Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini 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-4o mini's sharpest advantage is in coding, where it averages 87.2 against 18.7. The single biggest benchmark swing on the page is HumanEval, 87.2 to 31.
Pick GPT-4o mini if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-4o mini
82
Qwen3 235B 2507
33.2
GPT-4o mini
87.2
Qwen3 235B 2507
18.7
GPT-4o mini
87
Qwen3 235B 2507
63
GPT-4o mini is ahead overall, 43 to 38. The biggest single separator in this matchup is HumanEval, where the scores are 87.2 and 31.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 33.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for coding in this comparison, averaging 87.2 versus 18.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for multilingual tasks in this comparison, averaging 87 versus 63. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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