Lexnary

May 12, 2025 – In a dynamic discussion within a virtual chat box, we embarked on an exploration of the leading artificial intelligence models shaping the landscape of 2025. Our conversation delved into the anticipated top contenders, their user bases, future potential, and the unique strengths and weaknesses that define them.

The initial query sought to identify the “top 7” AI in 2025, a challenging task given the rapid evolution of the field. We navigated this by highlighting key areas of influence and specific AI models expected to be at the forefront. Advanced Large Language Models (LLMs) like the anticipated GPT-5 (or its successor), an evolving Google Gemini, and Anthropic’s Claude were identified as crucial players. The rise of AI Agents capable of autonomous task execution and sophisticated AI-powered search tools like Perplexity AI were also highlighted. Furthermore, the growing impact of AI in specialized domains such as healthcare, cybersecurity, and creative fields, alongside the increasing sophistication of AI for software development (exemplified by GitHub Copilot and similar tools), and the proliferation of Multimodal AI capable of understanding various data types, were recognized as pivotal trends. Finally, the overarching importance of AI Governance and Ethical AI frameworks was underscored.

Our conversation then shifted to a comparative analysis of six prominent AI models: Grok (xAI), ChatGPT (OpenAI), Meta AI, Gemini, Copilot, and DeepSeek AI. We examined their developers, key features, strengths, and potential weaknesses.

Grok, developed by xAI, stood out for its real-time access to information via the web and X, its commitment to “truthfulness,” and its unique “Fun Mode.” Its multimodal capabilities and the ability to generate code from images were also noted as strengths, though potential biases from its training data and its relatively newer stage of development were identified as potential weaknesses.  

ChatGPT, from OpenAI, was recognized for its strong general language capabilities, contextual understanding, extensive plugin ecosystem, and web search integration. Its multimodal advancements with GPT-4o further solidify its position. However, the potential for hallucinations and biases in its training data remain areas for improvement.  

Meta AI, deeply integrated into Meta’s vast social media platforms, showcased its personalization focus, strong multimodal communication (particularly voice and vision), and innovative image generation and editing features. Privacy concerns and regional limitations were noted as potential drawbacks.  

Gemini, Google’s multimodal offering, impressed with its native ability to reason across various data types and its deep integration within Google’s extensive ecosystem. Its strong information retrieval capabilities and scalability were highlighted as key strengths, although occasional inconsistencies in accuracy and the evolving nature of its app experience were mentioned.  

Copilot, Microsoft’s AI companion, demonstrated its value through seamless integration with the Microsoft 365 suite, strong text generation and summarization, and image generation powered by DALL-E 3. Its context-awareness within the Microsoft environment is a significant advantage, though the reliability of its voice chat and its dependence on the Microsoft ecosystem were noted as potential limitations.  

Finally, DeepSeek AI was recognized for its exceptional coding abilities, its contribution to the open-source community through model releases, and its focus on efficiency. However, its more niche focus on developers and a potentially smaller general knowledge base were identified as potential weaknesses compared to broader AI models.

Following this detailed comparison, we sought to rank these models based on their estimated user base as of May 12, 2025. Based on available data and projections, the likely order from most to least users was: ChatGPT, Meta AI, Gemini, Copilot, Grok, and DeepSeek AI.

Finally, we engaged in a more speculative exercise: ranking these models based on their future potential. This ranking considered their technological foundations, strategic positioning, and areas of innovation. Gemini (Google) was positioned as having the highest potential due to Google’s vast resources and deep integration. ChatGPT (OpenAI) followed closely due to its consistent advancements in LLMs. Meta AI‘s unique access to social data and focus on personalized AI placed it third. Copilot (Microsoft)‘s integration into productivity tools suggested strong future potential in the enterprise space. Grok (xAI)‘s unique approach offered moderate potential, contingent on its ability to scale and carve a niche. DeepSeek AI‘s strong coding focus provided moderate potential within the developer community.  

This insightful discussion within the confines of our chat box provided a valuable snapshot of the dynamic AI landscape in 2025, highlighting the key players, their strengths, weaknesses, and the exciting potential that lies ahead. As these technologies continue to evolve at a rapid pace, the insights gleaned from this conversation offer a crucial perspective on the forces shaping our future interactions with artificial intelligence.

