Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Kimi K2 is clearly ahead on the aggregate, 34 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2's sharpest advantage is in reasoning, where it averages 40.9 against 32.1. The single biggest benchmark swing on the page is LongBench v2, 47 to 34. 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.
Kimi K2 gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Kimi K2 if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if instruction following is the priority.
Kimi K2
29.3
LFM2.5-1.2B-Instruct
25.7
Kimi K2
12.8
LFM2.5-1.2B-Instruct
7.2
Kimi K2
39.5
LFM2.5-1.2B-Instruct
32.4
Kimi K2
40.9
LFM2.5-1.2B-Instruct
32.1
Kimi K2
29.3
LFM2.5-1.2B-Instruct
26
Kimi K2
67
LFM2.5-1.2B-Instruct
80
Kimi K2
59.7
LFM2.5-1.2B-Instruct
60.7
Kimi K2
42.7
LFM2.5-1.2B-Instruct
37
Kimi K2 is ahead overall, 34 to 30. The biggest single separator in this matchup is LongBench v2, where the scores are 47 and 34.
Kimi K2 has the edge for knowledge tasks in this comparison, averaging 29.3 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for coding in this comparison, averaging 12.8 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for math in this comparison, averaging 42.7 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for reasoning in this comparison, averaging 40.9 versus 32.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for agentic tasks in this comparison, averaging 29.3 versus 25.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for multimodal and grounded tasks in this comparison, averaging 39.5 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.
LFM2.5-1.2B-Instruct has the edge for multilingual tasks in this comparison, averaging 60.7 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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