Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
o3-mini finishes one point ahead overall, 56 to 55. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
o3-mini's sharpest advantage is in knowledge, where it averages 82.1 against 51.3. The single biggest benchmark swing on the page is SWE-bench Verified, 49.3 to 5.
o3-mini 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 200K for o3-mini.
Pick o3-mini 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.
o3-mini
82.1
Gemini 1.5 Pro
51.3
o3-mini
49.3
Gemini 1.5 Pro
27.7
o3-mini
87.3
Gemini 1.5 Pro
64.3
o3-mini
93.9
Gemini 1.5 Pro
77
o3-mini is ahead overall, 56 to 55. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 49.3 and 5.
o3-mini has the edge for knowledge tasks in this comparison, averaging 82.1 versus 51.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o3-mini has the edge for coding in this comparison, averaging 49.3 versus 27.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
o3-mini has the edge for math in this comparison, averaging 87.3 versus 64.3. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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