Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 nano
60
Qwen3.6 Plus
73
Verified leaderboard positions: GPT-5.4 nano unranked · Qwen3.6 Plus #12
Pick Qwen3.6 Plus if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+18.7 difference
Knowledge
+12.8 difference
Multimodal
+13.5 difference
GPT-5.4 nano
Qwen3.6 Plus
$0.2 / $1.25
$null / $null
191 t/s
N/A
3.64s
N/A
400K
1M
Pick Qwen3.6 Plus if you want the stronger benchmark profile. GPT-5.4 nano only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Qwen3.6 Plus is clearly ahead on the provisional aggregate, 73 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6 Plus's sharpest advantage is in agentic, where it averages 61.6 against 42.9. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 46.3% to 61.6%.
Qwen3.6 Plus gives you the larger context window at 1M, compared with 400K for GPT-5.4 nano.
Qwen3.6 Plus is ahead on BenchLM's provisional leaderboard, 73 to 60. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 46.3% and 61.6%.
Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 66 versus 53.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for agentic tasks in this comparison, averaging 61.6 versus 42.9. Inside this category, Terminal-Bench 2.0 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 66.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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