Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Pro Base
43
Qwen3 235B 2507
34
Pick DeepSeek V4 Pro Base if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority.
Knowledge
+12.8 difference
Multilingual
+5.0 difference
DeepSeek V4 Pro Base
Qwen3 235B 2507
$null / $null
$0 / $0
N/A
N/A
N/A
N/A
1M
128K
Pick DeepSeek V4 Pro Base if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority.
DeepSeek V4 Pro Base is clearly ahead on the provisional aggregate, 43 to 34. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro Base's sharpest advantage is in multilingual, where it averages 84.4 against 79.4. The single biggest benchmark swing on the page is MMLU-Pro, 73.5% to 83%. Qwen3 235B 2507 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
DeepSeek V4 Pro Base gives you the larger context window at 1M, compared with 128K for Qwen3 235B 2507.
DeepSeek V4 Pro Base is ahead on BenchLM's provisional leaderboard, 43 to 34. The biggest single separator in this matchup is MMLU-Pro, where the scores are 73.5% and 83%.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 63.4. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
DeepSeek V4 Pro Base has the edge for multilingual tasks in this comparison, averaging 84.4 versus 79.4. Qwen3 235B 2507 stays close enough that the answer can still flip depending on your workload.
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