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 30. 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 32.1. The single biggest benchmark swing on the page is HumanEval, 50 to 14. LFM2.5-1.2B-Instruct does hit back in instruction following, 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 LFM2.5-1.2B-Instruct.
Pick Llama 3 70B if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if instruction following is the priority.
Llama 3 70B
41.2
LFM2.5-1.2B-Instruct
25.7
Llama 3 70B
15.8
LFM2.5-1.2B-Instruct
7.2
Llama 3 70B
52.3
LFM2.5-1.2B-Instruct
32.4
Llama 3 70B
59.6
LFM2.5-1.2B-Instruct
32.1
Llama 3 70B
42.2
LFM2.5-1.2B-Instruct
26
Llama 3 70B
77
LFM2.5-1.2B-Instruct
80
Llama 3 70B
67.5
LFM2.5-1.2B-Instruct
60.7
Llama 3 70B
63.3
LFM2.5-1.2B-Instruct
37
Llama 3 70B is ahead overall, 45 to 30. The biggest single separator in this matchup is HumanEval, where the scores are 50 and 14.
Llama 3 70B has the edge for knowledge tasks in this comparison, averaging 42.2 versus 26. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for coding in this comparison, averaging 15.8 versus 7.2. Inside this category, HumanEval 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 37. Inside this category, AIME 2023 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 32.1. Inside this category, SimpleQA 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 25.7. 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 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Instruct has the edge for instruction following in this comparison, averaging 80 versus 77. 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 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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