DeepSeek V3.2 vs Qwen3.5-35B-A3B

Pick DeepSeek V3.2 if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if you want the cheaper token bill or you need the larger 262K context window.

DeepSeek V3.2 has the cleaner provisional overall profile here, landing at 58 versus 56. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

DeepSeek V3.2's sharpest advantage is in coding, where it averages 60.9 against 58.4. The single biggest benchmark swing on the page is SWE-Rebench, 60.9% to 53.7%.

DeepSeek V3.2 is also the more expensive model on tokens at $0.28 input / $0.42 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 V3.2 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. Qwen3.5-35B-A3B gives you the larger context window at 262K, compared with 128K for DeepSeek V3.2.