
Multiplier: 2x
Overview: High-capability model built for advanced reasoning, multimodal understanding, and strong performance across complex professional workflows. It is well suited for users who need a powerful balance of depth, accuracy, and versatility for research, analysis, content creation, and technical problem-solving across large and varied inputs.
Key Features:
Advanced reasoning and complex problem-solving
Strong multimodal understanding across text and other rich inputs
High-quality analytical, creative, and technical output
Reliable long-context comprehension and synthesis
Versatile performance across business, research, and development workflows
Use Cases:
Research, synthesis, and analysis across large sets of information
Drafting, editing, and refining long-form business or creative content
Working with complex documents, reports, and knowledge bases
Supporting coding, technical analysis, and solution design
Strategic planning, decision support, and multi-step problem-solving
13. GLM 5
Context Window: 203K
Multiplier: 0.22x
Overview: Versatile AI model designed to deliver strong reasoning, efficient generation, and reliable performance across a wide range of professional, technical, and creative workflows. It balances speed with depth, making it a practical choice for users who need capable support for research, writing, coding, and multi-step problem-solving.
Key Features:
Strong reasoning and general problem-solving capabilities
Reliable writing, summarization, and content generation
Solid performance across technical and analytical tasks
Efficient handling of everyday and multi-step workflows
Versatile support for business, creative, and development use cases
Use Cases:
Researching, summarizing, and synthesizing information from multiple sources
Drafting, editing, and refining business or creative content
Writing, reviewing, and debugging code for technical projects
Supporting analysis, planning, and structured decision-making
Working across documents, knowledge bases, and ongoing project workflows
14. GLM 5 Turbo
Context Window: 203K
Multiplier: 0.28x
Overview: Built for speed, efficiency, and dependable everyday performance, making it a strong choice for high-volume workflows that still need solid reasoning and clear output. It delivers fast responses across writing, summarization, research, and business tasks, offering a practical balance of capability, responsiveness, and scalability.
Key Features:
Fast, efficient performance for high-volume workflows
Strong general reasoning and task execution
Reliable writing, summarization, and content generation
Solid support for business, research, and productivity tasks
Responsive output for everyday multi-step workflows
Use Cases:
Drafting emails, documents, and short-form business content quickly
Summarizing articles, notes, transcripts, and internal materials
Supporting research and synthesis across multiple sources
Assisting with operational, customer support, and team workflows
Handling repeatable content and productivity tasks at scale
15. GPT OSS 120B
Context Window: 1M
Multiplier: 0.7x
Overview: Large-scale open-weight model built for advanced reasoning, flexible customization, and strong performance across demanding professional and technical workflows. With its substantial parameter scale, it is well suited for organizations and power users who want high-end language capabilities with greater control over deployment, tuning, and integration.
Key Features:
Advanced reasoning and strong general intelligence
Open-weight flexibility for customization and self-hosted deployment
High-quality writing, coding, and analytical output
Strong performance on complex, multi-step workflows
Well suited for enterprise integrations and specialized use cases
Use Cases:
Research, synthesis, and analysis across large bodies of information
Building, customizing, and deploying AI workflows in controlled environments
Writing, reviewing, and debugging code for complex software projects
Drafting, editing, and generating high-quality business or technical content
Powering internal tools, knowledge systems, and domain-specific AI applications
16. GPT-5 Image
Context Window: 400K
Multiplier: 1.3x
Overview: The GPT-5 Image model revolutionizes AI-driven image technology with an expansive 400K context window, excelling in both detail and interpretative depth. It balances sophisticated image generation capabilities with efficient processing, enabling superior image quality while maintaining optimal computational performance.
Key Features:
Hyper-realistic image generation
Advanced texture and detail rendering
Efficient model training with reduced latency
Adaptive style and theme customization
Use Cases:
High-fidelity graphic design
Lifelike animated visual content
Detailed architectural modeling
Customizable brand and marketing imagery
17. GPT-5.2 Fast
Context Window: 128K
Multiplier: 2x
Overview: Optimized for maximum speed and throughput while preserving strong reasoning and output quality. Designed for latency-sensitive and high-volume workloads, it delivers rapid responses and efficient processing—ideal for real-time applications, interactive tools, and large-scale automation. It balances performance, cost-efficiency, and reliability in a streamlined, production-ready model.
