Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B is clearly ahead on the aggregate, 55 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ministral 3 14B's sharpest advantage is in multimodal & grounded, where it averages 70.5 against 41.7. The single biggest benchmark swing on the page is MMMU-Pro, 70 to 39.
LFM2-24B-A2B is also the more expensive model on tokens at $0.03 input / $0.12 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. Ministral 3 14B gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick Ministral 3 14B if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Ministral 3 14B
48.4
LFM2-24B-A2B
33.4
Ministral 3 14B
33
LFM2-24B-A2B
18
Ministral 3 14B
70.5
LFM2-24B-A2B
41.7
Ministral 3 14B
63.6
LFM2-24B-A2B
46.6
Ministral 3 14B
50.1
LFM2-24B-A2B
35.6
Ministral 3 14B
80
LFM2-24B-A2B
68
Ministral 3 14B
76.8
LFM2-24B-A2B
61.4
Ministral 3 14B
69.7
LFM2-24B-A2B
50.4
Ministral 3 14B is ahead overall, 55 to 38. The biggest single separator in this matchup is MMMU-Pro, where the scores are 70 and 39.
Ministral 3 14B has the edge for knowledge tasks in this comparison, averaging 50.1 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for coding in this comparison, averaging 33 versus 18. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for math in this comparison, averaging 69.7 versus 50.4. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for reasoning in this comparison, averaging 63.6 versus 46.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for agentic tasks in this comparison, averaging 48.4 versus 33.4. Inside this category, Terminal-Bench 2.0 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 41.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for instruction following in this comparison, averaging 80 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multilingual tasks in this comparison, averaging 76.8 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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