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 54. 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 32.8. The single biggest benchmark swing on the page is MMMU-Pro, 94 to 40.
GPT-5.2 Instant is the reasoning model in the pair, while Grok Code Fast 1 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 Code Fast 1 gives you the larger context window at 256K, compared with 128K for GPT-5.2 Instant.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. Grok Code Fast 1 only becomes the better choice if you need the larger 256K context window or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.2 Instant
79.6
Grok Code Fast 1
55.7
GPT-5.2 Instant
75.5
Grok Code Fast 1
32.8
GPT-5.2 Instant
93.1
Grok Code Fast 1
50.4
GPT-5.2 Instant
90.9
Grok Code Fast 1
63.7
GPT-5.2 Instant
79.8
Grok Code Fast 1
48
GPT-5.2 Instant
95
Grok Code Fast 1
79
GPT-5.2 Instant
94.4
Grok Code Fast 1
73.7
GPT-5.2 Instant
97.2
Grok Code Fast 1
67.5
GPT-5.2 Instant is ahead overall, 85 to 54. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94 and 40.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 48. 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 32.8. 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 67.5. Inside this category, AIME 2023 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 63.7. Inside this category, SimpleQA 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 55.7. Inside this category, BrowseComp 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 50.4. Inside this category, MMMU-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 79. 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 73.7. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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