Key Features:
Ultra-low latency for real-time interactions
High throughput for large-scale and concurrent workloads
Optimized cost-performance ratio for production environments
Stable, predictable behavior across rapid request cycles
Strong reasoning and writing quality tuned for speed-focused use cases
Use Cases:
Real-time chatbots, support agents, and in-app assistants
High-volume customer service and operations automation
Fast content generation for marketing, product descriptions, and FAQs
Interactive tools, dashboards, and copilots for teams
Scalable back-end AI services where responsiveness is critical
18. GPT-5.4
Context Window: 1M
Multiplier: 1.2x
Overview: High-performance flagship AI model built for advanced reasoning, strong instruction-following, and reliable output across complex professional workflows. It combines depth, speed, and versatility to handle demanding research, writing, coding, and analytical tasks, making it a strong fit for users who need consistently capable performance across a wide range of use cases.
Key Features:
Advanced reasoning and complex problem-solving
Strong instruction-following and reliable task execution
High-quality writing, coding, and analytical output
Solid long-context comprehension and synthesis
Versatile performance across business, creative, and technical workflows
Use Cases:
Researching, synthesizing, and analyzing large volumes of information
Writing, editing, and refining business, technical, or creative content
Generating, reviewing, and debugging code for complex development tasks
Supporting strategic planning, decision-making, and structured analysis
Working across long documents, transcripts, knowledge bases, and multi-step projects
19. GPT-5.4 Mini
Context Window: 400K
Multiplier: 0.35x
Overview: Streamlined, fast-response model built for efficient everyday performance across high-volume workflows. It offers a strong balance of speed, reliability, and practical intelligence, making it a great fit for drafting, summarization, support tasks, lightweight research, and operational productivity where responsiveness matters most.
Key Features:
Fast, lightweight performance for high-volume workflows
Strong instruction-following and dependable task execution
Clear writing, summarization, and content transformation
Efficient support for everyday business and productivity tasks
Reliable handling of short- to mid-length contextual workflows
Use Cases:
Drafting emails, replies, and short-form business content quickly
Summarizing documents, notes, chats, and internal materials
Supporting customer service, operations, and team workflows
Handling repetitive content and productivity tasks at scale
Assisting with lightweight research, organization, and analysis
20. GPT-5.4 Nano
Context Window: 400K
Multiplier: 0.1x
Overview: Ultra-fast, lightweight model optimized for speed, efficiency, and scalable everyday use. It is ideal for simple, high-volume workflows where responsiveness, low latency, and cost-efficiency matter most, while still delivering clear, reliable output for common writing, summarization, and support tasks.
Key Features:
Ultra-fast performance for lightweight, high-volume workflows
Efficient and cost-effective for repetitive everyday tasks
Strong instruction-following for simple, structured requests
Clear drafting, summarization, and content transformation
Reliable support for operational and productivity use cases
Use Cases:
Generating quick replies, short drafts, and routine business content
Summarizing notes, messages, and lightweight documents
Powering customer support, chat assistance, and internal workflows
Handling repetitive content tasks at scale
Supporting simple classification, cleanup, and formatting tasks
21. GPT-5.4 Pro
Context Window: 1M
Multiplier: 14x
Overview: Premium high-performance model built for the most demanding professional workflows, combining advanced reasoning, strong instruction-following, and consistently high-quality output across complex tasks. It is ideal for users who need depth, precision, and reliability for research, strategy, technical work, and long-form content creation at a professional level.
Key Features:
Advanced reasoning for complex, high-stakes tasks
Strong instruction-following with reliable, polished output
High-quality writing, coding, and analytical performance
Excellent handling of nuanced, multi-step workflows
Strong long-context comprehension and synthesis
Use Cases:
Conducting deep research and synthesizing large volumes of information
Drafting, refining, and editing high-quality business, technical, and creative content
Solving complex coding, debugging, and technical planning challenges
Supporting strategic analysis, scenario planning, and executive decision-making
Working across long documents, project histories, transcripts, and knowledge bases
22. 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
23. 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
24. Grok 4
Context Window: 256K
Multiplier: 1.2x
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
25. Grok 4.1 Fast
Context Window: 2M
Multiplier: 0.05x
Overview: Grok 4.1 Fast is designed for high-speed, high-volume AI workloads where responsiveness and efficiency are critical. It delivers strong reasoning, solid accuracy, and rapid turnaround times, making it ideal for interactive applications, operational workflows, and always-on systems.