This article is generated based on the following simple prompt on Google Gemini

What are top 7 ai in 2025

While it’s challenging to definitively name the “top 7” AI in 2025 as the field is rapidly evolving and subjective, here are some key areas and specific AI models that are anticipated to be highly influential and advanced in 2025, based on current trends and expert predictions:

Key Areas and Influential AI:

1. Advanced Large Language Models (LLMs):
   • GPT-5 (or successor): Expected to be a significant leap from current models like GPT-4o, with enhanced reasoning, reduced factual errors, and potentially new capabilities.
   • Google Gemini (evolving versions): Google’s multimodal AI is anticipated to become even more powerful, integrating information from various sources like text, images, and audio for more context-aware interactions.
   • Anthropic’s Claude (evolving versions): Known for its safety and strong reasoning capabilities, Claude is expected to advance further in complex reasoning and coding tasks.
2. AI Agents:
   • Agentic AI systems: Autonomous AI programs that can plan and execute tasks independently. These will likely move beyond simple chatbots to manage complex workflows, automate business processes, and act as intelligent assistants. Examples include experimental platforms like Zapier Agents, which aim to teach AI to work across multiple applications.
3. AI-Powered Search and Information Retrieval:
   • Perplexity AI: This AI-powered search engine, known for providing fact-based answers with citations, is expected to continue to be a valuable tool for research and information verification.
   • Google AI Overviews: Integrated into Google Search, these AI-generated summaries are likely to become more sophisticated in providing quick and relevant information.
4. AI in Specific Domains:
   • AI in Healthcare: Advancements in AI for diagnostics, personalized treatment, drug discovery, and virtual health assistants will continue to be significant.
   • AI in Cybersecurity: AI will play an increasingly crucial role in threat detection, automated security tasks, and faster response times.
   • AI in Creative Fields (Generative AI): Tools for generating text, images, music, and other content will become more integrated into various industries, acting as creative co-pilots. Examples include evolving versions of DALL-E for image generation.
5. AI for Software Development:
   • GitHub Copilot and similar tools: AI-powered coding assistants that can generate, review, and test code are expected to become even more integrated into the software development process, increasing efficiency. Google’s Gemini Code Assist and Amazon’s Q Developer are also key players in this space.
6. Multimodal AI:
   • AI systems that can process and understand information from multiple data types (text, images, audio, video) will become more prevalent, leading to more intuitive human-computer interactions and improved accuracy in AI outputs.
7. AI Governance and Ethical AI:
   • While not a specific “AI,” the focus on developing and implementing ethical AI frameworks and governance platforms will be crucial. This includes ensuring transparency, addressing bias, and managing the responsible deployment of AI technologies.

Important Considerations:

• Rapid Evolution: The field of AI is incredibly dynamic, and new models and applications emerge frequently. Predictions can change quickly.
• Subjectivity: What constitutes the “top” AI can depend on the criteria used (e.g., capabilities, impact, number of users).
• Integration: Increasingly, the power of AI will come from the integration of different models and techniques to solve complex problems.

Therefore, while the specific “top 7” is fluid, the areas and examples listed above represent significant trends and influential players in the AI landscape expected for 2025.

Compare grok (xai), chatgpt (openai), meta ai, gemini, copilot, and deepseek ai

Grok (xAI), ChatGPT (OpenAI), Meta AI, Gemini, Copilot, and DeepSeek AI are all prominent players in the rapidly evolving field of artificial intelligence. Here’s a comparison based on their key characteristics and focuses as of May 12, 2025:

Grok (xAI)

• Developer: xAI, founded by Elon Musk.  
• Key Features:
  • Designed for “truthfulness” and “curiosity,” aiming to answer questions directly, even “spicy” ones.  
  • Has real-time access to information via the web and X (formerly Twitter), allowing for up-to-date responses.  
  • Offers a “Fun Mode” with a more witty and sometimes rebellious tone.  
  • Multimodal capabilities (Grok-1.5V) to process text and visual information.  
  • Can generate code from images.  
• Strengths: Real-time information access, willingness to tackle controversial topics, multimodal understanding.  
• Potential Weaknesses: May have biases due to its training data (including X data), still evolving compared to more established models.  

