DeepSeek V3.1
Nothing here. The model returned empty. We stared at it for a while.
DeepSeek V3.1 vs Qwen3 235B A22B
Compare DeepSeek V3.1 by DeepSeek against Qwen3 235B A22B by Qwen, in 3 community votes, qwen3 235b a22b wins 100% of head-to-head duels, context windows of 164K vs 33K, tested across 53 shared challenges. Updated April 2026.
Which is better, DeepSeek V3.1 or Qwen3 235B A22B?
Qwen3 235B A22B is the better choice overall, winning 100% of 3 blind community votes on Rival. Context windows: 164K vs 33K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek V3.1 and Qwen3 235B A22B
DeepSeek V3.1 is made by deepseek while Qwen3 235B A22B is from qwen. DeepSeek V3.1 has a 164K token context window compared to Qwen3 235B A22B's 33K. In community voting, In 3 community votes, Qwen3 235B A22B wins 100% of head-to-head duels.
In 3 community votes, Qwen3 235B A22B wins 100% of head-to-head duels. Qwen3 235B A22B leads in Image Generation. Based on blind community voting from the Rival open dataset of 3+ human preference judgments for this pair.
Image Generation: Qwen3 235B A22B wins 100% of votes
Our Verdict
Qwen3 235B A22BWinner
DeepSeek V3.1Runner-up
Pick Qwen3 235B A22B. In 3 blind votes, Qwen3 235B A22B wins 100% of the time. That's not luck.
Qwen3 235B A22B particularly excels in Image Generation.
Clear winner
Writing DNA
Style Comparison
Similarity
94%
DeepSeek V3.1 uses 42.3x more hedging
DeepSeek V3.1
Qwen3 235B A22B
53%Vocabulary68%
14wSentence Length9w
0.42Hedging0.00
4.0Bold5.8
3.6Lists3.7
0.02Emoji0.74
0.40Headings0.00
0.22Transitions0.12
Based on 23 + 2 text responses
vsAsk them anything yourself
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.
Free preview13 of 58 slides
FAQ