GLM-5.3在AA性格基准中最爱用长破折号
ArtificialAnlys 统计了 AA-PersonalityBench 中每个模型每次回答所使用的长破折号数量。GLM-5.3 平均每次使用7.4个，为所有受测模型最高；Claude Opus 5.5 平均为0.02个，Claude Haiku 5.5 和 Claude Sonnet 5.5 则几乎不使用。
该基准为多个AI模型的标点使用行为提供了具体且可量化的对比。
In AA-PersonalityBench, GLM-5.3 uses the most em dashes of any model measured, averaging 7.4 per response, while Claude Opus 5.5, Claude Sonnet 5.5 and Claude Haiku 5.5 use almost none
We count the em dashes in every response each model gives across the benchmark. Claude Fable 5.1 averages 6.4 em dashes per response, while Claude Opus 5.5 averages fewer than one every 40 responses.
Average em dashes per response:
➤ Highest: GLM-5.3 (7.4), GLM-5.3-Flash (6.9), Muse Wonder (6.9), Kimi K3 (6.7) and Muse Spark 1.3 (6.5)
➤ Lowest: GPT-3.5 Turbo (0.00), Claude Haiku 5.5 (0.00), Claude Sonnet 5.5 (0.00 at medium, 0.01 at max), Llama 4 Maverick (0.01) and Claude Opus 5.5 (0.02)
#AA-PersonalityBench#GLM-5.3#GLM-5.3-Flash#Claude Opus 5.5#Claude Sonnet 5.5#Claude Haiku 5.5#Claude Fable 5.1#Muse Wonder#Muse Spark 1.3#Kimi K3#GPT-3.5 Turbo#Llama 4 Maverick