Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Z-1 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.
Z-1's sharpest advantage is in mathematics, where it averages 60.9 against 37. The single biggest benchmark swing on the page is HumanEval, 44 to 14.
Z-1 gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Z-1 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.
Z-1
42.2
LFM2.5-1.2B-Instruct
25.7
Z-1
26.7
LFM2.5-1.2B-Instruct
7.2
Z-1
50.5
LFM2.5-1.2B-Instruct
32.4
Z-1
54.8
LFM2.5-1.2B-Instruct
32.1
Z-1
42.7
LFM2.5-1.2B-Instruct
26
Z-1
80
LFM2.5-1.2B-Instruct
80
Z-1
72.7
LFM2.5-1.2B-Instruct
60.7
Z-1
60.9
LFM2.5-1.2B-Instruct
37
Z-1 is ahead overall, 47 to 30. The biggest single separator in this matchup is HumanEval, where the scores are 44 and 14.
Z-1 has the edge for knowledge tasks in this comparison, averaging 42.7 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Z-1 has the edge for coding in this comparison, averaging 26.7 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Z-1 has the edge for math in this comparison, averaging 60.9 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Z-1 has the edge for reasoning in this comparison, averaging 54.8 versus 32.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Z-1 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.
Z-1 has the edge for multimodal and grounded tasks in this comparison, averaging 50.5 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Z-1 and LFM2.5-1.2B-Instruct are effectively tied for instruction following here, both landing at 80 on average.
Z-1 has the edge for multilingual tasks in this comparison, averaging 72.7 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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