Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o1 is clearly ahead on the aggregate, 68 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1's sharpest advantage is in knowledge, where it averages 69.6 against 52.1. The single biggest benchmark swing on the page is MMLU, 91.8 to 71. Ministral 3 14B (Reasoning) does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 14B (Reasoning). That is roughly Infinityx on output cost alone. o1 gives you the larger context window at 200K, compared with 128K for Ministral 3 14B (Reasoning).
Pick o1 if you want the stronger benchmark profile. Ministral 3 14B (Reasoning) only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
o1
65.4
Ministral 3 14B (Reasoning)
58.5
o1
48.4
Ministral 3 14B (Reasoning)
35
o1
70.7
Ministral 3 14B (Reasoning)
71.5
o1
78.1
Ministral 3 14B (Reasoning)
69.2
o1
69.6
Ministral 3 14B (Reasoning)
52.1
o1
92.2
Ministral 3 14B (Reasoning)
81
o1
77
Ministral 3 14B (Reasoning)
77.8
o1
74.3
Ministral 3 14B (Reasoning)
75.2
o1 is ahead overall, 68 to 60. The biggest single separator in this matchup is MMLU, where the scores are 91.8 and 71.
o1 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 52.1. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o1 has the edge for coding in this comparison, averaging 48.4 versus 35. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for math in this comparison, averaging 75.2 versus 74.3. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o1 has the edge for reasoning in this comparison, averaging 78.1 versus 69.2. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o1 has the edge for agentic tasks in this comparison, averaging 65.4 versus 58.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 71.5 versus 70.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o1 has the edge for instruction following in this comparison, averaging 92.2 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multilingual tasks in this comparison, averaging 77.8 versus 77. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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