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 33. 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 coding, where it averages 28.1 against 8.2. The single biggest benchmark swing on the page is HumanEval, 43 to 17.
LFM2.5-1.2B-Thinking is the reasoning model in the pair, while GPT-OSS 120B 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. GPT-OSS 120B gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Thinking.
Pick GPT-OSS 120B 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.
GPT-OSS 120B
44.8
LFM2.5-1.2B-Thinking
34.1
GPT-OSS 120B
28.1
LFM2.5-1.2B-Thinking
8.2
GPT-OSS 120B
48.8
LFM2.5-1.2B-Thinking
32.4
GPT-OSS 120B
55.2
LFM2.5-1.2B-Thinking
38.4
GPT-OSS 120B
41.5
LFM2.5-1.2B-Thinking
27
GPT-OSS 120B
79
LFM2.5-1.2B-Thinking
72
GPT-OSS 120B
70.7
LFM2.5-1.2B-Thinking
60.7
GPT-OSS 120B
59.5
LFM2.5-1.2B-Thinking
42.3
GPT-OSS 120B is ahead overall, 48 to 33. The biggest single separator in this matchup is HumanEval, where the scores are 43 and 17.
GPT-OSS 120B has the edge for knowledge tasks in this comparison, averaging 41.5 versus 27. Inside this category, MMLU 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 8.2. Inside this category, HumanEval 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 42.3. Inside this category, AIME 2023 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 38.4. Inside this category, SimpleQA 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 34.1. Inside this category, BrowseComp 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 32.4. 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 72. 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 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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