Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4.1 is clearly ahead on the aggregate, 43 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1's sharpest advantage is in knowledge, where it averages 78.3 against 33.2. The single biggest benchmark swing on the page is MMLU, 90.2 to 39. Qwen3 235B 2507 does hit back in mathematics, 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 Qwen3 235B 2507.
Pick GPT-4.1 if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if mathematics is the priority.
GPT-4.1
78.3
Qwen3 235B 2507
33.2
GPT-4.1
54.6
Qwen3 235B 2507
18.7
GPT-4.1
26.4
Qwen3 235B 2507
40.4
GPT-4.1
87.4
Qwen3 235B 2507
69
GPT-4.1 is ahead overall, 43 to 38. The biggest single separator in this matchup is MMLU, where the scores are 90.2 and 39.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 78.3 versus 33.2. 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 18.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3 235B 2507 has the edge for math in this comparison, averaging 40.4 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 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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