DeepSeek V3.1
Nothing here. The model returned empty. We stared at it for a while.
DeepSeek V3.1 vs DeepSeek R1 0528
Compare DeepSeek V3.1 and DeepSeek R1 0528, both from DeepSeek, in 10 community votes, deepseek v3.1 wins 60% of head-to-head duels, context windows of 164K vs 164K, tested across 53 shared challenges. Updated April 2026.
Which is better, DeepSeek V3.1 or DeepSeek R1 0528?
DeepSeek V3.1 is the better choice overall, winning 60% of 10 blind community votes on Rival. DeepSeek V3.1 costs $0.2/M input tokens vs $0/M for DeepSeek R1 0528. Context windows: 164K vs 164K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek V3.1 and DeepSeek R1 0528
DeepSeek V3.1 is made by deepseek while DeepSeek R1 0528 is from deepseek. DeepSeek V3.1 has a 164K token context window compared to DeepSeek R1 0528's 164K. On pricing, DeepSeek V3.1 costs $0.2/M input tokens vs $0/M for DeepSeek R1 0528. In community voting, In 10 community votes, DeepSeek V3.1 wins 60% of head-to-head duels.
In 10 community votes, DeepSeek V3.1 wins 60% of head-to-head duels. DeepSeek V3.1 leads in Image Generation. Based on blind community voting from the Rival open dataset of 10+ human preference judgments for this pair.
Image Generation: DeepSeek V3.1 wins 67% of votes
Web Design: DeepSeek V3.1 and DeepSeek R1 0528 are tied
Our Verdict
DeepSeek V3.1Winner
DeepSeek R1 0528Runner-up
Pick DeepSeek V3.1. In 10 blind votes, DeepSeek V3.1 wins 60% of the time. That's not luck.
DeepSeek V3.1 particularly excels in Image Generation.
Clear winner
Writing DNA
Style Comparison
Similarity
94%
DeepSeek V3.1 uses 2.4x more emoji
DeepSeek V3.1
DeepSeek R1 0528
53%Vocabulary64%
14wSentence Length10w
0.42Hedging0.30
4.0Bold6.8
3.6Lists4.9
0.02Emoji0.00
0.40Headings0.40
0.22Transitions0.00
Based on 23 + 4 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.
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