AI 导读
同样约 60 分，可能花 5M output tokens，也可能花 75M。Qwen3.5 9B（Reasoning）跑完一遍基准测试集要消耗 74.5M output tokens，且 29% 的生成会超出其 16K 窗口；Gemma 4 E4B（Reasoning）用 5.2M tokens 就达到相近总分，且从未触及上限。在手机上，token 消耗带来的时间、能耗和发热比笔记本、台式机或服务器更难忍受。
正文
A score of ~60 can cost 5M output tokens or 75M. Qwen3.5 9B (Reasoning) spends 74.5M output tokens across one pass of the benchmark set and runs out of its 16K window on 29% of generations; Gemma 4 E4B (Reasoning) reaches a similar overall score on 5.2M tokens and never hits the limit. On a phone, token use leads to time, energy use and heat that are less tolerable than on a laptop, desktop or server
来源：@ArtificialAnlys · x.com