Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o4-mini (high) is clearly ahead on the aggregate, 63 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o4-mini (high)'s sharpest advantage is in reasoning, where it averages 77.4 against 30.1. The single biggest benchmark swing on the page is AIME 2023, 83 to 23.
o4-mini (high) gives you the larger context window at 200K, compared with 128K for Ministral 3 3B.
Pick o4-mini (high) if you want the stronger benchmark profile. Ministral 3 3B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
o4-mini (high)
58.5
Ministral 3 3B
22.9
o4-mini (high)
38.7
Ministral 3 3B
6.2
o4-mini (high)
68.3
Ministral 3 3B
30.4
o4-mini (high)
77.4
Ministral 3 3B
30.1
o4-mini (high)
61.2
Ministral 3 3B
24.5
o4-mini (high)
83
Ministral 3 3B
67
o4-mini (high)
81.7
Ministral 3 3B
59.7
o4-mini (high)
82.9
Ministral 3 3B
36
o4-mini (high) is ahead overall, 63 to 27. The biggest single separator in this matchup is AIME 2023, where the scores are 83 and 23.
o4-mini (high) has the edge for knowledge tasks in this comparison, averaging 61.2 versus 24.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for coding in this comparison, averaging 38.7 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for math in this comparison, averaging 82.9 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for reasoning in this comparison, averaging 77.4 versus 30.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for agentic tasks in this comparison, averaging 58.5 versus 22.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for multimodal and grounded tasks in this comparison, averaging 68.3 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for instruction following in this comparison, averaging 83 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for multilingual tasks in this comparison, averaging 81.7 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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