Key Features:
Optimized for speed and throughput
Reliable reasoning & analysis
Strong generalist performance
Efficient for production workloads
User-friendly, direct communication style
Use Cases:
Real-time chatbots, assistants, and support agents
Rapid drafting, rewriting, and polishing of content
Day-to-day coding help, debugging, and code review
Workflow automation, scripting, and operations assistance
Fast data summarization and extraction for dashboards and reports
26. Grok 4.20
Context Window: 2M
Multiplier: 0.53x
Overview: High-performance AI model built for fast reasoning, strong conversational responsiveness, and versatile support across research, writing, and technical workflows. It is designed to handle complex prompts with clarity and speed, making it a strong option for users who want capable analysis, polished output, and dependable performance across a broad range of everyday and advanced tasks.
Key Features:
Strong reasoning and real-time problem-solving
Fast, responsive performance across varied workflows
High-quality writing, summarization, and analytical output
Reliable handling of technical, business, and creative tasks
Versatile support for multi-step conversations and research
Use Cases:
Researching, summarizing, and synthesizing information quickly
Drafting and refining business, marketing, or creative content
Supporting technical analysis, coding, and troubleshooting workflows
Assisting with brainstorming, planning, and decision support
Managing multi-turn conversations across projects, documents, and knowledge tasks
27. Grok 4.20 Multi-Agent
Context Window: 2M
Multiplier: 0.53x
Overview: Designed for advanced, collaborative AI reasoning, using multiple agent-style processes to tackle complex problems with greater depth, coverage, and consistency. It is especially well suited for demanding workflows that benefit from layered analysis, parallel reasoning, and more robust handling of nuanced, high-context tasks across research, strategy, and technical work.
Key Features:
Multi-agent reasoning for deeper analysis and problem-solving
Strong performance on complex, high-context workflows
Parallelized thinking across nuanced or multi-part tasks
High-quality analytical, strategic, and technical output
Reliable support for large-scale research and decision-making
Use Cases:
Breaking down complex research questions into deeper multi-angle analysis
Supporting strategic planning, forecasting, and scenario evaluation
Assisting with large technical investigations, debugging, and systems thinking
Synthesizing long documents, transcripts, and knowledge-heavy materials
Powering high-stakes workflows that require layered reasoning and stronger answer reliability
28. Llama 4 Maverick
Context Window: 1M
Multiplier: 0.05x
Overview: Meta's advanced large language model, Llama 4 Maverick, is distinguished by its extensive 1M context window. It is designed to operate with an extremely cost-effective multiplier, making it suitable for applications requiring substantial data processing capacity without incurring high computational costs.
Key Features:
Utilizes a vast context window to handle a large volume of data effectively, enabling comprehensive understanding and integration.
Optimized for efficient performance, ensuring high-quality output while minimizing computational expenses.
Capable of managing a wide range of language tasks across different domains with accuracy and depth.
Use Cases:
Ideal for analyzing large datasets for content generation, providing insightful summaries and evaluations.
Suitable for environments where budget-friendly processing is essential without compromising on capacity.
Supports extensive research activities that require processing vast amounts of information efficiently.
29. Llama 4 Scout
Context Window: 328K
Multiplier: 0.03x
Overview: Llama 4 Scout represents a more efficient variant in the Llama 4 series, offering a well-balanced context length with an emphasis on extremely low operational cost. It is designed to cater to applications that require a moderate context window while ensuring cost efficiency and robust performance.
Key Features:
Provides a substantial context window that captures essential data points without overextending processing resources.
Optimizes resource usage to maintain a low-cost profile without sacrificing output quality.
Equipped to manage a variety of tasks efficiently, striking a balance between context depth and performance.
Use Cases:
Ideal for summarizing information from moderate datasets, providing clear and concise outputs.
Suitable for projects that prioritize budget-friendly processing with adequate context comprehension.
Supports a range of business scenarios, from report generation to strategic planning, with a focus on resource conservation.
30. MiMo V2 Omni
Context Window: 262K
Multiplier: 0.16x
Overview: Versatile multimodal AI model built to handle a broad range of inputs and tasks with speed, flexibility, and dependable performance. Designed for users who need strong general intelligence across text-rich and multimodal workflows, it supports research, content creation, reasoning, and interactive problem-solving in a single adaptable model.
