For each model reasoning was enabled, and the reasoning effort is set to high. I included GPT 5.2 because it could be argued that it can reason better than mini. However, I couldn't test GPT 5.2 as much as the other models because it was too costly. Gemini 3 Pro was costly as well, but it didn't spend as much time as GPT 5.2 during reasoning which made it more affordable in my experience.
上世纪90年代初，福建省领导科学研究会曾邀时任宁德地委书记习近平对青年领导干部谈谈如何干好工作的问题，一篇《从政杂谈》引经据典、发人深省——
。关于这个话题，51吃瓜提供了深入分析
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.，详情可参考谷歌浏览器【最新下载地址】
Visit cj.com to register as a publisher.。旺商聊官方下载对此有专业解读
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