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 81. 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 60.3. The single biggest benchmark swing on the page is SWE-bench Verified, 75 to 58. Gemini 3 Pro Deep Think does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Gemini 3 Pro Deep Think gives you the larger context window at 2M, compared with 128K for GPT-5.2 Instant.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. Gemini 3 Pro Deep Think only becomes the better choice if reasoning is the priority or you need the larger 2M context window.
GPT-5.2 Instant
79.6
Gemini 3 Pro Deep Think
78.1
GPT-5.2 Instant
75.5
Gemini 3 Pro Deep Think
60.3
GPT-5.2 Instant
93.1
Gemini 3 Pro Deep Think
95
GPT-5.2 Instant
90.9
Gemini 3 Pro Deep Think
94.5
GPT-5.2 Instant
79.8
Gemini 3 Pro Deep Think
74.7
GPT-5.2 Instant
95
Gemini 3 Pro Deep Think
89
GPT-5.2 Instant
94.4
Gemini 3 Pro Deep Think
87.4
GPT-5.2 Instant
97.2
Gemini 3 Pro Deep Think
94.5
GPT-5.2 Instant is ahead overall, 85 to 81. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 75 and 58.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 74.7. 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 60.3. Inside this category, SWE-bench Verified 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 94.5. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for reasoning in this comparison, averaging 94.5 versus 90.9. Inside this category, MRCRv2 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 78.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for multimodal and grounded tasks in this comparison, averaging 95 versus 93.1. 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 89. 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 87.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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