Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Pro is clearly ahead on the aggregate, 90 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 Pro's sharpest advantage is in coding, where it averages 84.8 against 14.3. The single biggest benchmark swing on the page is SWE-bench Pro, 89 to 17.
GPT-5.2 Pro is the reasoning model in the pair, while Qwen2.5-VL-32B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.2 Pro gives you the larger context window at 400K, compared with 32K for Qwen2.5-VL-32B.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. Qwen2.5-VL-32B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.2 Pro
85.9
Qwen2.5-VL-32B
33.5
GPT-5.2 Pro
84.8
Qwen2.5-VL-32B
14.3
GPT-5.2 Pro
96
Qwen2.5-VL-32B
52.2
GPT-5.2 Pro
95.2
Qwen2.5-VL-32B
43.2
GPT-5.2 Pro
81.5
Qwen2.5-VL-32B
34.7
GPT-5.2 Pro
95
Qwen2.5-VL-32B
67
GPT-5.2 Pro
93.4
Qwen2.5-VL-32B
60.4
GPT-5.2 Pro
98.2
Qwen2.5-VL-32B
49.7
GPT-5.2 Pro is ahead overall, 90 to 38. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 89 and 17.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 34.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for coding in this comparison, averaging 84.8 versus 14.3. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for math in this comparison, averaging 98.2 versus 49.7. Inside this category, HMMT Feb 2023 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for reasoning in this comparison, averaging 95.2 versus 43.2. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for agentic tasks in this comparison, averaging 85.9 versus 33.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 96 versus 52.2. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for instruction following in this comparison, averaging 95 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multilingual tasks in this comparison, averaging 93.4 versus 60.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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