Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 3 Flash is clearly ahead on the aggregate, 65 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.50 input / $3.00 output per 1M tokens for Gemini 3 Flash. o3-mini is the reasoning model in the pair, while Gemini 3 Flash 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 3 Flash gives you the larger context window at 1M, compared with 200K for o3-mini.
Pick Gemini 3 Flash if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Gemini 3 Flash
58.2
o3-mini
82.1
Gemini 3 Flash
47.3
o3-mini
49.3
Gemini 3 Flash
70.4
o3-mini
87.3
Gemini 3 Flash
85
o3-mini
93.9
Gemini 3 Flash is ahead overall, 65 to 56. The biggest single separator in this matchup is MMLU, where the scores are 70 and 86.9.
o3-mini has the edge for knowledge tasks in this comparison, averaging 82.1 versus 58.2. 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 47.3. 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 70.4. 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 85. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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