Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B (Reasoning) finishes one point ahead overall, 60 to 59. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Ministral 3 14B (Reasoning)'s sharpest advantage is in multimodal & grounded, where it averages 71.5 against 62. The single biggest benchmark swing on the page is MMMU-Pro, 71 to 57. MiniMax M2.5 does hit back in multilingual, 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 (Reasoning). That is roughly Infinityx on output cost alone. Ministral 3 14B (Reasoning) is the reasoning model in the pair, while MiniMax M2.5 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.
Pick Ministral 3 14B (Reasoning) if you want the stronger benchmark profile. MiniMax M2.5 only becomes the better choice if multilingual is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Ministral 3 14B (Reasoning)
58.5
MiniMax M2.5
53.4
Ministral 3 14B (Reasoning)
35
MiniMax M2.5
38.7
Ministral 3 14B (Reasoning)
71.5
MiniMax M2.5
62
Ministral 3 14B (Reasoning)
69.2
MiniMax M2.5
69.6
Ministral 3 14B (Reasoning)
52.1
MiniMax M2.5
55.3
Ministral 3 14B (Reasoning)
81
MiniMax M2.5
85
Ministral 3 14B (Reasoning)
77.8
MiniMax M2.5
82.1
Ministral 3 14B (Reasoning)
75.2
MiniMax M2.5
76.1
Ministral 3 14B (Reasoning) is ahead overall, 60 to 59. The biggest single separator in this matchup is MMMU-Pro, where the scores are 71 and 57.
MiniMax M2.5 has the edge for knowledge tasks in this comparison, averaging 55.3 versus 52.1. 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 35. 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 75.2. 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 69.2. Inside this category, BBH is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for agentic tasks in this comparison, averaging 58.5 versus 53.4. Inside this category, Terminal-Bench 2.0 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 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 81. 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 77.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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