Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Z-1 is clearly ahead on the aggregate, 47 to 38. 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 instruction following, where it averages 80 against 68. The single biggest benchmark swing on the page is MATH-500, 73 to 57.
Z-1 gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick Z-1 if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Z-1
42.2
LFM2-24B-A2B
33.4
Z-1
26.7
LFM2-24B-A2B
18
Z-1
50.5
LFM2-24B-A2B
41.7
Z-1
54.8
LFM2-24B-A2B
46.6
Z-1
42.7
LFM2-24B-A2B
35.6
Z-1
80
LFM2-24B-A2B
68
Z-1
72.7
LFM2-24B-A2B
61.4
Z-1
60.9
LFM2-24B-A2B
50.4
Z-1 is ahead overall, 47 to 38. The biggest single separator in this matchup is MATH-500, where the scores are 73 and 57.
Z-1 has the edge for knowledge tasks in this comparison, averaging 42.7 versus 35.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Z-1 has the edge for coding in this comparison, averaging 26.7 versus 18. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Z-1 has the edge for math in this comparison, averaging 60.9 versus 50.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Z-1 has the edge for reasoning in this comparison, averaging 54.8 versus 46.6. Inside this category, MRCRv2 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 33.4. 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 41.7. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Z-1 has the edge for instruction following in this comparison, averaging 80 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Z-1 has the edge for multilingual tasks in this comparison, averaging 72.7 versus 61.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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