Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-mini is clearly ahead on the aggregate, 71 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-mini's sharpest advantage is in mathematics, where it averages 87.3 against 37. The single biggest benchmark swing on the page is AIME 2024, 87.3 to 26.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-1.2B-Instruct. That is roughly Infinityx on output cost alone. o3-mini 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. o3-mini gives you the larger context window at 200K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick o3-mini if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
o3-mini
66.6
LFM2.5-1.2B-Instruct
25.7
o3-mini
55.6
LFM2.5-1.2B-Instruct
7.2
o3-mini
74.4
LFM2.5-1.2B-Instruct
32.4
o3-mini
81.1
LFM2.5-1.2B-Instruct
32.1
o3-mini
70.8
LFM2.5-1.2B-Instruct
26
o3-mini
93.9
LFM2.5-1.2B-Instruct
80
o3-mini
73
LFM2.5-1.2B-Instruct
60.7
o3-mini
87.3
LFM2.5-1.2B-Instruct
37
o3-mini is ahead overall, 71 to 30. The biggest single separator in this matchup is AIME 2024, where the scores are 87.3 and 26.
o3-mini has the edge for knowledge tasks in this comparison, averaging 70.8 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o3-mini has the edge for coding in this comparison, averaging 55.6 versus 7.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for math in this comparison, averaging 87.3 versus 37. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o3-mini has the edge for reasoning in this comparison, averaging 81.1 versus 32.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o3-mini has the edge for agentic tasks in this comparison, averaging 66.6 versus 25.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o3-mini has the edge for multimodal and grounded tasks in this comparison, averaging 74.4 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o3-mini has the edge for multilingual tasks in this comparison, averaging 73 versus 60.7. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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