Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o1-preview is clearly ahead on the aggregate, 77 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-preview's sharpest advantage is in coding, where it averages 64.6 against 18. The single biggest benchmark swing on the page is SWE-bench Pro, 69 to 19.
o1-preview is the reasoning model in the pair, while LFM2-24B-A2B 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. o1-preview gives you the larger context window at 200K, compared with 32K for LFM2-24B-A2B.
Pick o1-preview if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
o1-preview
75.4
LFM2-24B-A2B
33.4
o1-preview
64.6
LFM2-24B-A2B
18
o1-preview
75.6
LFM2-24B-A2B
41.7
o1-preview
86.8
LFM2-24B-A2B
46.6
o1-preview
71.3
LFM2-24B-A2B
35.6
o1-preview
88
LFM2-24B-A2B
68
o1-preview
87.4
LFM2-24B-A2B
61.4
o1-preview
93.5
LFM2-24B-A2B
50.4
o1-preview is ahead overall, 77 to 38. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 69 and 19.
o1-preview has the edge for knowledge tasks in this comparison, averaging 71.3 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o1-preview has the edge for coding in this comparison, averaging 64.6 versus 18. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o1-preview has the edge for math in this comparison, averaging 93.5 versus 50.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
o1-preview has the edge for reasoning in this comparison, averaging 86.8 versus 46.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
o1-preview has the edge for agentic tasks in this comparison, averaging 75.4 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o1-preview has the edge for multimodal and grounded tasks in this comparison, averaging 75.6 versus 41.7. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
o1-preview has the edge for instruction following in this comparison, averaging 88 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o1-preview has the edge for multilingual tasks in this comparison, averaging 87.4 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.