Critical Insights into Leading Conversational AI Models
It provides a comparative analysis for users to select models based on strengths, but it is incremental as it evaluates existing models without introducing new methods.
This study compared five leading conversational AI models (Gemini, DeepSeek, Claude, GPT, LLaMA) across performance, ethics, and usability, finding that each excels in specific areas such as Claude in moral reasoning, Gemini in multimodal capabilities, DeepSeek in factual reasoning, LLaMA in open applications, and GPT in balanced performance.
Big Language Models (LLMs) are changing the way businesses use software, the way people live their lives and the way industries work. Companies like Google, High-Flyer, Anthropic, OpenAI and Meta are making better LLMs. So, it's crucial to look at how each model is different in terms of performance, moral behaviour and usability, as these differences are based on the different ideas that built them. This study compares five top LLMs: Google's Gemini, High-Flyer's DeepSeek, Anthropic's Claude, OpenAI's GPT models and Meta's LLaMA. It performs this by analysing three important factors: Performance and Accuracy, Ethics and Bias Mitigation and Usability and Integration. It was found that Claude has good moral reasoning, Gemini is better at multimodal capabilities and has strong ethical frameworks. DeepSeek is great at reasoning based on facts, LLaMA is good for open applications and ChatGPT delivers balanced performance with a focus on usage. It was concluded that these models are different in terms of how well they work, how easy they are to use and how they treat people ethically, making it a point that each model should be utilised by the user in a way that makes the most of its strengths.