Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Sibling matchup inside the GPT-5.2 family.
GPT-5.2 Pro and GPT-5.2 Instant sit in the same GPT-5.2 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
GPT-5.2 Pro is clearly ahead on the aggregate, 90 to 85. 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 75.5. The single biggest benchmark swing on the page is SWE-bench Pro, 89 to 77. GPT-5.2 Instant does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 Pro is also the more expensive model on tokens at $25.00 input / $150.00 output per 1M tokens, versus $1.50 input / $6.00 output per 1M tokens for GPT-5.2 Instant. That is roughly 25.0x on output cost alone. GPT-5.2 Pro gives you the larger context window at 400K, compared with 128K for GPT-5.2 Instant.
GPT-5.2 Pro makes more sense if coding is the priority or you need the larger 400K context window, while GPT-5.2 Instant is the cleaner fit if multilingual is the priority or you want the cheaper token bill.
GPT-5.2 Pro
85.9
GPT-5.2 Instant
79.6
GPT-5.2 Pro
84.8
GPT-5.2 Instant
75.5
GPT-5.2 Pro
96
GPT-5.2 Instant
93.1
GPT-5.2 Pro
95.2
GPT-5.2 Instant
90.9
GPT-5.2 Pro
81.5
GPT-5.2 Instant
79.8
GPT-5.2 Pro
95
GPT-5.2 Instant
95
GPT-5.2 Pro
93.4
GPT-5.2 Instant
94.4
GPT-5.2 Pro
98.2
GPT-5.2 Instant
97.2
GPT-5.2 Pro and GPT-5.2 Instant are sibling variants in the GPT-5.2 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. GPT-5.2 Pro is ahead overall 90 to 85.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 79.8. Inside this category, GPQA 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 75.5. Inside this category, SWE-bench Pro 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 97.2. Inside this category, AIME 2025 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 90.9. 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 79.6. 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 93.1. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Pro and GPT-5.2 Instant are effectively tied for instruction following here, both landing at 95 on average.
GPT-5.2 Instant has the edge for multilingual tasks in this comparison, averaging 94.4 versus 93.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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