Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 mini
70
Qwen3.7 Max
93
Verified leaderboard positions: GPT-5.4 mini unranked · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Agentic
+4.1 difference
Knowledge
+13.8 difference
GPT-5.4 mini
Qwen3.7 Max
$0.75 / $4.5
$null / $null
201 t/s
N/A
3.85s
N/A
400K
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. GPT-5.4 mini 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 70. 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 knowledge, where it averages 71.2 against 57.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 60% to 69.7%.
Qwen3.7 Max gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 70. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 60% and 69.7%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 57.4. 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 65.6. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
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