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Which Chat AI models does Magai have access to?

Magai's current list of available LLM (Large Language Models)

Paul Gaurano avatar
Written by Paul Gaurano
Updated yesterday

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

Claude Sonnet 4.5

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. Claude Sonnet 4.5

Context Window: 200K

Multiplier: 2x

Overview: Claude Sonnet 4.5 signifies a significant leap in AI technology, providing superior performance through enhanced reasoning and comprehension. This version maintains professional-grade capabilities while optimizing computational resources, ensuring it is suitable for diverse applications that require depth, accuracy, and reliability.

Key Features:

  • Empowers precise evaluations and conclusions across complex domains.

  • Facilitates the resolution of intricate issues through coordinated and multi-layered approaches.

  • Offers nuanced comprehension of language, enabling more human-like interactions and interpretations.

  • Delivers consistent and dependable performance on tasks demanding higher degrees of intricacy.

Use Cases:

  • Supports comprehensive and accurate creation and evaluation of technical materials, fostering better understanding and communication of complex concepts.

  • Aids in the generation of detailed and varied content, meeting the diverse needs of industries and audiences.

  • Provides insightful and thorough analysis for strategic decision-making, enhancing the quality and effectiveness of business operations.

7. DeepSeek R1

Context Window: 64K

Multiplier: 0.2x

Overview: DeepSeek R1 is crafted for applications requiring effective processing and reliable performance at a manageable computational cost. Its balance of speed and efficiency makes it ideal for scenarios where quick, yet accurate, data handling is essential without overextending resources.

Key Features:

  • Combines speed with accuracy to handle moderate data loads efficiently.

  • Ensures consistent results, catering to tasks needing reliable execution.

  • Delivers quality performance while maintaining low resource usage, optimizing operational costs.

Use Cases:

  • Perfect for tasks needing reliable yet swift data processing.

  • Supports steady content production with precise and controlled outputs.

  • Ideal for environments that demand task automation with controlled resource investment.

8. 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.

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 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. Llama 4 Maverick

Context Window: 1M

Multiplier: 0.1x

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.

22. Llama 4 Scout

Context Window: 328K

Multiplier: 0.1x

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.

23. 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

24. Mistral Pixtral

Context Window: 128K

Multiplier: 1x

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.

25. Nemotron 70B

Context Window: 131K

Multiplier: 0.03x

Overview: Nemotron 70B stands out by offering one of the lowest usage multipliers on the platform, delivering excellent value while maintaining solid performance. It is tailored to efficiently process data within its context window, combining cost-effectiveness with dependable functionality.

Key Features:

  • Operates with an extremely low multiplier, minimizing costs while ensuring effective performance.

  • Handles a variety of tasks reliably, supported by its solid processing capabilities within the 131K context window.

  • Designed to deliver significant performance gains at a minimal operational cost, optimizing budget constraints.

Use Cases:

  • Ideal for projects requiring reliable performance without incurring high usage costs.

  • Suitable for scaling tasks where managing costs alongside performance is crucial.

  • Supports business applications that demand efficient and effective data processing within limited budgets.

26. 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

27. Nova Micro

Context Window: 128K

Multiplier: 0.01x

Overview: The most cost-effective model on the platform, making it ideal for high-volume, routine tasks where efficiency and minimal cost are paramount. It offers streamlined performance tailored to handle substantial tasks effectively without burdening resources.

Key Features:

  • Operates with the lowest multiplier available, ensuring minimal computational expenses for tasks.

  • Designed to manage high volumes of routine data efficiently, supported by its 128K context window.

  • Provides a straightforward, yet effective, AI solution for tasks requiring fast and reliable processing.

Use Cases:

  • Ideal for tasks that involve processing large amounts of data regularly, optimizing time and costs.

  • Perfect for scenarios where operational costs and efficiency are critical considerations.

  • Supports professional environments needing robust processing capabilities at the lowest possible cost.

28. 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.

29. 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

30. 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

31. 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

32. 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.

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.

33. 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.

34. Perplexity Sonar Pro

Context Window: 200K

Multiplier: 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.

35. Voice GPT

Context Window: -

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 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.

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