Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-5.4 Pro is clearly ahead on the aggregate, 94 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in coding, where it averages 89 against 27.7. The single biggest benchmark swing on the page is SWE-bench Verified, 86 to 5.
GPT-5.4 Pro is the reasoning model in the pair, while Gemini 1.5 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 1.5 Pro gives you the larger context window at 2M, compared with 1.05M for GPT-5.4 Pro.
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Gemini 1.5 Pro only becomes the better choice if you need the larger 2M context window or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.4 Pro
88.8
Gemini 1.5 Pro
51.3
GPT-5.4 Pro
89
Gemini 1.5 Pro
27.7
GPT-5.4 Pro
98
Gemini 1.5 Pro
64.3
GPT-5.4 Pro
96.7
Gemini 1.5 Pro
65.3
GPT-5.4 Pro
97
Gemini 1.5 Pro
77
GPT-5.4 Pro
97
Gemini 1.5 Pro
76
GPT-5.4 Pro is ahead overall, 94 to 55. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 86 and 5.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 88.8 versus 51.3. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for coding in this comparison, averaging 89 versus 27.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for math in this comparison, averaging 98 versus 64.3. Inside this category, HMMT Feb 2023 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 96.7 versus 65.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for instruction following in this comparison, averaging 97 versus 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multilingual tasks in this comparison, averaging 97 versus 76. 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.