Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V3
35
Qwen3.7 Max
93
Verified leaderboard positions: DeepSeek V3 unranked · Qwen3.7 Max #2
Pick Qwen3.7 Max if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+34.4 difference
Knowledge
+1.2 difference
Inst. Following
+2.9 difference
DeepSeek V3
Qwen3.7 Max
$0.27 / $1.1
$null / $null
N/A
N/A
N/A
N/A
128K
1M
Pick Qwen3.7 Max if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Qwen3.7 Max is clearly ahead on the provisional aggregate, 93 to 35. 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 coding, where it averages 73.6 against 39.2. The single biggest benchmark swing on the page is LiveCodeBench, 37.6% to 91.6%.
Qwen3.7 Max is the reasoning model in the pair, while DeepSeek V3 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 Max gives you the larger context window at 1M, compared with 128K for DeepSeek V3.
Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 93 to 35. The biggest single separator in this matchup is LiveCodeBench, where the scores are 37.6% and 91.6%.
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 71.2 versus 70. Inside this category, GPQA 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 39.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Qwen3.7 Max has the edge for instruction following in this comparison, averaging 89 versus 86.1. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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