Key Features:
Multimodal capabilities for handling text and rich input types
Strong general reasoning and task adaptability
Fast, responsive performance across varied workflows
Reliable writing, summarization, and analytical output
Flexible support for creative, business, and technical use cases
Use Cases:
Researching, summarizing, and synthesizing information across multiple sources
Drafting, editing, and refining business, technical, or creative content
Supporting multimodal workflows that combine text with other input formats
Assisting with analysis, planning, and structured problem-solving
Working across documents, conversations, and knowledge-heavy project tasks
31. MiMo V2 Pro
Context Window: 1M
Multiplier: 0.27x
Overview: High-capability multimodal model built for stronger reasoning, deeper contextual understanding, and more advanced performance across professional, creative, and technical workflows. It is designed for users who need a more powerful and flexible model for complex tasks, combining high-quality output with dependable multimodal comprehension and broad real-world versatility.
Key Features:
Advanced multimodal understanding across rich input types
Strong reasoning and complex problem-solving capabilities
High-quality writing, analysis, and content generation
Reliable performance on nuanced, multi-step workflows
Versatile support for business, creative, and technical tasks
Use Cases:
Researching, synthesizing, and analyzing complex information from multiple sources
Drafting, editing, and refining long-form business, technical, or creative content
Supporting multimodal workflows involving text and other rich inputs
Assisting with strategic planning, decision support, and structured analysis
Working across large documents, knowledge bases, and ongoing project materials
32. MiniMax M2.5
Context Window: 197K
Multiplier: 0.1x
Overview: AI model designed to deliver strong reasoning, efficient performance, and dependable output across a wide range of business, creative, and technical workflows. It balances speed with capability, making it a practical choice for users who need reliable support for writing, research, analysis, and multi-step tasks without unnecessary complexity.
Key Features:
Strong general reasoning and task adaptability
Fast, efficient performance across everyday workflows
Reliable writing, summarization, and analytical output
Solid support for business, creative, and technical tasks
Dependable handling of multi-step prompts and contextual work
Use Cases:
Researching, summarizing, and synthesizing information from multiple sources
Drafting, editing, and refining business, technical, or creative content
Supporting analysis, planning, and structured decision-making
Assisting with operational workflows and repeatable productivity tasks
33. MiniMax M2.7
Context Window: 205K
Multiplier: 0.1x
Overview: More advanced, capability-forward evolution in the MiniMax lineup, designed for users who need stronger reasoning, better handling of complexity, and more polished output across demanding workflows. Compared with earlier generations focused on dependable general performance, M2.7 is positioned for deeper analysis, more nuanced task execution, and higher-quality results in professional, creative, and knowledge-intensive environments.
Key Features:
Enhanced reasoning for more complex and layered tasks
Stronger handling of nuanced instructions and detailed prompts
More refined output quality across writing, analysis, and structured work
Improved performance on knowledge-heavy and context-rich workflows
Better suited for higher-complexity professional use cases
Use Cases:
Analyzing complex topics that require deeper synthesis and clearer judgment
Producing more polished business, editorial, or strategic content
Supporting advanced research and multi-step knowledge work
Assisting with detailed planning, evaluation, and decision-support tasks
34. Mistral Large 3
Context Window: 262K
Multiplier: 0.31x
Overview: High-capability model built for users who need strong reasoning, precise instruction-following, and polished output across demanding professional tasks. It stands out as a more refined, quality-driven option for complex writing, analytical work, and technical problem-solving, making it well suited for workflows where clarity, consistency, and depth matter more than lightweight speed alone.
Key Features:
Advanced reasoning for complex and detail-sensitive tasks
Precise instruction-following with consistent output quality
Strong writing, analytical, and technical performance
Reliable handling of nuanced, multi-step workflows
Well suited for high-context professional and knowledge work
Use Cases:
Producing polished long-form business, editorial, and technical content
Analyzing complex information and synthesizing clear conclusions
Supporting software design, debugging, and technical documentation
Assisting with strategic planning, evaluation, and structured decision-making
35. Mistral Pixtral
Context Window: 128K
Multiplier: 0.6x
Overview: Mistral Pixtral is a powerful multimodal model designed to integrate text and image understanding capabilities within a singular framework. This integration enhances its ability to comprehensively process and analyze varied data forms, making it an ideal choice for applications that require robust multimodal insights.
Key Features:
Combines textual and visual data processing to deliver a unified understanding of complex inputs.
With a 128K context window, it seamlessly handles moderate data volumes while maintaining performance efficiency.
