Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
59
Qwen3.5-35B-A3B
58
Verified leaderboard positions: DeepSeek V4 Flash #23 · Qwen3.5-35B-A3B #18
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+1.5 difference
Coding
+1.3 difference
Knowledge
+34.1 difference
DeepSeek V4 Flash
Qwen3.5-35B-A3B
$0.14 / $0.28
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
DeepSeek V4 Flash finishes one point ahead on BenchLM's provisional leaderboard, 59 to 58. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
DeepSeek V4 Flash is also the more expensive model on tokens at $0.14 input / $0.28 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-35B-A3B. That is roughly Infinityx on output cost alone. Qwen3.5-35B-A3B is the reasoning model in the pair, while DeepSeek V4 Flash 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 gives you the larger context window at 1M, compared with 262K for Qwen3.5-35B-A3B.
DeepSeek V4 Flash is ahead on BenchLM's provisional leaderboard, 59 to 58. The biggest single separator in this matchup is GPQA, where the scores are 71.2% and 84.2%.
Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 79.3 versus 45.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for coding in this comparison, averaging 58.4 versus 57.1. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for agentic tasks in this comparison, averaging 50.6 versus 49.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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