Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o4-mini (high) has the cleaner overall profile here, landing at 63 versus 60. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
o4-mini (high)'s sharpest advantage is in knowledge, where it averages 61.2 against 52.1. The single biggest benchmark swing on the page is HumanEval, 74 to 62. Ministral 3 14B (Reasoning) does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while o4-mini (high) 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. o4-mini (high) gives you the larger context window at 200K, compared with 128K for Ministral 3 14B (Reasoning).
Pick o4-mini (high) if you want the stronger benchmark profile. Ministral 3 14B (Reasoning) only becomes the better choice if multimodal & grounded is the priority or you want the stronger reasoning-first profile.
o4-mini (high)
58.5
Ministral 3 14B (Reasoning)
58.5
o4-mini (high)
38.7
Ministral 3 14B (Reasoning)
35
o4-mini (high)
68.3
Ministral 3 14B (Reasoning)
71.5
o4-mini (high)
77.4
Ministral 3 14B (Reasoning)
69.2
o4-mini (high)
61.2
Ministral 3 14B (Reasoning)
52.1
o4-mini (high)
83
Ministral 3 14B (Reasoning)
81
o4-mini (high)
81.7
Ministral 3 14B (Reasoning)
77.8
o4-mini (high)
82.9
Ministral 3 14B (Reasoning)
75.2
o4-mini (high) is ahead overall, 63 to 60. The biggest single separator in this matchup is HumanEval, where the scores are 74 and 62.
o4-mini (high) has the edge for knowledge tasks in this comparison, averaging 61.2 versus 52.1. 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 35. 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 75.2. 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 69.2. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
o4-mini (high) and Ministral 3 14B (Reasoning) are effectively tied for agentic tasks here, both landing at 58.5 on average.
Ministral 3 14B (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 71.5 versus 68.3. 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 81. 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 77.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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