Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro
68
Qwen3.7 Plus
87
Verified leaderboard positions: DeepSeek V4 Pro #29 · Qwen3.7 Plus #3
Pick Qwen3.7 Plus if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+12.6 difference
Coding
+12.3 difference
Knowledge
+18.5 difference
DeepSeek V4 Pro
Qwen3.7 Plus
$1.74 / $3.48
N/A
N/A
N/A
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1M
1M
Pick Qwen3.7 Plus if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Qwen3.7 Plus is clearly ahead on the provisional aggregate, 87 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Plus's sharpest advantage is in knowledge, where it averages 67.9 against 49.4. The single biggest benchmark swing on the page is LiveCodeBench, 56.8% to 89.6%.
Qwen3.7 Plus is the reasoning model in the pair, while DeepSeek V4 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Qwen3.7 Plus is ahead on BenchLM's provisional leaderboard, 87 to 68. The biggest single separator in this matchup is LiveCodeBench, where the scores are 56.8% and 89.6%.
Qwen3.7 Plus has the edge for knowledge tasks in this comparison, averaging 67.9 versus 49.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for coding in this comparison, averaging 71.1 versus 58.8. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Qwen3.7 Plus has the edge for agentic tasks in this comparison, averaging 71.7 versus 59.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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