Adaptable for tasks requiring simultaneous text and image interpretation, broadening its application scope.
Use Cases:
Perfect for tasks that require analyzing content that includes both text and images for a holistic perspective.
Suitable for scenarios where merging insights from text and imagery can enhance decision-making processes.
Supports research initiatives by offering integrated data analysis capabilities, facilitating innovation and discovery.
36. Mistral Small 4
Context Window: 262K
Multiplier: 0.05x
Overview: Fast, efficient model built for everyday productivity, making it a strong fit for users who need quick answers, clear writing, and dependable support across routine workflows. It is especially well suited for lightweight tasks where responsiveness matters most, helping teams move faster on drafting, summarizing, organizing, and handling repeatable work without the overhead of a larger model.
Key Features:
Fast, lightweight performance for everyday tasks
Clear and reliable writing, summarization, and rewriting
Strong instruction-following for straightforward requests
Efficient support for repeatable business and productivity workflows
Practical performance for high-volume, low-complexity use cases
Use Cases:
Drafting emails, replies, notes, and short-form business content
Summarizing documents, chats, transcripts, and internal updates
Rewriting or cleaning up content for clarity and consistency
Supporting customer operations and routine team workflows
37. Nemotron 3 Nano
Context Window: 262K
Multiplier: 0.02x
Overview: Designed for fast, efficient execution across everyday workflows, offering a lightweight experience without losing clarity or usefulness. Compared with larger models focused on depth and complexity, it is better suited for quick-turn tasks, routine content work, and responsive assistance where speed, simplicity, and scalability are the priority.
Key Features:
Fast response times for lightweight, high-frequency tasks
Efficient handling of routine writing and summarization
Clear instruction-following for straightforward requests
Practical performance for business and productivity workflows
Scalable support for repetitive, day-to-day use cases
Use Cases:
Drafting short emails, replies, and internal updates
Summarizing notes, documents, and conversations quickly
Supporting customer service and operational workflows
Handling repetitive content and formatting tasks at scale
Assisting with simple research and everyday productivity requests
38. Nova 2 Lite
Context Window: 1M
Multiplier: 0.19x
Overview: Built for speed, efficiency, and lightweight everyday performance, making it a practical choice for users who need fast answers and dependable output without the overhead of a heavier model. It is especially well suited for routine workflows, quick drafting, simple summarization, and scalable business tasks where responsiveness and consistency matter most.
Key Features:
Lightweight, fast-response performance for everyday use
Efficient handling of straightforward prompts and repeatable tasks
Clear drafting, rewriting, and summarization capabilities
Reliable instruction-following for simple business workflows
Scalable support for high-volume, low-complexity requests
Use Cases:
Drafting short emails, messages, and internal updates quickly
Summarizing notes, documents, and conversations in a clear format
Supporting customer operations and routine team workflows
Handling repetitive content generation and cleanup tasks at scale
Assisting with simple research, organization, and productivity requests
39. 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. It caters to users who need powerful AI support for complex tasks while maintaining an efficient budget.
Key Features:
Utilizes a 300K context window to support thorough and comprehensive data processing.
Offers a range of enhanced features that are ideal for handling complex and multifaceted tasks effectively.
Ensures advanced functionality is available at a cost-effective rate, optimizing both resources and results.
Use Cases:
Suitable for scenarios requiring in-depth analysis and integration of large datasets for enhanced insights.
Supports business functions that demand detailed evaluation and strategic foresight.
Delivers reliable, professional-grade performance for various advanced applications, balancing cost and capability efficiently.
40. o4 Mini
Context Window: 200K
Multiplier: 0.4x
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
41. o4 Mini Deep Research
Context Window: 200K
Multiplier: 0.7x
Overview: o4 Mini Deep Research is crafted for thorough research and analytical undertakings, providing a seamless integration of vast data within a context window of 200K. Its 0.7x multiplier ensures a harmonious blend of depth and processing efficiency, making it ideal for meticulous exploration of information.
Key Features:
In-depth research methodologies
Efficient data processing
Broad contextual integration
Precision in insights and analysis
Use Cases:
Comprehensive research and data compilation
Detailed report generation and analysis
Scenario exploration and strategic planning
Innovative problem solving and critical thinking
42. Perplexity Deep Research
Context Window: 200K
Multiplier: 0.7x
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.
Key Features:
Equipped to access and synthesize vast amounts of data, providing thorough insights and knowledge.
