Head-to-head comparison across 7 benchmark categories
GPT-5 (high)
82
Qwen3.6 Plus
69
Pick GPT-5 (high) if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if instruction following is the priority or you need the larger 1M context window.
Agentic
+13.2 difference
Coding
+1.3 difference
Reasoning
+21.1 difference
Knowledge
+6.6 difference
Multilingual
+1.7 difference
Multimodal
+10.6 difference
Inst. Following
+3.3 difference
GPT-5 (high)
Qwen3.6 Plus
$null / $null
$0 / $0
83 t/s
N/A
36.28s
N/A
128K
1M
Pick GPT-5 (high) if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if instruction following is the priority or you need the larger 1M context window.
GPT-5 (high) is clearly ahead on the aggregate, 82 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 (high)'s sharpest advantage is in reasoning, where it averages 83.1 against 62. The single biggest benchmark swing on the page is LongBench v2, 83% to 62%. Qwen3.6 Plus does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Qwen3.6 Plus gives you the larger context window at 1M, compared with 128K for GPT-5 (high).
GPT-5 (high) is ahead overall, 82 to 69. The biggest single separator in this matchup is LongBench v2, where the scores are 83% and 62%.
GPT-5 (high) has the edge for knowledge tasks in this comparison, averaging 72.6 versus 66. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for coding in this comparison, averaging 66.2 versus 64.9. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for reasoning in this comparison, averaging 83.1 versus 62. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for agentic tasks in this comparison, averaging 75.2 versus 62. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for multimodal and grounded tasks in this comparison, averaging 89.4 versus 78.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for instruction following in this comparison, averaging 94.3 versus 91. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for multilingual tasks in this comparison, averaging 86.4 versus 84.7. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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