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 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 has the cleaner overall profile here, landing at 90 versus 88. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.2 Pro's sharpest advantage is in coding, where it averages 84.8 against 81.8. The single biggest benchmark swing on the page is BrowseComp, 88 to 84.
GPT-5.2 Pro is also the more expensive model on tokens at $25.00 input / $150.00 output per 1M tokens, versus $2.00 input / $8.00 output per 1M tokens for GPT-5.2. That is roughly 18.8x on output cost alone.
GPT-5.2 Pro makes more sense if coding is the priority, while GPT-5.2 is the cleaner fit if you want the cheaper token bill.
GPT-5.2 Pro
85.9
GPT-5.2
85.4
GPT-5.2 Pro
84.8
GPT-5.2
81.8
GPT-5.2 Pro
96
GPT-5.2
95
GPT-5.2 Pro
95.2
GPT-5.2
93.2
GPT-5.2 Pro
81.5
GPT-5.2
79.5
GPT-5.2 Pro
95
GPT-5.2
94
GPT-5.2 Pro
93.4
GPT-5.2
92.4
GPT-5.2 Pro
98.2
GPT-5.2
97.2
GPT-5.2 Pro and GPT-5.2 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 88.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 79.5. 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 81.8. 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 93.2. Inside this category, SimpleQA 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 85.4. Inside this category, BrowseComp 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 95. Inside this category, MMMU-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 94. 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 92.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.