Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3.2 is clearly ahead on the aggregate, 64 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.2's sharpest advantage is in mathematics, where it averages 82.1 against 50.4. The single biggest benchmark swing on the page is MMLU, 84 to 46.
DeepSeek V3.2 gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick DeepSeek V3.2 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.
DeepSeek V3.2
58.8
LFM2-24B-A2B
33.4
DeepSeek V3.2
43.2
LFM2-24B-A2B
18
DeepSeek V3.2
66
LFM2-24B-A2B
41.7
DeepSeek V3.2
75.3
LFM2-24B-A2B
46.6
DeepSeek V3.2
60
LFM2-24B-A2B
35.6
DeepSeek V3.2
85
LFM2-24B-A2B
68
DeepSeek V3.2
82.1
LFM2-24B-A2B
61.4
DeepSeek V3.2
82.1
LFM2-24B-A2B
50.4
DeepSeek V3.2 is ahead overall, 64 to 38. The biggest single separator in this matchup is MMLU, where the scores are 84 and 46.
DeepSeek V3.2 has the edge for knowledge tasks in this comparison, averaging 60 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for coding in this comparison, averaging 43.2 versus 18. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for math in this comparison, averaging 82.1 versus 50.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for reasoning in this comparison, averaging 75.3 versus 46.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for agentic tasks in this comparison, averaging 58.8 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for multimodal and grounded tasks in this comparison, averaging 66 versus 41.7. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for instruction following in this comparison, averaging 85 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for multilingual tasks in this comparison, averaging 82.1 versus 61.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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