Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Llama 4 Behemoth has the cleaner overall profile here, landing at 40 versus 38. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Llama 4 Behemoth's sharpest advantage is in multimodal & grounded, where it averages 55.1 against 41.7. The single biggest benchmark swing on the page is MMMU-Pro, 60 to 39. LFM2-24B-A2B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Pick Llama 4 Behemoth if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if coding is the priority.
Llama 4 Behemoth
34.6
LFM2-24B-A2B
33.4
Llama 4 Behemoth
14.1
LFM2-24B-A2B
18
Llama 4 Behemoth
55.1
LFM2-24B-A2B
41.7
Llama 4 Behemoth
47.1
LFM2-24B-A2B
46.6
Llama 4 Behemoth
36.7
LFM2-24B-A2B
35.6
Llama 4 Behemoth
68
LFM2-24B-A2B
68
Llama 4 Behemoth
62.8
LFM2-24B-A2B
61.4
Llama 4 Behemoth
52.9
LFM2-24B-A2B
50.4
Llama 4 Behemoth is ahead overall, 40 to 38. The biggest single separator in this matchup is MMMU-Pro, where the scores are 60 and 39.
Llama 4 Behemoth has the edge for knowledge tasks in this comparison, averaging 36.7 versus 35.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for coding in this comparison, averaging 18 versus 14.1. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Llama 4 Behemoth has the edge for math in this comparison, averaging 52.9 versus 50.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Llama 4 Behemoth has the edge for reasoning in this comparison, averaging 47.1 versus 46.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Llama 4 Behemoth has the edge for agentic tasks in this comparison, averaging 34.6 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Llama 4 Behemoth has the edge for multimodal and grounded tasks in this comparison, averaging 55.1 versus 41.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 4 Behemoth and LFM2-24B-A2B are effectively tied for instruction following here, both landing at 68 on average.
Llama 4 Behemoth has the edge for multilingual tasks in this comparison, averaging 62.8 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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