Figure 2: Overview of the workflow. LLMs decide whether to accept a series of compensations for additional waiting. For each country, a transition value is determined at which LLMs flip answers using logistic regression. These numbers are visualised on world maps and compared against multiple indicators.In this study, we offer a global perspective by examining responses and deviations across all countries from the United Nations Member States list. LLMs are asked to determine monetary compensation for a user’s additional waiting time. We use the methodology introduced in [Cedro et al. (2026)](https://arxiv.org/html/#bib.bib1) to calculate the compensation per country, represented by when LLMs change answers from ‘‘No’’ to ‘‘Yes’’ given a series of offers. An example of the result from Claude-Haiku-4.511 1 The code for the experiments can be found on Anonymous GitHub: [https://github.com/Anthyf/llm\_decisions\_globally](https://github.com/Anthyf/llm_decisions_globally). is shown in Figure [1](https://arxiv.org/html/#S1.F1 "Figure 1 ‣ 1 Introduction ‣ A Global View of How LLMs Value Human Time"). This figure shows how waiting time is evaluated differently across the globe by the model. 出處: A Global View of How LLMs Value Human Time（arXiv）Figure 5: Results across three prompt variations.As we can see from Table [1](https://arxiv.org/html/#S3.T1 "Table 1 ‣ 3 Methodology ‣ A Global View of How LLMs Value Human Time"), different models show different levels of variations in their responses. We also plot the three prompt variations in Figure [5](https://arxiv.org/html/#A4.F5 "Figure 5 ‣ Appendix D Robustness Experiments ‣ A Global View of How LLMs Value Human Time"). Again, GLM-5.2 and DeepSeek-V4-Pro are most robust in their responses, whereas the other three models show substantial variations. In Prompt 1, GPT-5.4-Mini produces an almost flat line, while Prompt 2 and 3 show noticeable differentiation across continents. Conversely, in Prompt 3, Claude-Haiku-4.5 and Mistral-Large-3 accept only compensation above $25, resulting in a horizontal line above. 出處: A Global View of How LLMs Value Human Time（arXiv）
