Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Llama 3 70B is clearly ahead on the aggregate, 45 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 3 70B's sharpest advantage is in reasoning, where it averages 59.6 against 46.6. The single biggest benchmark swing on the page is MRCRv2, 61 to 45. LFM2-24B-A2B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Llama 3 70B gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick Llama 3 70B if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if coding is the priority.
Llama 3 70B
41.2
LFM2-24B-A2B
33.4
Llama 3 70B
15.8
LFM2-24B-A2B
18
Llama 3 70B
52.3
LFM2-24B-A2B
41.7
Llama 3 70B
59.6
LFM2-24B-A2B
46.6
Llama 3 70B
42.2
LFM2-24B-A2B
35.6
Llama 3 70B
77
LFM2-24B-A2B
68
Llama 3 70B
67.5
LFM2-24B-A2B
61.4
Llama 3 70B
63.3
LFM2-24B-A2B
50.4
Llama 3 70B is ahead overall, 45 to 38. The biggest single separator in this matchup is MRCRv2, where the scores are 61 and 45.
Llama 3 70B has the edge for knowledge tasks in this comparison, averaging 42.2 versus 35.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for coding in this comparison, averaging 18 versus 15.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for math in this comparison, averaging 63.3 versus 50.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for reasoning in this comparison, averaging 59.6 versus 46.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for agentic tasks in this comparison, averaging 41.2 versus 33.4. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for multimodal and grounded tasks in this comparison, averaging 52.3 versus 41.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for instruction following in this comparison, averaging 77 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for multilingual tasks in this comparison, averaging 67.5 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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