DeepSeek V3.1
Nothing here. The model returned empty. We stared at it for a while.
DeepSeek V3.1 vs DeepSeek R1
Compare DeepSeek V3.1 and DeepSeek R1, both from DeepSeek, context windows of 164K vs 128K, tested across 53 shared challenges. Updated April 2026.
Which is better, DeepSeek V3.1 or DeepSeek R1?
DeepSeek V3.1 and DeepSeek R1 are both competitive models. DeepSeek V3.1 costs $0.2/M input tokens vs $0.55/M for DeepSeek R1. Context windows: 164K vs 128K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek V3.1 and DeepSeek R1
DeepSeek V3.1 is made by deepseek while DeepSeek R1 is from deepseek. DeepSeek V3.1 has a 164K token context window compared to DeepSeek R1's 128K. On pricing, DeepSeek V3.1 costs $0.2/M input tokens vs $0.55/M for DeepSeek R1.
Our Verdict
DeepSeek V3.1
DeepSeek R1Runner-up
No community votes yet. On paper, DeepSeek V3.1 has the edge — bigger model tier, newer.
Too close to call
Writing DNA
Style Comparison
Similarity
98%
DeepSeek R1 uses 2.0x more bold
DeepSeek V3.1
DeepSeek R1
53%Vocabulary62%
14wSentence Length15w
0.42Hedging0.52
4.0Bold8.0
3.6Lists5.7
0.02Emoji0.04
0.40Headings0.62
0.22Transitions0.28
Based on 23 + 22 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