ChatGPT (OpenAI)

• Developer: OpenAI.  
• Key Features:
  • A highly versatile generative AI chatbot based on the GPT series of large language models (currently GPT-4o).
  • Excellent at generating human-like text, translating languages, writing different kinds of creative content, and answering questions informatively.
  • Remembers previous prompts in a conversation, allowing for contextual understanding.  
  • Offers plugins for extended functionality (e.g., web browsing, code interpretation).  
  • Has a web search feature for more accurate and up-to-date responses.  
  • Multimodal capabilities with GPT-4o, handling text, audio, and images.  
• Strengths: Strong general language capabilities, wide range of applications, large user base, and extensive ecosystem of plugins and integrations.  
• Potential Weaknesses: Can sometimes produce inaccurate or nonsensical answers (“hallucinations”), free tier has usage limits for the most advanced models.  

Meta AI

• Developer: Meta Platforms (formerly Facebook).  
• Key Features:
  • Focuses on building a more “personal AI” that understands user preferences and interests.
  • Integrated into Meta’s platforms (WhatsApp, Instagram, Facebook, Messenger) and available as a standalone app.  
  • Utilizes the Llama family of large language models (currently Llama 4).
  • Offers features like image generation and editing through voice or text conversations.  
  • Has a “Discover feed” for users to explore and remix AI prompts.  
  • Integrates with Ray-Ban Meta smart glasses.  
• Strengths: Deep integration within a large ecosystem of social platforms, personalization capabilities, strong focus on multimodal communication (especially voice and vision).  
• Potential Weaknesses: Some features may be limited to specific countries and languages, potential privacy concerns due to its connection to Meta’s social platforms.

Gemini (Google)

• Developer: Google.
• Key Features:
  • A multimodal AI model built from the ground up to reason across text, images, audio, video, and code.
  • Integrated into various Google products like Search (AI Overviews), Gmail (“Help me write”), Docs, and Maps.  
  • Available as a standalone app that can replace Google Assistant on phones.  
  • Offers features like real-time image generation, summarization of content from Gmail and Drive, and integration with Maps and Flights.  
  • Has different model sizes (e.g., Nano, Flash, Pro, Ultra) for various performance and efficiency needs.
• Strengths: Native multimodality, deep integration with Google’s extensive suite of products and services, strong focus on providing helpful information and enhancing productivity.
• Potential Weaknesses: Some Google Assistant features are not yet available through the Gemini app, accuracy can sometimes be inconsistent as it’s still under rapid development.  

Copilot (Microsoft)

• Developer: Microsoft.
• Key Features:
  • An AI companion integrated into Windows, Microsoft 365 applications (Word, Excel, PowerPoint, Outlook), and available as a standalone app.  
  • Leverages OpenAI models (including GPT-4o and DALL-E 3) through Microsoft’s partnership.  
  • Can generate text, summarize content, answer questions, create images from text prompts, and translate languages.  
  • Offers features like “Copilot Daily” for news and weather summaries and voice chat.  
  • Context-aware within Microsoft 365, able to assist with tasks related to documents, emails, and presentations.
• Strengths: Seamless integration with widely used productivity tools, strong text generation and summarization capabilities, image generation powered by DALL-E 3.  
• Potential Weaknesses: Performance and reliability of voice chat have been reported as inconsistent by some users.

DeepSeek AI

• Developer: DeepSeek Company (China).  
• Key Features:
  • Known for its strong capabilities in code generation and understanding.
  • Has released open-source models that have shown competitive performance in coding benchmarks.
  • Focuses on providing efficient and effective AI solutions for developers and enterprises.
  • Offers a chat assistant accessible via an app.  
• Strengths: Excellent coding abilities, open-source model releases foster community development, strong performance in specific technical domains.  
• Potential Weaknesses: May have a smaller general knowledge base compared to larger models from US-based companies, language support and availability might be more focused on certain regions.

In Summary:

Each of these AI models has its unique strengths and focus areas:

• For real-time information and a more unfiltered approach: Grok stands out.
• For general-purpose language tasks and a wide ecosystem: ChatGPT remains a leading choice.
• For deep integration within social media and personalized AI experiences: Meta AI is key.
• For seamless integration with Google’s services and strong multimodal capabilities: Gemini is a powerful option.  
• For enhancing productivity within the Microsoft ecosystem: Copilot is a valuable tool.
• For advanced code generation and open-source contributions: DeepSeek AI is a strong contender.

