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 35.2. The single biggest benchmark swing on the page is HumanEval, 42 to 21.
Pick LFM2-24B-A2B if you want the stronger benchmark profile. Mistral 8x7B v0.2 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
LFM2-24B-A2B
33.4
Mistral 8x7B v0.2
27.9
LFM2-24B-A2B
18
Mistral 8x7B v0.2
13.3
LFM2-24B-A2B
41.7
Mistral 8x7B v0.2
32.3
LFM2-24B-A2B
46.6
Mistral 8x7B v0.2
35.2
LFM2-24B-A2B
35.6
Mistral 8x7B v0.2
28.9
LFM2-24B-A2B
68
Mistral 8x7B v0.2
67
LFM2-24B-A2B
61.4
Mistral 8x7B v0.2
58.8
LFM2-24B-A2B
50.4
Mistral 8x7B v0.2
42
LFM2-24B-A2B is ahead overall, 38 to 32. The biggest single separator in this matchup is HumanEval, where the scores are 42 and 21.
LFM2-24B-A2B has the edge for knowledge tasks in this comparison, averaging 35.6 versus 28.9. 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 13.3. 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 42. 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 35.2. 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 27.9. Inside this category, Terminal-Bench 2.0 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 32.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for instruction following in this comparison, averaging 68 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for multilingual tasks in this comparison, averaging 61.4 versus 58.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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