Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-mini is clearly ahead on the aggregate, 71 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-mini's sharpest advantage is in coding, where it averages 55.6 against 33. The single biggest benchmark swing on the page is SWE-bench Pro, 57 to 34. Ministral 3 14B does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 14B. That is roughly Infinityx on output cost alone. o3-mini is the reasoning model in the pair, while Ministral 3 14B 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-mini gives you the larger context window at 200K, compared with 128K for Ministral 3 14B.
Pick o3-mini if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if multilingual is the priority or you want the cheaper token bill.
o3-mini
66.6
Ministral 3 14B
48.4
o3-mini
55.6
Ministral 3 14B
33
o3-mini
74.4
Ministral 3 14B
70.5
o3-mini
81.1
Ministral 3 14B
63.6
o3-mini
70.8
Ministral 3 14B
50.1
o3-mini
93.9
Ministral 3 14B
80
o3-mini
73
Ministral 3 14B
76.8
o3-mini
87.3
Ministral 3 14B
69.7
o3-mini is ahead overall, 71 to 55. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 57 and 34.
o3-mini has the edge for knowledge tasks in this comparison, averaging 70.8 versus 50.1. 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 55.6 versus 33. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for math in this comparison, averaging 87.3 versus 69.7. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o3-mini has the edge for reasoning in this comparison, averaging 81.1 versus 63.6. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o3-mini has the edge for agentic tasks in this comparison, averaging 66.6 versus 48.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o3-mini has the edge for multimodal and grounded tasks in this comparison, averaging 74.4 versus 70.5. Inside this category, OfficeQA Pro 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 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multilingual tasks in this comparison, averaging 76.8 versus 73. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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