Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 mini
73
Qwen3.6-35B-A3B
64
Verified leaderboard positions: GPT-5.4 mini unranked · Qwen3.6-35B-A3B #13
Pick GPT-5.4 mini if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if knowledge is the priority.
Agentic
+14.1 difference
Knowledge
+3.1 difference
Multimodal
+1.3 difference
GPT-5.4 mini
Qwen3.6-35B-A3B
$0.75 / $4.5
N/A
201 t/s
N/A
3.85s
N/A
400K
262K
Pick GPT-5.4 mini if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if knowledge is the priority.
GPT-5.4 mini is clearly ahead on the provisional aggregate, 73 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 mini's sharpest advantage is in agentic, where it averages 65.6 against 51.5. The single biggest benchmark swing on the page is HLE, 41.5% 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 mini gives you the larger context window at 400K, compared with 262K for Qwen3.6-35B-A3B.
GPT-5.4 mini is ahead on BenchLM's provisional leaderboard, 73 to 64. The biggest single separator in this matchup is HLE, where the scores are 41.5% and 21.4%.
Qwen3.6-35B-A3B has the edge for knowledge tasks in this comparison, averaging 60.5 versus 57.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.6 versus 51.5. Inside this category, Toolathlon is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for multimodal and grounded tasks in this comparison, averaging 76.6 versus 75.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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