Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-OSS 120B is clearly ahead on the aggregate, 50 to 43. 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 mathematics, where it averages 52.6 against 26.4. The single biggest benchmark swing on the page is MMLU, 51 to 90.2. GPT-4.1 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 gives you the larger context window at 1M, compared with 128K for GPT-OSS 120B.
Pick GPT-OSS 120B if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
GPT-OSS 120B
43.8
GPT-4.1
78.3
GPT-OSS 120B
32.3
GPT-4.1
54.6
GPT-OSS 120B
52.6
GPT-4.1
26.4
GPT-OSS 120B
79
GPT-4.1
87.4
GPT-OSS 120B is ahead overall, 50 to 43. The biggest single separator in this matchup is MMLU, where the scores are 51 and 90.2.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 78.3 versus 43.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for coding in this comparison, averaging 54.6 versus 32.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-OSS 120B has the edge for math in this comparison, averaging 52.6 versus 26.4. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for instruction following in this comparison, averaging 87.4 versus 79. Inside this category, IFEval 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.