The “best” AI ultimately depends on the specific use case and individual needs. These models are all expected to continue to advance rapidly in the coming years, further blurring the lines between their capabilities.

List them in order based on the most users to the least users

Based on the available information and estimates for May 12, 2025, here is the likely order of the AI models listed, from the most users to the least users:

1. ChatGPT (OpenAI): Reports indicate a massive user base, with some sources suggesting it has crossed the 1 billion weekly active users mark. Monthly active user estimates also consistently place it at the top.
2. Meta AI: Integrated into widely used platforms like Facebook, Instagram, and WhatsApp, Meta AI likely has a very large user base. Recent reports suggest over 700 million monthly active users and projections indicate it could reach 1 billion within the year.
3. Gemini (Google): Benefiting from its integration into Google’s vast ecosystem, Gemini has seen significant growth. Recent data from court documents revealed 350 million monthly active users as of March 2025.
4. Copilot (Microsoft): Integrated into Windows and Microsoft 365, Copilot has a substantial potential user base. While specific current user numbers are less readily available than for ChatGPT and Gemini, estimates from late 2024 placed it around 28 million active users. This number has likely grown with further integration.
5. Grok (xAI): While gaining traction due to its unique features and integration with X, Grok’s user base is likely smaller than the more established models from major tech companies. Specific user numbers are not widely reported, but it’s reasonable to assume it’s in the tens of millions at best.
6. DeepSeek AI: Primarily focused on developers and code generation, DeepSeek AI’s user base is more niche compared to the general-purpose chatbots. While its open-source models are popular within the developer community, its direct user count is likely the smallest among this list.

Important Considerations:

• Data Availability: Precise, up-to-the-minute user statistics are often proprietary and not publicly released. The numbers above are based on the latest available reports and estimates.
• Definition of “User”: The way “users” are counted can vary (e.g., monthly active users, weekly active users, total sign-ups). This can affect direct comparisons.
• Integration: AI models deeply integrated into existing platforms (like Meta AI and Gemini) often benefit from the large user base of those platforms.
• Rapid Growth: The AI landscape is evolving very quickly, and user numbers can change significantly in short periods.

Therefore, while this list represents the most likely order based on current information, the actual figures may vary, and the landscape could shift as these models continue to develop and be adopted.

List them in order based on the most potential to the least potential in the future

Predicting the future potential of AI models is inherently complex and speculative, as breakthroughs and shifts in focus can dramatically alter their trajectories. However, based on their current technological foundations, strategic positioning, and areas of innovation as of May 12, 2025, here’s a potential ranking from most to least future potential:

1. Gemini (Google):
   • Reasons for High Potential: Google’s extensive research infrastructure, vast datasets, and deep integration across numerous products (Search, Android, Cloud, etc.) give Gemini a significant advantage. Its native multimodality and focus on real-world applications position it well for future advancements in how humans interact with technology. Google’s commitment to AI research and its ability to deploy AI at scale across billions of users contribute to its immense potential.
2. ChatGPT (OpenAI):
   • Reasons for High Potential: OpenAI has consistently been at the forefront of large language model development. Their GPT series has demonstrated remarkable capabilities, and their focus on pushing the boundaries of general intelligence and creating powerful, versatile AI models gives them significant future potential. Their strong research team and the widespread adoption of ChatGPT across various industries provide a solid foundation for continued innovation.
3. Meta AI:
   • Reasons for High Potential: Meta’s unique position with its massive social media platforms provides unparalleled access to social interactions and multimodal data. Their focus on “personal AI” and integration into everyday communication tools like WhatsApp and Instagram could lead to highly personalized and context-aware AI experiences. Their advancements in generative AI for images and their integration with emerging technologies like smart glasses also suggest strong future potential in human-computer interaction.
4. Copilot (Microsoft):
   • Reasons for High Potential: Microsoft’s deep integration of Copilot into its widely used productivity suite (Windows, Microsoft 365) positions it as a key AI tool for professionals and individuals. Their partnership with OpenAI gives them access to cutting-edge LLM technology. As AI becomes more integral to workflows, Copilot’s ability to enhance productivity and streamline tasks across these platforms suggests significant future potential in the enterprise and personal computing space.
5. Grok (xAI):
   • Reasons for Moderate Potential: xAI’s focus on “truthfulness” and real-time information access through X offers a unique value proposition. Its willingness to tackle controversial topics and its “Fun Mode” could resonate with a specific user base. However, being a relatively newer entrant compared to the tech giants, its future potential will depend on its ability to scale its infrastructure, refine its models, and carve out a distinct and valuable niche in the competitive AI landscape. Its multimodal capabilities are promising, but its reliance on X data could also be a limitation.
6. DeepSeek AI:
   • Reasons for Moderate Potential: DeepSeek AI’s strength in code generation and its commitment to open-source models are valuable contributions to the AI community, particularly for developers. This focus could lead to significant advancements in AI-assisted software development. However, its more specialized focus might limit its overall reach and impact compared to the broader, general-purpose AI models from larger companies. Its future potential will depend on its ability to expand beyond its core strengths and compete in the wider AI market.

