GLM-5.3 leads AA-PersonalityBench in em-dash usage
ArtificialAnlys counted the em dashes in every response produced by each model in AA-PersonalityBench. GLM-5.3 averaged 7.4 per response, the highest rate measured, while Claude Opus 5.5 averaged 0.02 and Claude Haiku 5.5 and Claude Sonnet 5.5 averaged nearly none.
The benchmark provides a concrete behavioral comparison of punctuation usage across several AI models.
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