Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Instant is clearly ahead on the aggregate, 85 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 Instant's sharpest advantage is in coding, where it averages 75.5 against 59.5. The single biggest benchmark swing on the page is HLE, 43 to 20.
GPT-5.2 Instant 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 128K for GPT-5.2 Instant.
Pick GPT-5.2 Instant 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 Instant
79.6
Grok 4.1 Fast
71
GPT-5.2 Instant
75.5
Grok 4.1 Fast
59.5
GPT-5.2 Instant
93.1
Grok 4.1 Fast
87.4
GPT-5.2 Instant
90.9
Grok 4.1 Fast
88.3
GPT-5.2 Instant
79.8
Grok 4.1 Fast
69.2
GPT-5.2 Instant
95
Grok 4.1 Fast
90
GPT-5.2 Instant
94.4
Grok 4.1 Fast
84.8
GPT-5.2 Instant
97.2
Grok 4.1 Fast
92.3
GPT-5.2 Instant is ahead overall, 85 to 76. The biggest single separator in this matchup is HLE, where the scores are 43 and 20.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 69.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for coding in this comparison, averaging 75.5 versus 59.5. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for math in this comparison, averaging 97.2 versus 92.3. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for reasoning in this comparison, averaging 90.9 versus 88.3. Inside this category, BBH is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for agentic tasks in this comparison, averaging 79.6 versus 71. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for multimodal and grounded tasks in this comparison, averaging 93.1 versus 87.4. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Instant 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 Instant has the edge for multilingual tasks in this comparison, averaging 94.4 versus 84.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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