Key Factors Influencing Future Potential:

• Continued Research and Development: Breakthroughs in AI algorithms, training methodologies, and hardware will be crucial.
• Integration and Accessibility: How seamlessly these AI models can be integrated into existing workflows and made accessible to a wider audience will drive adoption and impact.
• Ethical Considerations and Governance: Addressing bias, ensuring safety, and establishing responsible AI practices will be vital for long-term trust and adoption.
• Multimodal Capabilities: The ability to process and understand various data types (text, image, audio, video) will be increasingly important for more human-like AI interactions.
• Specialization vs. Generalization: The optimal balance between highly specialized AI for specific tasks and more general-purpose AI remains an open question.

It’s important to reiterate that this ranking is based on the current landscape and future projections, which are subject to change. Unexpected innovations or shifts in market dynamics could alter the future potential of these AI models significantly.

What are each of their strong points and weak points

Okay, based on our discussion so far and the current understanding of these AI models as of May 12, 2025, here’s a breakdown of their key strengths and weaknesses:

Grok (xAI)

• Strong Points:
  • Real-time Information Access: Direct access to the web and X provides up-to-date information, which is a significant advantage for current events and dynamic topics.
  • “Truthfulness” and Directness: Designed to answer questions directly, even if they are considered controversial, appealing to users seeking unfiltered information.
  • “Fun Mode”: Offers a unique, witty, and sometimes rebellious tone, potentially attracting users looking for a more engaging and less formal interaction.
  • Multimodal Capabilities (Grok-1.5V): Ability to process both text and visual information, opening up possibilities for more complex queries and tasks.
  • Code Generation from Images: A novel feature allowing for a potentially intuitive way to generate code.
• Weak Points:
  • Potential for Bias: Reliance on data from X could introduce or amplify existing biases present on the platform.
  • Evolving Stage: Being a newer model compared to others, it might still be under development and could have inconsistencies or limitations.
  • Smaller Ecosystem: Likely has a smaller ecosystem of integrations and third-party tools compared to more established models.
  • Accuracy Concerns: The focus on “truthfulness” needs to be consistently validated to avoid the spread of misinformation.

ChatGPT (OpenAI)

• Strong Points:
  • Strong General Language Capabilities: Excels at generating human-like text, translation, creative content, and informative answers across a wide range of topics.
  • Contextual Understanding: Remembers previous prompts in a conversation, leading to more coherent and relevant interactions.
  • Extensive Plugin Ecosystem: Offers a wide variety of plugins that extend its functionality (web browsing, code interpretation, etc.).
  • Web Search Integration: Can access and process information from the web for more up-to-date and accurate responses.
  • Multimodal Capabilities (GPT-4o): Can handle text, audio, and images, making interactions more versatile.
• Weak Points:
  • Potential for Hallucinations: Can sometimes generate inaccurate or nonsensical information.
  • Bias in Training Data: May exhibit biases present in its training data, leading to unfair or skewed outputs.
  • Resource Intensive: Running advanced models can be computationally expensive.
  • Free Tier Limitations: Access to the most advanced models and features may be limited in the free tier.

