DeepSeek V3.1
Nothing here. The model returned empty. We stared at it for a while.
DeepSeek V3.1 vs DeepSeek V3 (March 2024)
Compare DeepSeek V3.1 and DeepSeek V3 (March 2024), 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 V3 (March 2024)?
DeepSeek V3.1 and DeepSeek V3 (March 2024) are both competitive models. DeepSeek V3.1 costs $0.2/M input tokens vs $0.14/M for DeepSeek V3 (March 2024). Context windows: 164K vs 128K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek V3.1 and DeepSeek V3 (March 2024)
DeepSeek V3.1 is made by deepseek while DeepSeek V3 (March 2024) is from deepseek. DeepSeek V3.1 has a 164K token context window compared to DeepSeek V3 (March 2024)'s 128K. On pricing, DeepSeek V3.1 costs $0.2/M input tokens vs $0.14/M for DeepSeek V3 (March 2024).
Our Verdict
DeepSeek V3.1
DeepSeek V3 (March 2024)
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
Too close to call
Writing DNA
Style Comparison
Similarity
94%
DeepSeek V3 (March 2024) uses 10.9x more emoji
DeepSeek V3.1
DeepSeek V3 (March 2024)
53%Vocabulary58%
14wSentence Length18w
0.42Hedging0.73
4.0Bold7.5
3.6Lists7.6
0.02Emoji0.26
0.40Headings1.60
0.22Transitions0.08
Based on 23 + 16 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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