Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GLM-4.7 is clearly ahead on the aggregate, 74 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 nano gives you the larger context window at 400K, compared with 200K for GLM-4.7.
Pick GLM-4.7 if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if knowledge is the priority or you need the larger 400K context window.
GLM-4.7
70.3
GPT-5 nano
71.2
GLM-4.7
85
GPT-5 nano
85.2
GLM-4.7 is ahead overall, 74 to 31. The biggest single separator in this matchup is GPQA, where the scores are 84 and 71.2.
GPT-5 nano has the edge for knowledge tasks in this comparison, averaging 71.2 versus 70.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5 nano has the edge for math in this comparison, averaging 85.2 versus 85. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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