Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B (Reasoning) is clearly ahead on the aggregate, 60 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ministral 3 14B (Reasoning)'s sharpest advantage is in multimodal & grounded, where it averages 71.5 against 32.4. The single biggest benchmark swing on the page is AIME 2023, 73 to 24.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while LFM2.5-1.2B-Instruct 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. Ministral 3 14B (Reasoning) gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Ministral 3 14B (Reasoning) if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Ministral 3 14B (Reasoning)
58.5
LFM2.5-1.2B-Instruct
25.7
Ministral 3 14B (Reasoning)
35
LFM2.5-1.2B-Instruct
7.2
Ministral 3 14B (Reasoning)
71.5
LFM2.5-1.2B-Instruct
32.4
Ministral 3 14B (Reasoning)
69.2
LFM2.5-1.2B-Instruct
32.1
Ministral 3 14B (Reasoning)
52.1
LFM2.5-1.2B-Instruct
26
Ministral 3 14B (Reasoning)
81
LFM2.5-1.2B-Instruct
80
Ministral 3 14B (Reasoning)
77.8
LFM2.5-1.2B-Instruct
60.7
Ministral 3 14B (Reasoning)
75.2
LFM2.5-1.2B-Instruct
37
Ministral 3 14B (Reasoning) is ahead overall, 60 to 30. The biggest single separator in this matchup is AIME 2023, where the scores are 73 and 24.
Ministral 3 14B (Reasoning) has the edge for knowledge tasks in this comparison, averaging 52.1 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for coding in this comparison, averaging 35 versus 7.2. Inside this category, HumanEval 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 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for reasoning in this comparison, averaging 69.2 versus 32.1. Inside this category, MuSR 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 25.7. 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 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for instruction following in this comparison, averaging 81 versus 80. 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 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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