Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Qwen3 235B 2507 has the cleaner overall profile here, landing at 38 versus 35. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3 235B 2507's sharpest advantage is in mathematics, where it averages 40.4 against 23.1. The single biggest benchmark swing on the page is MMLU, 39 to 87.5. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 mini gives you the larger context window at 1M, compared with 128K for Qwen3 235B 2507.
Pick Qwen3 235B 2507 if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
Qwen3 235B 2507
33.2
GPT-4.1 mini
75.9
Qwen3 235B 2507
18.7
GPT-4.1 mini
23.6
Qwen3 235B 2507
40.4
GPT-4.1 mini
23.1
Qwen3 235B 2507
69
GPT-4.1 mini
88.5
Qwen3 235B 2507 is ahead overall, 38 to 35. The biggest single separator in this matchup is MMLU, where the scores are 39 and 87.5.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 33.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for coding in this comparison, averaging 23.6 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 23.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for instruction following in this comparison, averaging 88.5 versus 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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