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 76. 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 59.5. The single biggest benchmark swing on the page is LiveCodeBench, 81 to 54.
GPT-5.2 Pro is the reasoning model in the pair, while Grok 4.1 Fast 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. Grok 4.1 Fast gives you the larger context window at 1M, compared with 400K for GPT-5.2 Pro.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. Grok 4.1 Fast only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.2 Pro
85.9
Grok 4.1 Fast
71
GPT-5.2 Pro
84.8
Grok 4.1 Fast
59.5
GPT-5.2 Pro
96
Grok 4.1 Fast
87.4
GPT-5.2 Pro
95.2
Grok 4.1 Fast
88.3
GPT-5.2 Pro
81.5
Grok 4.1 Fast
69.2
GPT-5.2 Pro
95
Grok 4.1 Fast
90
GPT-5.2 Pro
93.4
Grok 4.1 Fast
84.8
GPT-5.2 Pro
98.2
Grok 4.1 Fast
92.3
GPT-5.2 Pro is ahead overall, 90 to 76. The biggest single separator in this matchup is LiveCodeBench, where the scores are 81 and 54.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 69.2. 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 59.5. 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 92.3. 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 88.3. Inside this category, BBH 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 71. Inside this category, OSWorld-Verified 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 87.4. Inside this category, OfficeQA 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 90. 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 84.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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