DeepSeek V3.1
Nothing here. The model returned empty. We stared at it for a while.
DeepSeek V3.1 vs GPT-4o (Omni)
Compare DeepSeek V3.1 by DeepSeek against GPT-4o (Omni) by OpenAI, context windows of 164K vs 128K, tested across 53 shared challenges. Updated April 2026.
Which is better, DeepSeek V3.1 or GPT-4o (Omni)?
DeepSeek V3.1 and GPT-4o (Omni) are both competitive models. DeepSeek V3.1 costs $0.2/M input tokens vs $2.5/M for GPT-4o (Omni). Context windows: 164K vs 128K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek V3.1 and GPT-4o (Omni)
DeepSeek V3.1 is made by deepseek while GPT-4o (Omni) is from openai. DeepSeek V3.1 has a 164K token context window compared to GPT-4o (Omni)'s 128K. On pricing, DeepSeek V3.1 costs $0.2/M input tokens vs $2.5/M for GPT-4o (Omni).
Our Verdict
DeepSeek V3.1
GPT-4o (Omni)
No community votes yet. On paper, these are closely matched - try both with your actual task to see which fits your workflow.
DeepSeek V3.1 is 13x cheaper per token — worth considering if cost matters.
Too close to call
Writing DNA
Style Comparison
Similarity
94%
GPT-4o (Omni) uses 3.5x more headings
DeepSeek V3.1
GPT-4o (Omni)
53%Vocabulary54%
14wSentence Length18w
0.42Hedging0.72
4.0Bold7.3
3.6Lists5.6
0.02Emoji0.03
0.40Headings1.40
0.22Transitions0.26
Based on 23 + 24 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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