Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 mini
70
Qwen3.6 Plus
73
Verified leaderboard positions: GPT-5.4 mini unranked · Qwen3.6 Plus #12
Pick Qwen3.6 Plus if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if agentic is the priority.
Agentic
+4.0 difference
Knowledge
+8.6 difference
Multimodal
+3.0 difference
GPT-5.4 mini
Qwen3.6 Plus
$0.75 / $4.5
$null / $null
201 t/s
N/A
3.85s
N/A
400K
1M
Pick Qwen3.6 Plus if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if agentic is the priority.
Qwen3.6 Plus has the cleaner provisional overall profile here, landing at 73 versus 70. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3.6 Plus's sharpest advantage is in knowledge, where it averages 66 against 57.4. The single biggest benchmark swing on the page is HLE, 41.5% to 28.8%. GPT-5.4 mini does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Qwen3.6 Plus gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
Qwen3.6 Plus is ahead on BenchLM's provisional leaderboard, 73 to 70. The biggest single separator in this matchup is HLE, where the scores are 41.5% and 28.8%.
Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 66 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 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 79.6 versus 76.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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