Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3.1 (Reasoning) is clearly ahead on the aggregate, 41 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.1 (Reasoning)'s sharpest advantage is in coding, where it averages 19.9 against 8.2. The single biggest benchmark swing on the page is SWE-bench Pro, 25 to 7. LFM2.5-1.2B-Thinking does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
DeepSeek V3.1 (Reasoning) gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Thinking.
Pick DeepSeek V3.1 (Reasoning) if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if instruction following is the priority.
DeepSeek V3.1 (Reasoning)
44.2
LFM2.5-1.2B-Thinking
34.1
DeepSeek V3.1 (Reasoning)
19.9
LFM2.5-1.2B-Thinking
8.2
DeepSeek V3.1 (Reasoning)
41.5
LFM2.5-1.2B-Thinking
32.4
DeepSeek V3.1 (Reasoning)
45.8
LFM2.5-1.2B-Thinking
38.4
DeepSeek V3.1 (Reasoning)
32.8
LFM2.5-1.2B-Thinking
27
DeepSeek V3.1 (Reasoning)
70
LFM2.5-1.2B-Thinking
72
DeepSeek V3.1 (Reasoning)
62.1
LFM2.5-1.2B-Thinking
60.7
DeepSeek V3.1 (Reasoning)
46.1
LFM2.5-1.2B-Thinking
42.3
DeepSeek V3.1 (Reasoning) is ahead overall, 41 to 33. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 25 and 7.
DeepSeek V3.1 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 32.8 versus 27. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for coding in this comparison, averaging 19.9 versus 8.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for math in this comparison, averaging 46.1 versus 42.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for reasoning in this comparison, averaging 45.8 versus 38.4. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for agentic tasks in this comparison, averaging 44.2 versus 34.1. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 41.5 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for instruction following in this comparison, averaging 72 versus 70. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for multilingual tasks in this comparison, averaging 62.1 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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