Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 Pro
92
Qwen3.6-35B-A3B
64
Verified leaderboard positions: GPT-5.4 Pro unranked · Qwen3.6-35B-A3B #13
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if knowledge is the priority.
Agentic
+37.8 difference
Knowledge
+11.5 difference
Multimodal
+18.7 difference
GPT-5.4 Pro
Qwen3.6-35B-A3B
$30 / $180
N/A
74 t/s
N/A
151.79s
N/A
1.05M
262K
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if knowledge is the priority.
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 92 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in agentic, where it averages 89.3 against 51.5. The single biggest benchmark swing on the page is HLE, 58.7% to 21.4%. Qwen3.6-35B-A3B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 262K for Qwen3.6-35B-A3B.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 92 to 64. The biggest single separator in this matchup is HLE, where the scores are 58.7% and 21.4%.
Qwen3.6-35B-A3B has the edge for knowledge tasks in this comparison, averaging 60.5 versus 49. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 51.5. Qwen3.6-35B-A3B stays close enough that the answer can still flip depending on your workload.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 75.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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