Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-72B is clearly ahead on the aggregate, 64 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen2.5-72B's sharpest advantage is in coding, where it averages 43.8 against 35. The single biggest benchmark swing on the page is HumanEval, 75 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 Qwen2.5-72B 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 Qwen2.5-72B 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.
Qwen2.5-72B
57.7
Ministral 3 14B (Reasoning)
58.5
Qwen2.5-72B
43.8
Ministral 3 14B (Reasoning)
35
Qwen2.5-72B
66.7
Ministral 3 14B (Reasoning)
71.5
Qwen2.5-72B
75.8
Ministral 3 14B (Reasoning)
69.2
Qwen2.5-72B
59.8
Ministral 3 14B (Reasoning)
52.1
Qwen2.5-72B
85
Ministral 3 14B (Reasoning)
81
Qwen2.5-72B
80.8
Ministral 3 14B (Reasoning)
77.8
Qwen2.5-72B
83.5
Ministral 3 14B (Reasoning)
75.2
Qwen2.5-72B is ahead overall, 64 to 60. The biggest single separator in this matchup is HumanEval, where the scores are 75 and 62.
Qwen2.5-72B has the edge for knowledge tasks in this comparison, averaging 59.8 versus 52.1. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for coding in this comparison, averaging 43.8 versus 35. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for math in this comparison, averaging 83.5 versus 75.2. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for reasoning in this comparison, averaging 75.8 versus 69.2. Inside this category, SimpleQA 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 57.7. 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 66.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen2.5-72B 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.
Qwen2.5-72B has the edge for multilingual tasks in this comparison, averaging 80.8 versus 77.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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