Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Moonshot v1 is clearly ahead on the aggregate, 47 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Moonshot v1's sharpest advantage is in mathematics, where it averages 61 against 37. The single biggest benchmark swing on the page is HumanEval, 45 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.
Moonshot v1 gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Moonshot v1 if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if instruction following is the priority.
Moonshot v1
42.2
LFM2.5-1.2B-Instruct
25.7
Moonshot v1
26.4
LFM2.5-1.2B-Instruct
7.2
Moonshot v1
52.6
LFM2.5-1.2B-Instruct
32.4
Moonshot v1
55.5
LFM2.5-1.2B-Instruct
32.1
Moonshot v1
42.3
LFM2.5-1.2B-Instruct
26
Moonshot v1
77
LFM2.5-1.2B-Instruct
80
Moonshot v1
69.8
LFM2.5-1.2B-Instruct
60.7
Moonshot v1
61
LFM2.5-1.2B-Instruct
37
Moonshot v1 is ahead overall, 47 to 30. The biggest single separator in this matchup is HumanEval, where the scores are 45 and 14.
Moonshot v1 has the edge for knowledge tasks in this comparison, averaging 42.3 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for coding in this comparison, averaging 26.4 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for math in this comparison, averaging 61 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for reasoning in this comparison, averaging 55.5 versus 32.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for agentic tasks in this comparison, averaging 42.2 versus 25.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for multimodal and grounded tasks in this comparison, averaging 52.6 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.
Moonshot v1 has the edge for multilingual tasks in this comparison, averaging 69.8 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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