Head-to-head comparison across 5benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.5
89
Qwen3.6 Plus
76
Verified leaderboard positions: GPT-5.5 #2 · Qwen3.6 Plus #8
Pick GPT-5.5 if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if multimodal & grounded is the priority.
Agentic
+20.2 difference
Coding
+6.2 difference
Reasoning
+23.0 difference
Knowledge
+0.4 difference
Multimodal
+9.8 difference
GPT-5.5
Qwen3.6 Plus
$5 / $30
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick GPT-5.5 if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if multimodal & grounded is the priority.
GPT-5.5 is clearly ahead on the provisional aggregate, 89 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in reasoning, where it averages 85 against 62. The single biggest benchmark swing on the page is HLE, 52.2% to 28.8%. Qwen3.6 Plus does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 89 to 76. The biggest single separator in this matchup is HLE, where the scores are 52.2% and 28.8%.
GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 66.4 versus 66. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for coding in this comparison, averaging 64.8 versus 58.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.5 has the edge for reasoning in this comparison, averaging 85 versus 62. Qwen3.6 Plus stays close enough that the answer can still flip depending on your workload.
GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.8 versus 61.6. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 78.8 versus 69. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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