In a recent chat box discussion, we delved into the exciting world of artificial intelligence (AI) and explored the capabilities of various AI models. From ChatGPT to Grok, Gemini, Copilot, and DeepSeek AI, each model showcased its unique strengths and weaknesses.
Top AI Models: A Comparison
We started by comparing the top AI models, including their intelligence, output speed, and context window. ChatGPT, developed by OpenAI, impressed with its conversational AI capabilities and content generation. Gemini, developed by Google, showcased its multimodal capabilities, processing and generating text, images, and audio. Grok, developed by xAI, excelled in reasoning and problem-solving tasks.
User Base and Potential
We also discussed the user base and potential of each AI model. ChatGPT and Gemini are widely used and have significant potential in various industries. Grok and DeepSeek AI showed promise in research and development, while Copilot integrated with GitHub for coding assistance.
Strengths and Weaknesses
Each AI model has its strengths and weaknesses. ChatGPT excels in language understanding and generation but has limitations in controlling generated content. Gemini’s multimodal capabilities are impressive, but its weaknesses are not well-documented. Grok’s reasoning capabilities are notable, but its language support and multimodal capabilities are unclear.
Privacy and Security
Finally, we touched on the importance of privacy and security in AI models. When asked about reading chat contents, the response was to refer to Meta’s Privacy Center, highlighting the need for transparency and data protection.
Conclusion
Our discussion highlighted the rapid advancements in AI technology and the diverse capabilities of various AI models. As AI continues to shape industries and revolutionize the way we interact with technology, it’s essential to understand the strengths and weaknesses of each model. By exploring the possibilities and limitations of AI, we can harness its potential to drive innovation and progress.
This article is generated based on the following simple prompt on Meta AI
What are top 7 ai in 2025
Here are the top 7 AI trends to watch out for in 2025:
- Small Language Systems (SLMs): These compact AI models are designed to be more efficient and scalable, making them perfect for startups and small businesses. SLMs need fewer parameters to process, generating responses faster than larger models while reducing environmental footprint. Examples include Microsoft’s Phi-4 and Apple’s eight small AI models.
- Agentic AI: Autonomous AI systems that can make decisions with minimal human input, agentic AI is predicted to transform automation across industries. It’s already being used in retail and healthcare to personalize experiences and analyze patient data. However, caution is advised due to rapid development outpacing legal guardrails.
- AI Cybersecurity: As AI models become more accessible, cybercrime is expected to boom, with annual revenues projected to exceed $10.5 trillion in 2025. AI-powered threats include phishing, deepfakes, and malware attacks. On the other hand, AI can also be used to detect threats in real-time and reverse-engineer exploits.
- AI Search Engines: AI is revolutionizing the way we search for information. Google’s AI summary feature and OpenAI’s ChatGPT Search are examples of this trend. While traditional search engine results pages may not become obsolete just yet, AI will continue to disrupt the way we search.
- AI Chips: Specialized integrated circuits designed for AI tasks, AI chips can handle advanced computations and larger data amounts than traditional CPUs. Demand for AI chips is predicted to grow 35% year-over-year in 2025, reaching a market value of $120 billion.
- Edge AI: Combining AI with edge computing, edge AI reduces bandwidth usage and latency issues while providing extra security. It’s already making waves in industries like healthcare, manufacturing, and automotive, with the market predicted to be worth $62.93 billion by 2030.
- Enterprise Search Systems: These AI-powered solutions revolutionize the way employees search for information within corporate organizations. By leveraging data across various silos, enterprise search tools can improve productivity and profitability ¹.
Compare grok (xai), chatgpt (openai), meta ai, gemini, copilot, and deepseek ai
Here’s a comparison of Grok, ChatGPT, Meta AI, Gemini, Copilot, and DeepSeek AI:
Intelligence and Quality
Top Models:
o4-mini (high): Scores 70 on intelligence index
Gemini 2.5 Pro: Scores 69 on intelligence index
Grok 3 mini Reasoning (high): Scores 67 on intelligence index
ChatGPT (GPT-4o): Scores 50 on intelligence index
DeepSeek R1: Scores 60 on intelligence index
Output Speed and Latency
Fastest Models:
DeepSeek R1 Distill Qwen 1.5B: 388 tokens per second
Gemini 2.5 Flash (Reasoning): 338 tokens per second
Lowest Latency Models:
Aya Expanse 8B: 0.11 seconds
Command-R (Mar ’24): 0.14 seconds
Grok 3 mini Reasoning (high): 114.5 tokens per second, 0.26 seconds latency
ChatGPT (GPT-4o): 160.5 tokens per second, 0.28 seconds latency
Price and Context Window
Cheapest Models:
Gemma 3 4B: $0.03 per million tokens
Qwen2.5 Coder 7B: $0.03 per million tokens
Largest Context Window Models:
Llama 4 Scout: 10 million tokens
MiniMax-Text-01: 4 million tokens
Grok 3: $6.00 per million tokens, 1 million context window
ChatGPT (GPT-4o): $7.50 per million tokens, 128k context window
Model Providers and Features
Grok: Developed by xAI, known for its reasoning capabilities
ChatGPT: Developed by OpenAI, popular for conversational AI
Meta AI: Developed by Meta, utilizes Llama models
Gemini: Developed by Google, known for its multimodal capabilities
Copilot: Developed by Microsoft, integrates with GitHub for coding assistance
DeepSeek AI: Developed by DeepSeek, focuses on research and development ¹
List them in order based on the most users to the least users
Unfortunately, the exact user numbers for each AI model aren’t publicly available. However, based on popularity, pricing, and usage trends, here’s a rough ordering from most users to least users ¹:
Top Contenders:
ChatGPT (GPT-4o): Widely used for conversational AI, with a price of $7.50 per million tokens
Gemini: Developed by Google, known for its multimodal capabilities, with various pricing options
Grok: Developed by xAI, known for its reasoning capabilities, with prices starting at $0.35 per million tokens for Grok 3 mini Reasoning
Mid-Tier Models:
Llama 3: Developed by Meta AI, widely used for research and development, with various pricing options
Claude: Developed by Anthropic, known for its conversational AI capabilities, with prices starting at $6.00 per million tokens
Copilot: Developed by Microsoft, integrates with GitHub for coding assistance, pricing not specified
Specialized Models:
DeepSeek AI: Focuses on research and development, with prices starting at $0.96 per million tokens for DeepSeek R1
Other Models: Various specialized models like Qwen, Nova, and Command-R, with pricing options ranging from $0.03 to $6.00 per million tokens
Keep in mind that this ordering is approximate, as user numbers aren’t publicly available. The popularity of AI models can vary depending on their applications, pricing, and user preferences.
