Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 2.5 Pro
67
GPT-5.2
83
Pick GPT-5.2 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.
Coding
+0.9 difference
Knowledge
+51.6 difference
Gemini 2.5 Pro
GPT-5.2
$1.25 / $5
$2 / $8
117 t/s
73 t/s
21.19s
130.34s
1M
400K
Pick GPT-5.2 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 is clearly ahead on the provisional aggregate, 83 to 67. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 40.8. The single biggest benchmark swing on the page is SWE-bench Verified, 63.8% to 80%.
GPT-5.2 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $1.25 input / $5.00 output per 1M tokens for Gemini 2.5 Pro. GPT-5.2 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.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 83 to 67. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 63.8% and 80%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 40.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for coding in this comparison, averaging 64.7 versus 63.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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