Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 4.1 Opus Thinking is clearly ahead on the aggregate, 44 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 4.1 Opus Thinking's sharpest advantage is in multimodal & grounded, where it averages 59.3 against 32.4. The single biggest benchmark swing on the page is MMMU-Pro, 62 to 27. 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.
Claude 4.1 Opus Thinking is the reasoning model in the pair, while LFM2.5-1.2B-Instruct is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude 4.1 Opus Thinking gives you the larger context window at 200K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Claude 4.1 Opus Thinking if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if instruction following is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Claude 4.1 Opus Thinking
46.7
LFM2.5-1.2B-Instruct
25.7
Claude 4.1 Opus Thinking
21.8
LFM2.5-1.2B-Instruct
7.2
Claude 4.1 Opus Thinking
59.3
LFM2.5-1.2B-Instruct
32.4
Claude 4.1 Opus Thinking
49.4
LFM2.5-1.2B-Instruct
32.1
Claude 4.1 Opus Thinking
34.3
LFM2.5-1.2B-Instruct
26
Claude 4.1 Opus Thinking
66
LFM2.5-1.2B-Instruct
80
Claude 4.1 Opus Thinking
58.7
LFM2.5-1.2B-Instruct
60.7
Claude 4.1 Opus Thinking
48.3
LFM2.5-1.2B-Instruct
37
Claude 4.1 Opus Thinking is ahead overall, 44 to 30. The biggest single separator in this matchup is MMMU-Pro, where the scores are 62 and 27.
Claude 4.1 Opus Thinking has the edge for knowledge tasks in this comparison, averaging 34.3 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Claude 4.1 Opus Thinking has the edge for coding in this comparison, averaging 21.8 versus 7.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude 4.1 Opus Thinking has the edge for math in this comparison, averaging 48.3 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Claude 4.1 Opus Thinking has the edge for reasoning in this comparison, averaging 49.4 versus 32.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Claude 4.1 Opus Thinking has the edge for agentic tasks in this comparison, averaging 46.7 versus 25.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Claude 4.1 Opus Thinking has the edge for multimodal and grounded tasks in this comparison, averaging 59.3 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 66. 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 58.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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