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 42. 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 22.8. The single biggest benchmark swing on the page is SWE-bench Verified, 83 to 16.
GPT-5.2 Pro gives you the larger context window at 400K, compared with 128K for Qwen3 235B 2507 (Reasoning).
Pick GPT-5.2 Pro 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.
GPT-5.2 Pro
85.9
Qwen3 235B 2507 (Reasoning)
45.9
GPT-5.2 Pro
84.8
Qwen3 235B 2507 (Reasoning)
22.8
GPT-5.2 Pro
96
Qwen3 235B 2507 (Reasoning)
42.1
GPT-5.2 Pro
95.2
Qwen3 235B 2507 (Reasoning)
49
GPT-5.2 Pro
81.5
Qwen3 235B 2507 (Reasoning)
34.1
GPT-5.2 Pro
95
Qwen3 235B 2507 (Reasoning)
68
GPT-5.2 Pro
93.4
Qwen3 235B 2507 (Reasoning)
58.8
GPT-5.2 Pro
98.2
Qwen3 235B 2507 (Reasoning)
48.5
GPT-5.2 Pro is ahead overall, 90 to 42. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 83 and 16.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 34.1. 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 22.8. Inside this category, SWE-bench Verified 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 48.5. 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 49. 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 45.9. 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 42.1. Inside this category, MMMU-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 68. 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 58.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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