Head-to-head comparison across 5benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.5
91
Qwen3.5-122B-A10B
64
Verified leaderboard positions: GPT-5.5 #5 · Qwen3.5-122B-A10B #11
Pick GPT-5.5 if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+25.4 difference
Coding
+13.4 difference
Reasoning
+24.8 difference
Knowledge
+15.2 difference
Multimodal
+6.8 difference
GPT-5.5
Qwen3.5-122B-A10B
$5 / $30
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick GPT-5.5 if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.5 is clearly ahead on the provisional aggregate, 91 to 64. 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 agentic, where it averages 81.5 against 56.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 82% to 49.4%. Qwen3.5-122B-A10B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. GPT-5.5 gives you the larger context window at 1M, compared with 262K for Qwen3.5-122B-A10B.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 91 to 64. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 82% and 49.4%.
Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 66.4. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 58.6. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
GPT-5.5 has the edge for reasoning in this comparison, averaging 85 versus 60.2. Inside this category, CritPt is the benchmark that creates the most daylight between them.
GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.5 versus 56.1. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for multimodal and grounded tasks in this comparison, averaging 77.2 versus 70.4. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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