List them in order based on the most potential to the least potential in the future
Here’s a list of the AI models in order of their potential, from highest to lowest, based on their current capabilities, trends, and future possibilities:
High Potential
Gemini: Developed by Google, Gemini is known for its multimodal capabilities, which could lead to significant advancements in various industries. Its potential lies in its ability to process and generate text, images, audio, and video, making it a powerful tool for applications like content creation and virtual assistants.
ChatGPT (GPT-4o): Developed by OpenAI, ChatGPT has shown impressive capabilities in conversational AI, content generation, and problem-solving. Its potential lies in its ability to understand and respond to human input, making it suitable for applications like customer service, language translation, and writing assistance.
Moderate to High Potential
Grok: Developed by xAI, Grok has shown promising results in reasoning and problem-solving tasks. Its potential lies in its ability to handle complex queries and provide accurate answers, making it suitable for applications like research, education, and decision-making.
Llama 3 (Meta AI): Developed by Meta, Llama 3 has shown capabilities in natural language processing and generation. Its potential lies in its ability to understand and respond to human input, making it suitable for applications like chatbots, virtual assistants, and content creation.
Moderate Potential
Copilot: Developed by Microsoft, Copilot has shown capabilities in coding assistance and software development. Its potential lies in its ability to assist developers in writing code, debugging, and testing, making it a useful tool for software development teams.
DeepSeek AI: Developed by DeepSeek, this AI model has shown capabilities in research and development. Its potential lies in its ability to analyze complex data and provide insights, making it suitable for applications like scientific research, finance, and healthcare.
Keep in mind that the potential of these AI models depends on various factors, including their development, deployment, and adoption. The actual potential of each model may vary based on how they are utilized and improved over time ¹.
What are each of their strong points and weak points
AI Models’ Strengths and Weaknesses
ChatGPT (GPT-4o)
Strengths:
Advanced language understanding and generation capabilities
Supports over 50 languages, covering 97% of speakers worldwide
Can process and generate text, images, and audio
Fast response times, with nearly zero delay in voice conversations
Integrates with various platforms, including desktop and mobile apps
Weaknesses:
Knowledge cutoff date of October 2023, which may lead to outdated information
Limited control over generated content, potentially producing biased or sycophantic responses
Controversy surrounding voice similarity to Scarlett Johansson, raising concerns about AI voice generation and celebrity likeness
Grok
Strengths:
Excels in reasoning and problem-solving tasks, providing accurate answers
Developed by xAI, with a focus on advanced AI capabilities
Weaknesses:
Limited information available on its language support and multimodal capabilities
Potential limitations in handling complex queries or nuanced conversations
Gemini
Strengths:
Multimodal capabilities, processing and generating text, images, and audio
Strong performance in various benchmarks, including visual understanding and audio translation
Developed by Google, leveraging its expertise in AI and machine learning
Weaknesses:
Limited information available on its specific weaknesses or areas for improvement
Potential challenges in handling real-time video processing or complex object detection tasks
Copilot
Strengths:
Integrations with GitHub for coding assistance and software development
Assists developers in writing code, debugging, and testing
Useful tool for software development teams
Weaknesses:
Limited information available on its capabilities beyond coding assistance
Potential limitations in handling complex or nuanced coding tasks
DeepSeek AI
Strengths:
Focuses on research and development, providing insights and analysis
Can process and generate text, with potential applications in various industries
Weaknesses:
Limited information available on its specific capabilities or features
Potential limitations in handling multimodal tasks or real-time conversations
Meta AI (Llama 3)
Strengths:
Advanced language understanding and generation capabilities
Utilizes Llama models, with potential applications in various industries
Supports research and development in AI and machine learning
Weaknesses:
Limited information available on its specific weaknesses or areas for improvement
Potential limitations in handling multimodal tasks or real-time conversations ¹ ² ³
Now write an article about our discussion in this chat box
The top article is the final result of Meta AI.
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.