Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 3 27B is clearly ahead on the aggregate, 38 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 3 27B's sharpest advantage is in reasoning, where it averages 45.6 against 32.1. The single biggest benchmark swing on the page is HumanEval, 37 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.
Pick Gemma 3 27B if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if instruction following is the priority.
Gemma 3 27B
34.4
LFM2.5-1.2B-Instruct
25.7
Gemma 3 27B
16
LFM2.5-1.2B-Instruct
7.2
Gemma 3 27B
41.7
LFM2.5-1.2B-Instruct
32.4
Gemma 3 27B
45.6
LFM2.5-1.2B-Instruct
32.1
Gemma 3 27B
34.6
LFM2.5-1.2B-Instruct
26
Gemma 3 27B
67
LFM2.5-1.2B-Instruct
80
Gemma 3 27B
61.4
LFM2.5-1.2B-Instruct
60.7
Gemma 3 27B
49.4
LFM2.5-1.2B-Instruct
37
Gemma 3 27B is ahead overall, 38 to 30. The biggest single separator in this matchup is HumanEval, where the scores are 37 and 14.
Gemma 3 27B has the edge for knowledge tasks in this comparison, averaging 34.6 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for coding in this comparison, averaging 16 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for math in this comparison, averaging 49.4 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for reasoning in this comparison, averaging 45.6 versus 32.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for agentic tasks in this comparison, averaging 34.4 versus 25.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for multimodal and grounded tasks in this comparison, averaging 41.7 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 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for multilingual tasks in this comparison, averaging 61.4 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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