Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o4-mini (high) is clearly ahead on the aggregate, 63 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o4-mini (high)'s sharpest advantage is in mathematics, where it averages 82.9 against 42.3. The single biggest benchmark swing on the page is HumanEval, 74 to 17.
LFM2.5-1.2B-Thinking is the reasoning model in the pair, while o4-mini (high) 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. o4-mini (high) gives you the larger context window at 200K, compared with 32K for LFM2.5-1.2B-Thinking.
Pick o4-mini (high) if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if you want the stronger reasoning-first profile.
o4-mini (high)
58.5
LFM2.5-1.2B-Thinking
34.1
o4-mini (high)
38.7
LFM2.5-1.2B-Thinking
8.2
o4-mini (high)
68.3
LFM2.5-1.2B-Thinking
32.4
o4-mini (high)
77.4
LFM2.5-1.2B-Thinking
38.4
o4-mini (high)
61.2
LFM2.5-1.2B-Thinking
27
o4-mini (high)
83
LFM2.5-1.2B-Thinking
72
o4-mini (high)
81.7
LFM2.5-1.2B-Thinking
60.7
o4-mini (high)
82.9
LFM2.5-1.2B-Thinking
42.3
o4-mini (high) is ahead overall, 63 to 33. The biggest single separator in this matchup is HumanEval, where the scores are 74 and 17.
o4-mini (high) has the edge for knowledge tasks in this comparison, averaging 61.2 versus 27. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for coding in this comparison, averaging 38.7 versus 8.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for math in this comparison, averaging 82.9 versus 42.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for reasoning in this comparison, averaging 77.4 versus 38.4. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for agentic tasks in this comparison, averaging 58.5 versus 34.1. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for multimodal and grounded tasks in this comparison, averaging 68.3 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for instruction following in this comparison, averaging 83 versus 72. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for multilingual tasks in this comparison, averaging 81.7 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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