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Large language models are proficient in solving and creating emotional intelligence tests | Communications Psychology

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Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Advertisement Communications Psychology volume  3, Article number: 80 (2025) Cite this article 20k Accesses 280 Altmetric Metrics details Large Language Models (LLMs) demonstrate expertise across diverse domains, yet their capacity for emotional intelligence remains uncertain. This research examined whether LLMs can solve and generate performance-based emotional intelligence tests. Results showed that ChatGPT-4, ChatGPT-o1, Gemini 1.5 flash, Copilot 365, Claude 3.5 Haiku, and DeepSeek V3 outperformed humans on five standard emotional intelligence tests, achieving an average accuracy of 81%, compared to the 56% human avera

Introduction Emotions are crucial for forming and maintaining social bonds, and effectively communicating them is vital for achieving positive outcomes in individuals and groups1. Thus, individuals with strong skills in recognizing, understanding, expressing, and responding to emotions (often summarized under the term ability emotional intelligence or ability EI2) often achieve better outcomes across different life domains, such as the workplace. For example, individuals with higher knowledge about emotions and emotion regulation strategies are perceived as warmer and more competent during…

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