Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4
86
Qwen3.7 Max
84
Verified leaderboard positions: GPT-5.4 #12 · Qwen3.7 Max #4
Pick GPT-5.4 if you want the stronger benchmark profile. Qwen3.7 Max only becomes the better choice if coding is the priority.
Agentic
+7.3 difference
Coding
+15.9 difference
Knowledge
+5.1 difference
GPT-5.4
Qwen3.7 Max
$2.5 / $15
$null / $null
74 t/s
N/A
151.79s
N/A
1.05M
1M
Pick GPT-5.4 if you want the stronger benchmark profile. Qwen3.7 Max only becomes the better choice if coding is the priority.
GPT-5.4 has the cleaner provisional overall profile here, landing at 86 versus 84. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.4's sharpest advantage is in agentic, where it averages 77 against 69.7. The single biggest benchmark swing on the page is HLE, 52.1% to 41.4%. Qwen3.7 Max does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for Qwen3.7 Max.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 86 to 84. The biggest single separator in this matchup is HLE, where the scores are 52.1% and 41.4%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 66.1. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for coding in this comparison, averaging 73.6 versus 57.7. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 77 versus 69.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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