Meta AI

• Strong Points:
  • Deep Integration within Meta’s Platforms: Seamlessly integrated into widely used social media and communication apps (Facebook, Instagram, WhatsApp, Messenger), providing easy access for a massive user base.
  • Personalization Focus: Aims to understand user preferences and interests for more tailored experiences.
  • Strong Multimodal Communication: Excels in handling voice and visual communication, leveraging the multimedia nature of Meta’s platforms.
  • Image Generation and Editing: Offers intuitive tools for creating and modifying images through conversational prompts.
  • Integration with Hardware: Works with Ray-Ban Meta smart glasses, suggesting a focus on ambient AI experiences.
• Weak Points:
  • Privacy Concerns: Being deeply integrated with Meta’s platforms raises potential privacy concerns regarding data usage.
  • Regional Limitations: Some features and language support might be restricted to specific geographic areas.
  • Potential for Social Media Bias: Its training data could reflect the biases and dynamics prevalent on social media.
  • Evolving Functionality: As a newer integrated AI, some features might still be in development and less mature than standalone models.

Gemini (Google)

• Strong Points:
  • Native Multimodality: Designed from the ground up to understand and reason across text, images, audio, video, and code.
  • Deep Integration with Google’s Ecosystem: Seamlessly integrated into Google Search, Gmail, Docs, Maps, and Android, enhancing productivity and information access.
  • Strong Information Retrieval Capabilities: Leverages Google’s vast knowledge graph and search infrastructure for accurate and comprehensive answers.
  • Scalability and Efficiency: Offers different model sizes optimized for various performance and efficiency needs.
  • Proactive Assistance: Aims to provide helpful information and automate tasks within Google’s services.
• Weak Points:
  • Inconsistent Accuracy: While generally strong, accuracy can sometimes vary, and it can still produce incorrect information.
  • Evolving App Experience: The standalone Gemini app might still be in the process of fully replacing Google Assistant, leading to feature gaps.
  • Potential for Over-reliance on Google’s Ecosystem: Its strengths are heavily tied to the Google ecosystem, potentially limiting its effectiveness outside of it.
  • Privacy Considerations: As with other large tech companies, data privacy is a consideration for users within the Google ecosystem.

Copilot (Microsoft)

• Strong Points:
  • Seamless Integration with Microsoft 365: Deeply embedded in widely used productivity applications (Word, Excel, PowerPoint, Outlook), enhancing workflows.
  • Strong Text Generation and Summarization: Excellent at creating and condensing text within the Microsoft environment.
  • Image Generation Powered by DALL-E 3: Offers high-quality image creation capabilities.
  • Context-Aware within Microsoft 365: Can understand and act based on the content of documents, emails, and presentations.
  • Voice Chat Functionality: Offers an alternative way to interact with the AI.
• Weak Points:
  • Voice Chat Reliability: Some users have reported inconsistencies in the performance and reliability of the voice chat feature.
  • Dependence on Microsoft Ecosystem: Its primary strengths are tied to its integration within Microsoft products.
  • Potential for Feature Overlap: With the rapid development of AI, there might be overlaps or inconsistencies in AI features across different Microsoft products.
  • Learning Curve: Effectively leveraging Copilot’s features within various applications might require some learning.

DeepSeek AI

• Strong Points:
  • Excellent Coding Abilities: Known for its strong performance in code generation, understanding, and related tasks.
  • Open-Source Model Releases: Contributes to the AI community by releasing competitive open-source models.
  • Focus on Efficiency: Aims to provide effective AI solutions with potentially lower computational requirements.
  • Strong Performance in Technical Domains: Excels in specific technical areas, particularly related to software development.
• Weak Points:
  • Smaller General Knowledge Base: May have a more limited general knowledge compared to the broader models from larger companies.
  • Niche Focus: Primarily geared towards developers and technical users, limiting its appeal to a wider audience.
  • Language and Regional Limitations: Language support and availability might be more focused on certain regions.
  • Smaller Ecosystem and Integration: Likely has a smaller ecosystem of integrations and third-party tools compared to more general-purpose models.

This breakdown provides a comparative overview of the strengths and weaknesses of each AI model as of the current date. Keep in mind that these models are constantly evolving, and their capabilities and limitations may change over time.

Now write an article about our discussion in this chat box

The top article is the final result of Google Gemini.

We have asked Grok (xai), Chatgpt (openai), Meta AI, Gemini, Copilot, and DeepSeek AI the same questions with the same prompt on the same PC simultaneously.