Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GLM-4.5-Air is clearly ahead on the aggregate, 37 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is the reasoning model in the pair, while GLM-4.5-Air is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. o1-pro gives you the larger context window at 200K, compared with 128K for GLM-4.5-Air.
Pick GLM-4.5-Air if you want the stronger benchmark profile. o1-pro only becomes the better choice if mathematics is the priority or you need the larger 200K context window.
GLM-4.5-Air
31
o1-pro
79
GLM-4.5-Air
36.9
o1-pro
86
GLM-4.5-Air is ahead overall, 37 to 33. The biggest single separator in this matchup is AIME 2024, where the scores are 37 and 86.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 31. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o1-pro has the edge for math in this comparison, averaging 86 versus 36.9. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
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