Delivers in-depth analysis, assisting in uncovering complex relationships and insights within data sets.
Balances cost and performance, ensuring valuable research tools are accessible without financial strain.
Use Cases:
Ideal for in-depth research tasks requiring extensive data evaluation and synthesis.
Supports collaborative efforts by making advanced tools available across various team projects.
Assists in developing strategic insights by offering comprehensive data analysis and retrieval capabilities.
43. 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.
Key Features:
Designed to access and synthesize information quickly and efficiently, ensuring high-speed data processing.
Capable of handling large volumes of data with ease, making it suitable for continuous research tasks.
Operates at a low multiplier, providing substantial research capabilities without taxing resources.
Use Cases:
Ideal for routine information retrieval tasks that require consistent and efficient processing.
Supports ongoing information synthesis, ensuring up-to-date research insights are always accessible.
Facilitates data analysis in resource-constrained environments, offering reliable performance at reduced costs.
44. Perplexity Sonar Pro
Context Window: 200K
Multiplier: 1.2x
Overview: Perplexity Sonar Pro is the premium version of Perplexity Sonar, boasting enhanced capabilities and an expanded context window. It is designed to deliver superior research performance, catering to more complex and demanding information retrieval and synthesis tasks.
Key Features:
Provides a larger context window of 200K, allowing for more comprehensive analysis and data processing.
Offers advanced features that elevate information retrieval and synthesis, ensuring high-caliber results.
Delivers superior analytical depth and precision, designed for high-demand research environments.
Use Cases:
Ideal for tackling intricate research tasks that require extensive data scrutiny and insight generation.
Supports strategic decision-making processes through detailed data evaluation and synthesis.
Serves projects demanding high-quality research outcomes, utilizing expanded context capacity for enriched insights.
45. Perplexity Sonar Pro Search
Context Window: 200K
Multiplier: 1.2x
Overview: Perplexity Sonar Pro Search delivers cutting-edge search intelligence with a powerful 200K context window and a 1.2× performance multiplier. It blends deep retrieval capabilities with accelerated reasoning to surface precise, context-rich answers from vast information sources. Sonar Pro Search redefines AI-assisted exploration—faster, smarter, and built for high-intensity research.
Key Features:
200K extended context window
1.2× performance multiplier
High-fidelity search understanding
Dynamic information correlation
Optimized search-to-reasoning pipeline
Use Cases:
Deep multi-document research and fact-finding
Rapid synthesis of large information sets
Competitive analysis and market intelligence
Academic or scientific literature exploration
High-accuracy question answering with verified sources
46. Voice GPT
Context Window: 32K
Multiplier: 1x
Overview: Specialized for voice interactions and speech processing applications. It excels in understanding and synthesizing voice inputs, making it ideally suited for applications that require seamless voice communication and processing capabilities.
Key Features:
Tailored to handle a wide range of voice commands and interactions, ensuring high accuracy and fluency in speech processing.
Converts text to speech in a natural and coherent manner, providing a realistic and engaging user experience.
Supports diverse voice-driven applications, from virtual assistants to interactive voice response systems.
Use Cases:
Enhances virtual assistant capabilities by providing smooth and efficient voice interaction.
Improves customer service experiences with advanced speech recognition and response generation.
Supports accessibility initiatives, making technology more available to users with a focus on voice inputs and outputs.
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 Haiku 4.5 (200K)
Standard Context: Most other models (128K-131K)
Cost Efficiency
Models with lower multipliers will use your word balance more efficiently:
Most Efficient: GPT OSS 120B (0.02x), Nemotron 3 Nano (0.02x), Llama 4 Scout (0.03x)
Very Efficient: Llama 4 Maverick (0.1x), DeepSeek V3 (0.1x), GPT 5.4 Nano (0.1x)
Moderately Efficient: Nova Pro (0.3x), Perplexity Sonar (0.2x), Grok 4.20 (0.53x)
Task Complexity
For complex reasoning or critical applications:
Premium Performance: GPT-5.4 Pro (14x), Claude Opus 4.6 (3x), o1 (3x)
Balanced Performance: GPT-5.4 (1.4x), Gemini 3 Pro (1x)
Research-Oriented: Perplexity Deep Research (0.7x), Perplexity Sonar Pro (1.2x)
Specialized Needs
Consider models with specific strengths matching your use case:
Visual Processing: Grok 4, 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.