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 30. 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 reasoning, where it averages 55.2 against 32.1. The single biggest benchmark swing on the page is HumanEval, 43 to 14. LFM2.5-1.2B-Instruct does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
GPT-OSS 120B gives you the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick GPT-OSS 120B if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if instruction following is the priority.
GPT-OSS 120B
44.8
LFM2.5-1.2B-Instruct
25.7
GPT-OSS 120B
28.1
LFM2.5-1.2B-Instruct
7.2
GPT-OSS 120B
48.8
LFM2.5-1.2B-Instruct
32.4
GPT-OSS 120B
55.2
LFM2.5-1.2B-Instruct
32.1
GPT-OSS 120B
41.5
LFM2.5-1.2B-Instruct
26
GPT-OSS 120B
79
LFM2.5-1.2B-Instruct
80
GPT-OSS 120B
70.7
LFM2.5-1.2B-Instruct
60.7
GPT-OSS 120B
59.5
LFM2.5-1.2B-Instruct
37
GPT-OSS 120B is ahead overall, 48 to 30. The biggest single separator in this matchup is HumanEval, where the scores are 43 and 14.
GPT-OSS 120B has the edge for knowledge tasks in this comparison, averaging 41.5 versus 26. 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 7.2. 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 37. 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 32.1. 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 25.7. 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 32.4. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Instruct has the edge for instruction following in this comparison, averaging 80 versus 79. 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.
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.