Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Qwen2.5-72B is clearly ahead on the aggregate, 72 to 23. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen2.5-72B's sharpest advantage is in mathematics, where it averages 83.1 against 9.8. The single biggest benchmark swing on the page is AIME 2024, 86 to 9.8.
GPT-4.1 nano gives you the larger context window at 1M, compared with 128K for Qwen2.5-72B.
Pick Qwen2.5-72B if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you need the larger 1M context window.
Qwen2.5-72B
68.2
GPT-4.1 nano
65.2
Qwen2.5-72B
83.1
GPT-4.1 nano
9.8
Qwen2.5-72B
85
GPT-4.1 nano
83.2
Qwen2.5-72B is ahead overall, 72 to 23. The biggest single separator in this matchup is AIME 2024, where the scores are 86 and 9.8.
Qwen2.5-72B has the edge for knowledge tasks in this comparison, averaging 68.2 versus 65.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for math in this comparison, averaging 83.1 versus 9.8. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for instruction following in this comparison, averaging 85 versus 83.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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