Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
LFM2-24B-A2B is clearly ahead on the aggregate, 38 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
LFM2-24B-A2B's sharpest advantage is in reasoning, where it averages 46.6 against 36.1. The single biggest benchmark swing on the page is HumanEval, 42 to 23. Ministral 3 8B does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
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 8B. That is roughly Infinityx on output cost alone. Ministral 3 8B gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick LFM2-24B-A2B if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if instruction following is the priority or you want the cheaper token bill.
LFM2-24B-A2B
33.4
Ministral 3 8B
28.9
LFM2-24B-A2B
18
Ministral 3 8B
14.2
LFM2-24B-A2B
41.7
Ministral 3 8B
32.4
LFM2-24B-A2B
46.6
Ministral 3 8B
36.1
LFM2-24B-A2B
35.6
Ministral 3 8B
28
LFM2-24B-A2B
68
Ministral 3 8B
69
LFM2-24B-A2B
61.4
Ministral 3 8B
61.7
LFM2-24B-A2B
50.4
Ministral 3 8B
43.3
LFM2-24B-A2B is ahead overall, 38 to 32. The biggest single separator in this matchup is HumanEval, where the scores are 42 and 23.
LFM2-24B-A2B has the edge for knowledge tasks in this comparison, averaging 35.6 versus 28. Inside this category, MMLU is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for coding in this comparison, averaging 18 versus 14.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for math in this comparison, averaging 50.4 versus 43.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for reasoning in this comparison, averaging 46.6 versus 36.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for agentic tasks in this comparison, averaging 33.4 versus 28.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for multimodal and grounded tasks in this comparison, averaging 41.7 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 8B has the edge for instruction following in this comparison, averaging 69 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 8B has the edge for multilingual tasks in this comparison, averaging 61.7 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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