Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 nano
60
Qwen3.7 Max
93
Verified leaderboard positions: GPT-5.4 nano unranked · Qwen3.7 Max #2
Pick Qwen3.7 Max 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
+26.8 difference
Knowledge
+18.0 difference
GPT-5.4 nano
Qwen3.7 Max
$0.2 / $1.25
$null / $null
191 t/s
N/A
3.64s
N/A
400K
1M
Pick Qwen3.7 Max 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.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max's sharpest advantage is in agentic, where it averages 69.7 against 42.9. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 46.3% to 69.7%.
Qwen3.7 Max gives you the larger context window at 1M, compared with 400K for GPT-5.4 nano.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 60. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 46.3% and 69.7%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 53.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for agentic tasks in this comparison, averaging 69.7 versus 42.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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