Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GLM-5 (Reasoning) is clearly ahead on the aggregate, 84 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5 (Reasoning)'s sharpest advantage is in mathematics, where it averages 96 against 85.2. The single biggest benchmark swing on the page is GPQA, 94 to 71.2.
GPT-5 nano gives you the larger context window at 400K, compared with 200K for GLM-5 (Reasoning).
Pick GLM-5 (Reasoning) if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if you need the larger 400K context window.
GLM-5 (Reasoning)
80.3
GPT-5 nano
71.2
GLM-5 (Reasoning)
96
GPT-5 nano
85.2
GLM-5 (Reasoning) is ahead overall, 84 to 31. The biggest single separator in this matchup is GPQA, where the scores are 94 and 71.2.
GLM-5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 80.3 versus 71.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GLM-5 (Reasoning) has the edge for math in this comparison, averaging 96 versus 85.2. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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