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 34. 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 mathematics, where it averages 50.4 against 42.7. The single biggest benchmark swing on the page is HumanEval, 42 to 24.
Kimi K2 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. Kimi K2 only becomes the better choice if you need the larger 128K context window.
LFM2-24B-A2B
33.4
Kimi K2
29.3
LFM2-24B-A2B
18
Kimi K2
12.8
LFM2-24B-A2B
41.7
Kimi K2
39.5
LFM2-24B-A2B
46.6
Kimi K2
40.9
LFM2-24B-A2B
35.6
Kimi K2
29.3
LFM2-24B-A2B
68
Kimi K2
67
LFM2-24B-A2B
61.4
Kimi K2
59.7
LFM2-24B-A2B
50.4
Kimi K2
42.7
LFM2-24B-A2B is ahead overall, 38 to 34. The biggest single separator in this matchup is HumanEval, where the scores are 42 and 24.
LFM2-24B-A2B has the edge for knowledge tasks in this comparison, averaging 35.6 versus 29.3. 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 12.8. 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 42.7. 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 40.9. 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 29.3. 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 39.5. 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 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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