Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Pro is clearly ahead on the aggregate, 90 to 78. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 Pro's sharpest advantage is in coding, where it averages 84.8 against 62.5. The single biggest benchmark swing on the page is LiveCodeBench, 81 to 58.
GPT-5.2 Pro gives you the larger context window at 400K, compared with 200K for GLM-5 (Reasoning).
Pick GPT-5.2 Pro if you want the stronger benchmark profile. GLM-5 (Reasoning) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.2 Pro
85.9
GLM-5 (Reasoning)
78.3
GPT-5.2 Pro
84.8
GLM-5 (Reasoning)
62.5
GPT-5.2 Pro
96
GLM-5 (Reasoning)
78.5
GPT-5.2 Pro
95.2
GLM-5 (Reasoning)
88.9
GPT-5.2 Pro
81.5
GLM-5 (Reasoning)
72
GPT-5.2 Pro
95
GLM-5 (Reasoning)
92
GPT-5.2 Pro
93.4
GLM-5 (Reasoning)
86.4
GPT-5.2 Pro
98.2
GLM-5 (Reasoning)
94.4
GPT-5.2 Pro is ahead overall, 90 to 78. The biggest single separator in this matchup is LiveCodeBench, where the scores are 81 and 58.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 72. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for coding in this comparison, averaging 84.8 versus 62.5. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for math in this comparison, averaging 98.2 versus 94.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for reasoning in this comparison, averaging 95.2 versus 88.9. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for agentic tasks in this comparison, averaging 85.9 versus 78.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 96 versus 78.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for instruction following in this comparison, averaging 95 versus 92. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multilingual tasks in this comparison, averaging 93.4 versus 86.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.