Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
o3-mini is clearly ahead on the aggregate, 56 to 40. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-mini's sharpest advantage is in knowledge, where it averages 82.1 against 34.7. The single biggest benchmark swing on the page is MMLU, 86.9 to 40.
o3-mini gives you the larger context window at 200K, compared with 128K for Qwen3 235B 2507 (Reasoning).
Pick o3-mini if you want the stronger benchmark profile. Qwen3 235B 2507 (Reasoning) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
o3-mini
82.1
Qwen3 235B 2507 (Reasoning)
34.7
o3-mini
49.3
Qwen3 235B 2507 (Reasoning)
22
o3-mini
87.3
Qwen3 235B 2507 (Reasoning)
41.6
o3-mini
93.9
Qwen3 235B 2507 (Reasoning)
68
o3-mini is ahead overall, 56 to 40. The biggest single separator in this matchup is MMLU, where the scores are 86.9 and 40.
o3-mini has the edge for knowledge tasks in this comparison, averaging 82.1 versus 34.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o3-mini has the edge for coding in this comparison, averaging 49.3 versus 22. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
o3-mini has the edge for math in this comparison, averaging 87.3 versus 41.6. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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