Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-pro is clearly ahead on the aggregate, 71 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-pro's sharpest advantage is in reasoning, where it averages 83.6 against 30.1. The single biggest benchmark swing on the page is AIME 2023, 90 to 23.
o3-pro is the reasoning model in the pair, while Ministral 3 3B 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. o3-pro gives you the larger context window at 200K, compared with 128K for Ministral 3 3B.
Pick o3-pro if you want the stronger benchmark profile. Ministral 3 3B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
o3-pro
70.4
Ministral 3 3B
22.9
o3-pro
49.2
Ministral 3 3B
6.2
o3-pro
74.1
Ministral 3 3B
30.4
o3-pro
83.6
Ministral 3 3B
30.1
o3-pro
67.1
Ministral 3 3B
24.5
o3-pro
82
Ministral 3 3B
67
o3-pro
81.1
Ministral 3 3B
59.7
o3-pro
89
Ministral 3 3B
36
o3-pro is ahead overall, 71 to 27. The biggest single separator in this matchup is AIME 2023, where the scores are 90 and 23.
o3-pro has the edge for knowledge tasks in this comparison, averaging 67.1 versus 24.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o3-pro has the edge for coding in this comparison, averaging 49.2 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
o3-pro has the edge for math in this comparison, averaging 89 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
o3-pro has the edge for reasoning in this comparison, averaging 83.6 versus 30.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
o3-pro has the edge for agentic tasks in this comparison, averaging 70.4 versus 22.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o3-pro has the edge for multimodal and grounded tasks in this comparison, averaging 74.1 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o3-pro has the edge for instruction following in this comparison, averaging 82 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o3-pro has the edge for multilingual tasks in this comparison, averaging 81.1 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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