Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GLM-4.7-Flash is clearly ahead on the aggregate, 64 to 51. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7-Flash's sharpest advantage is in coding, where it averages 47.7 against 41. The single biggest benchmark swing on the page is MMLU, 66 to 91.8. o1 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Pick GLM-4.7-Flash if you want the stronger benchmark profile. o1 only becomes the better choice if knowledge is the priority.
GLM-4.7-Flash
57.3
o1
83.8
GLM-4.7-Flash
47.7
o1
41
GLM-4.7-Flash
67.5
o1
74.3
GLM-4.7-Flash
84
o1
92.2
GLM-4.7-Flash is ahead overall, 64 to 51. The biggest single separator in this matchup is MMLU, where the scores are 66 and 91.8.
o1 has the edge for knowledge tasks in this comparison, averaging 83.8 versus 57.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GLM-4.7-Flash has the edge for coding in this comparison, averaging 47.7 versus 41. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
o1 has the edge for math in this comparison, averaging 74.3 versus 67.5. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o1 has the edge for instruction following in this comparison, averaging 92.2 versus 84. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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