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 22.
Pick LFM2-24B-A2B if you want the stronger benchmark profile. Mistral 7B v0.3 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
LFM2-24B-A2B
33.4
Mistral 7B v0.3
26.4
LFM2-24B-A2B
18
Mistral 7B v0.3
13.2
LFM2-24B-A2B
41.7
Mistral 7B v0.3
32.4
LFM2-24B-A2B
46.6
Mistral 7B v0.3
36.1
LFM2-24B-A2B
35.6
Mistral 7B v0.3
30
LFM2-24B-A2B
68
Mistral 7B v0.3
68
LFM2-24B-A2B
61.4
Mistral 7B v0.3
60.7
LFM2-24B-A2B
50.4
Mistral 7B v0.3
43
LFM2-24B-A2B is ahead overall, 38 to 32. The biggest single separator in this matchup is HumanEval, where the scores are 42 and 22.
LFM2-24B-A2B has the edge for knowledge tasks in this comparison, averaging 35.6 versus 30. 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 13.2. 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. 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 26.4. 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.
LFM2-24B-A2B and Mistral 7B v0.3 are effectively tied for instruction following here, both landing at 68 on average.
LFM2-24B-A2B has the edge for multilingual tasks in this comparison, averaging 61.4 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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