DeepSeek V3.2 vs Qwen: Qwen3.5 397B A17B

Compare DeepSeek V3.2 by DeepSeek against Qwen: Qwen3.5 397B A17B by Qwen, context windows of 131K vs 262K, tested across 53 shared challenges. Updated April 2026.

Which is better, DeepSeek V3.2 or Qwen: Qwen3.5 397B A17B?

DeepSeek V3.2 and Qwen: Qwen3.5 397B A17B are both competitive models. DeepSeek V3.2 costs $0.28/M input tokens vs $0.6/M for Qwen: Qwen3.5 397B A17B. Context windows: 131K vs 262K tokens. Compare their real outputs side by side below.

Key Differences Between DeepSeek V3.2 and Qwen: Qwen3.5 397B A17B

DeepSeek V3.2 is made by deepseek while Qwen: Qwen3.5 397B A17B is from qwen. DeepSeek V3.2 has a 131K token context window compared to Qwen: Qwen3.5 397B A17B's 262K. On pricing, DeepSeek V3.2 costs $0.28/M input tokens vs $0.6/M for Qwen: Qwen3.5 397B A17B.

Our Verdict
Qwen: Qwen3.5 397B A17B
Qwen: Qwen3.5 397B A17B
DeepSeek V3.2
DeepSeek V3.2Runner-up

No community votes yet. On paper, Qwen: Qwen3.5 397B A17B has the edge — bigger model tier, newer, bigger context window.

DeepSeek V3.2 is 8.6x cheaper per token — worth considering if cost matters.

Too close to call
Writing DNA

Style Comparison

Similarity
97%

Qwen: Qwen3.5 397B A17B uses 22.8x more emoji

DeepSeek V3.2
Qwen: Qwen3.5 397B A17B
52%Vocabulary54%
31wSentence Length14w
0.58Hedging0.39
6.3Bold6.9
5.4Lists4.2
0.00Emoji0.23
0.80Headings0.93
0.13Transitions0.17
Based on 24 + 23 text responses
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DeepSeek V3.2Qwen: Qwen3.5 397B A17B

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