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 66. 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 43.1. The single biggest benchmark swing on the page is LiveCodeBench, 81 to 37.
GPT-5.2 Pro is the reasoning model in the pair, while Grok 4 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. GPT-5.2 Pro gives you the larger context window at 400K, compared with 128K for Grok 4.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. Grok 4 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.2 Pro
85.9
Grok 4
58.1
GPT-5.2 Pro
84.8
Grok 4
43.1
GPT-5.2 Pro
96
Grok 4
78.2
GPT-5.2 Pro
95.2
Grok 4
77.4
GPT-5.2 Pro
81.5
Grok 4
63.8
GPT-5.2 Pro
95
Grok 4
82
GPT-5.2 Pro
93.4
Grok 4
80.8
GPT-5.2 Pro
98.2
Grok 4
85.1
GPT-5.2 Pro is ahead overall, 90 to 66. The biggest single separator in this matchup is LiveCodeBench, where the scores are 81 and 37.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 63.8. 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 43.1. 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 85.1. 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 77.4. 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 58.1. Inside this category, Terminal-Bench 2.0 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 78.2. 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 82. 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 80.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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