Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (Max)
75
Qwen3.7 Max
93
Verified leaderboard positions: DeepSeek V4 Flash (Max) #15 · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. DeepSeek V4 Flash (Max) only becomes the better choice if coding is the priority.
Agentic
+6.4 difference
Coding
+0.1 difference
Knowledge
+11.2 difference
DeepSeek V4 Flash (Max)
Qwen3.7 Max
$0.14 / $0.28
$null / $null
N/A
N/A
N/A
N/A
1M
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. DeepSeek V4 Flash (Max) only becomes the better choice if coding is the priority.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 75. 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 60. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 56.9% to 69.7%. DeepSeek V4 Flash (Max) does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 75. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 56.9% and 69.7%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 60. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeek V4 Flash (Max) has the edge for coding in this comparison, averaging 73.7 versus 73.6. Inside this category, Terminal-Bench 2.0 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 63.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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