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)