An interactive comparison (as of July 17th 2025)
Key functionalities are explained below.
| Chatbot | Advantages / Drawbacks | Latency | Key Functionalities | Best Use-Case | Overall Score |
|---|
This capability allows AI chatbots to access and retrieve current information from the internet in real-time, rather than relying solely on their training data. This means they can provide up-to-date answers about recent events, current stock prices, latest news, or any information that has emerged after their training cutoff. This functionality is particularly valuable for research, fact-checking, and staying informed about rapidly changing topics.
Advanced AI models now feature explicit reasoning capabilities where they can "think through" problems step-by-step before providing answers. This involves breaking down complex queries, considering multiple approaches, weighing pros and cons, and showing their logical process. This transparency in reasoning leads to more accurate responses for challenging problems and allows users to understand and verify the AI's thought process, making it particularly useful for academic work and complex decision-making.
Vision analysis enables AI chatbots to understand and interpret visual content including images, charts, graphs, diagrams, and documents. These models can extract text from images (OCR), analyze data visualizations, describe scenes, identify objects, read handwritten notes, and even interpret complex technical diagrams. This multimodal capability transforms how users interact with AI, allowing them to upload visual content and receive detailed analysis, making it invaluable for data analysis and document processing.
This refers to an AI's ability to maintain awareness of and reference extensive amounts of information within a single conversation or document. Models with large context windows can process entire books, lengthy research papers, or extended conversations without losing track of earlier details. This enables comprehensive analysis of long documents, maintaining coherent multi-part discussions, and working with complex projects that require understanding relationships between many different pieces of information throughout the interaction.
Advanced code generation capabilities allow AI chatbots to write, debug, explain, and optimize programming code across multiple languages and frameworks. These models can create complete applications, fix bugs, convert code between languages, generate documentation, and even architect complex software solutions. They understand programming concepts, best practices, and can adapt their coding style to specific requirements. This functionality has revolutionized software development by providing instant coding assistance, learning support, and rapid prototyping capabilities for developers of all skill levels.
This feature allows users to create personalized AI assistants tailored to specific tasks, roles, or knowledge domains. Users can define custom instructions, upload their own data sets, train bots on specific topics, and create specialized workflows. These custom chatbots can be programmed with particular personalities, expertise areas, or business processes, making them ideal for customer service, educational purposes, or domain-specific applications. This functionality transforms general-purpose AI into specialized tools that understand unique contexts and requirements.
Written by Nicolas Martin, crafted with Claude Sonnet 4. Picture created with ChatGPT.