Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash Base
31
Qwen3.5-35B-A3B
58
Verified leaderboard positions: DeepSeek V4 Flash Base unranked · Qwen3.5-35B-A3B #18
Pick Qwen3.5-35B-A3B if you want the stronger benchmark profile. DeepSeek V4 Flash Base only becomes the better choice if multilingual is the priority or you need the larger 1M context window.
Reasoning
+14.3 difference
Knowledge
+27.1 difference
Multilingual
+4.7 difference
DeepSeek V4 Flash Base
Qwen3.5-35B-A3B
$null / $null
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick Qwen3.5-35B-A3B if you want the stronger benchmark profile. DeepSeek V4 Flash Base only becomes the better choice if multilingual is the priority or you need the larger 1M context window.
Qwen3.5-35B-A3B is clearly ahead on the provisional aggregate, 58 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5-35B-A3B's sharpest advantage is in knowledge, where it averages 79.3 against 52.2. The single biggest benchmark swing on the page is MMLU-Pro, 68.3% to 85.3%. DeepSeek V4 Flash Base does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
Qwen3.5-35B-A3B is the reasoning model in the pair, while DeepSeek V4 Flash Base 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. DeepSeek V4 Flash Base gives you the larger context window at 1M, compared with 262K for Qwen3.5-35B-A3B.
Qwen3.5-35B-A3B is ahead on BenchLM's provisional leaderboard, 58 to 31. The biggest single separator in this matchup is MMLU-Pro, where the scores are 68.3% and 85.3%.
Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 79.3 versus 52.2. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for reasoning in this comparison, averaging 59 versus 44.7. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DeepSeek V4 Flash Base has the edge for multilingual tasks in this comparison, averaging 85.7 versus 81. Qwen3.5-35B-A3B stays close enough that the answer can still flip depending on your workload.
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