mlsanityData to 7 Oct 2026

Critical Insights into Leading Conversational AI Models

arXiv 2510.22729 ↗First posted 26 Oct 2025cs.AI cs.CLcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 9 references that are in the map. First posted on arXiv 26 Oct 2025.

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2 of 9 references.

References · 2

  1. 2021TruthfulQA: Measuring How Models Mimic Human Falsehoodscited by 2,919
  2. 2023Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctnesscited by 15

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