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GLM-5.3 Uses the Most Em Dashes in AA-PersonalityBench
- Who
- Artificial Analysis
- What
- reported em dash counts per response for models measured in AA-PersonalityBench
- Quote
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
What happened
In AA-PersonalityBench, GLM-5.3 averages 7.4 em dashes per response, the most of any model measured. GLM-5.3-Flash and Muse Wonder average 6.9, while GPT-3.5 Turbo and Claude Haiku 5.5 average 0.00.
Read next
See the full storyArtificial Analysis Compares Em Dash Use Across AA-PersonalityBench ModelsIn 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)
The story so far
Artificial Analysis reported that GLM-5.3 averaged 7.4 em dashes per response in AA-PersonalityBench, the highest count among models measured. GLM-5.3-Flash and Muse Wonder averaged 6.9, while GPT-3.5 Turbo and Claude Haiku 5.5 averaged 0.00.
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