Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Pro is clearly ahead on the aggregate, 90 to 67. 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 41. The single biggest benchmark swing on the page is SWE-bench Pro, 89 to 44.
GPT-5.2 Pro is also the more expensive model on tokens at $25.00 input / $150.00 output per 1M tokens, versus $1.25 input / $5.00 output per 1M tokens for Gemini 2.5 Pro. That is roughly 30.0x on output cost alone. GPT-5.2 Pro is the reasoning model in the pair, while Gemini 2.5 Pro 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. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 400K for GPT-5.2 Pro.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
GPT-5.2 Pro
85.9
Gemini 2.5 Pro
61.7
GPT-5.2 Pro
84.8
Gemini 2.5 Pro
41
GPT-5.2 Pro
96
Gemini 2.5 Pro
85.1
GPT-5.2 Pro
95.2
Gemini 2.5 Pro
80.7
GPT-5.2 Pro
81.5
Gemini 2.5 Pro
58.4
GPT-5.2 Pro
95
Gemini 2.5 Pro
83
GPT-5.2 Pro
93.4
Gemini 2.5 Pro
82.7
GPT-5.2 Pro
98.2
Gemini 2.5 Pro
83.5
GPT-5.2 Pro is ahead overall, 90 to 67. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 89 and 44.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 58.4. Inside this category, HLE 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 41. 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 83.5. Inside this category, HMMT Feb 2023 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 80.7. Inside this category, BBH 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 61.7. Inside this category, Terminal-Bench 2.0 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 85.1. Inside this category, OfficeQA 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 83. 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 82.7. 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.