Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Llama 3.1 405B is clearly ahead on the aggregate, 59 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 3.1 405B's sharpest advantage is in mathematics, where it averages 74.9 against 37. The single biggest benchmark swing on the page is HumanEval, 62 to 14.
Llama 3.1 405B gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Llama 3.1 405B if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Llama 3.1 405B
53.9
LFM2.5-1.2B-Instruct
25.7
Llama 3.1 405B
40.6
LFM2.5-1.2B-Instruct
7.2
Llama 3.1 405B
62.3
LFM2.5-1.2B-Instruct
32.4
Llama 3.1 405B
68.3
LFM2.5-1.2B-Instruct
32.1
Llama 3.1 405B
53.2
LFM2.5-1.2B-Instruct
26
Llama 3.1 405B
86
LFM2.5-1.2B-Instruct
80
Llama 3.1 405B
80.1
LFM2.5-1.2B-Instruct
60.7
Llama 3.1 405B
74.9
LFM2.5-1.2B-Instruct
37
Llama 3.1 405B is ahead overall, 59 to 30. The biggest single separator in this matchup is HumanEval, where the scores are 62 and 14.
Llama 3.1 405B has the edge for knowledge tasks in this comparison, averaging 53.2 versus 26. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for coding in this comparison, averaging 40.6 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for math in this comparison, averaging 74.9 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for reasoning in this comparison, averaging 68.3 versus 32.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for agentic tasks in this comparison, averaging 53.9 versus 25.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for multimodal and grounded tasks in this comparison, averaging 62.3 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for instruction following in this comparison, averaging 86 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for multilingual tasks in this comparison, averaging 80.1 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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