Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4
87
Qwen3.5-35B-A3B
55
Verified leaderboard positions: GPT-5.4 #19 · Qwen3.5-35B-A3B #27
Pick GPT-5.4 if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+26.4 difference
Coding
+0.7 difference
Knowledge
+13.2 difference
GPT-5.4
Qwen3.5-35B-A3B
$2.5 / $15
$0 / $0
74 t/s
N/A
151.79s
N/A
1.05M
262K
Pick GPT-5.4 if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 is clearly ahead on the provisional aggregate, 87 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in agentic, where it averages 77 against 50.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 75.1% to 40.5%. Qwen3.5-35B-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 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-35B-A3B. That is roughly Infinityx on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 262K for Qwen3.5-35B-A3B.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 87 to 55. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 75.1% and 40.5%.
Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 79.3 versus 66.1. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for coding in this comparison, averaging 58.4 versus 57.7. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77 versus 50.6. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.
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