Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M2.5 is clearly ahead on the aggregate, 59 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M2.5's sharpest advantage is in mathematics, where it averages 76.1 against 69.7. The single biggest benchmark swing on the page is MMMU-Pro, 57 to 70. Ministral 3 14B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
MiniMax M2.5 is also the more expensive model on tokens at $0.30 input / $1.20 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.
Pick MiniMax M2.5 if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
MiniMax M2.5
53.4
Ministral 3 14B
48.4
MiniMax M2.5
38.7
Ministral 3 14B
33
MiniMax M2.5
62
Ministral 3 14B
70.5
MiniMax M2.5
69.6
Ministral 3 14B
63.6
MiniMax M2.5
55.3
Ministral 3 14B
50.1
MiniMax M2.5
85
Ministral 3 14B
80
MiniMax M2.5
82.1
Ministral 3 14B
76.8
MiniMax M2.5
76.1
Ministral 3 14B
69.7
MiniMax M2.5 is ahead overall, 59 to 55. The biggest single separator in this matchup is MMMU-Pro, where the scores are 57 and 70.
MiniMax M2.5 has the edge for knowledge tasks in this comparison, averaging 55.3 versus 50.1. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for coding in this comparison, averaging 38.7 versus 33. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for math in this comparison, averaging 76.1 versus 69.7. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for reasoning in this comparison, averaging 69.6 versus 63.6. Inside this category, BBH is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for agentic tasks in this comparison, averaging 53.4 versus 48.4. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multimodal and grounded tasks in this comparison, averaging 70.5 versus 62. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for instruction following in this comparison, averaging 85 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for multilingual tasks in this comparison, averaging 82.1 versus 76.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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