Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-OSS 120B is clearly ahead on the aggregate, 48 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-OSS 120B's sharpest advantage is in agentic, where it averages 44.8 against 33.4. The single biggest benchmark swing on the page is MRCRv2, 59 to 45.
GPT-OSS 120B gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick GPT-OSS 120B if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-OSS 120B
44.8
LFM2-24B-A2B
33.4
GPT-OSS 120B
28.1
LFM2-24B-A2B
18
GPT-OSS 120B
48.8
LFM2-24B-A2B
41.7
GPT-OSS 120B
55.2
LFM2-24B-A2B
46.6
GPT-OSS 120B
41.5
LFM2-24B-A2B
35.6
GPT-OSS 120B
79
LFM2-24B-A2B
68
GPT-OSS 120B
70.7
LFM2-24B-A2B
61.4
GPT-OSS 120B
59.5
LFM2-24B-A2B
50.4
GPT-OSS 120B is ahead overall, 48 to 38. The biggest single separator in this matchup is MRCRv2, where the scores are 59 and 45.
GPT-OSS 120B has the edge for knowledge tasks in this comparison, averaging 41.5 versus 35.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
GPT-OSS 120B has the edge for coding in this comparison, averaging 28.1 versus 18. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-OSS 120B has the edge for math in this comparison, averaging 59.5 versus 50.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
GPT-OSS 120B has the edge for reasoning in this comparison, averaging 55.2 versus 46.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-OSS 120B has the edge for agentic tasks in this comparison, averaging 44.8 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-OSS 120B has the edge for multimodal and grounded tasks in this comparison, averaging 48.8 versus 41.7. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-OSS 120B has the edge for instruction following in this comparison, averaging 79 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-OSS 120B has the edge for multilingual tasks in this comparison, averaging 70.7 versus 61.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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