Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GLM-5 is clearly ahead on the aggregate, 74 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5 gives you the larger context window at 200K, compared with 128K for GPT-4o mini.
Pick GLM-5 if you want the stronger benchmark profile. GPT-4o mini only becomes the better choice if coding is the priority.
GLM-5
71.2
GPT-4o mini
82
GLM-5
53.7
GPT-4o mini
87.2
GLM-5
84
GPT-4o mini
87
GLM-5 is ahead overall, 74 to 43. The biggest single separator in this matchup is HumanEval, where the scores are 80 and 87.2.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 71.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for coding in this comparison, averaging 87.2 versus 53.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for multilingual tasks in this comparison, averaging 87 versus 84. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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