Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o1-preview is clearly ahead on the aggregate, 77 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-preview's sharpest advantage is in coding, where it averages 64.6 against 33. The single biggest benchmark swing on the page is SWE-bench Pro, 69 to 34.
o1-preview 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. o1-preview gives you the larger context window at 200K, compared with 128K for Ministral 3 14B.
Pick o1-preview if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
o1-preview
75.4
Ministral 3 14B
48.4
o1-preview
64.6
Ministral 3 14B
33
o1-preview
75.6
Ministral 3 14B
70.5
o1-preview
86.8
Ministral 3 14B
63.6
o1-preview
71.3
Ministral 3 14B
50.1
o1-preview
88
Ministral 3 14B
80
o1-preview
87.4
Ministral 3 14B
76.8
o1-preview
93.5
Ministral 3 14B
69.7
o1-preview is ahead overall, 77 to 55. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 69 and 34.
o1-preview has the edge for knowledge tasks in this comparison, averaging 71.3 versus 50.1. Inside this category, HLE is the benchmark that creates the most daylight between them.
o1-preview has the edge for coding in this comparison, averaging 64.6 versus 33. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o1-preview has the edge for math in this comparison, averaging 93.5 versus 69.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
o1-preview has the edge for reasoning in this comparison, averaging 86.8 versus 63.6. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o1-preview has the edge for agentic tasks in this comparison, averaging 75.4 versus 48.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o1-preview has the edge for multimodal and grounded tasks in this comparison, averaging 75.6 versus 70.5. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
o1-preview has the edge for instruction following in this comparison, averaging 88 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o1-preview has the edge for multilingual tasks in this comparison, averaging 87.4 versus 76.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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