DeepSeek R1 0528
Nothing here. The model returned empty. We stared at it for a while.
DeepSeek R1 0528 vs GPT-4o (Omni)
Compare DeepSeek R1 0528 by DeepSeek against GPT-4o (Omni) by OpenAI, context windows of 164K vs 128K, tested across 52 shared challenges. Updated April 2026.
Which is better, DeepSeek R1 0528 or GPT-4o (Omni)?
DeepSeek R1 0528 and GPT-4o (Omni) are both competitive models. DeepSeek R1 0528 costs $0/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 R1 0528 and GPT-4o (Omni)
DeepSeek R1 0528 is made by deepseek while GPT-4o (Omni) is from openai. DeepSeek R1 0528 has a 164K token context window compared to GPT-4o (Omni)'s 128K. On pricing, DeepSeek R1 0528 costs $0/M input tokens vs $2.5/M for GPT-4o (Omni).
Our Verdict
DeepSeek R1 0528
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.
Too close to call
Writing DNA
Style Comparison
Similarity
77%
GPT-4o (Omni) uses 2.5x more emoji
DeepSeek R1 0528
GPT-4o (Omni)
64%Vocabulary54%
10wSentence Length18w
0.30Hedging0.72
6.8Bold7.3
4.9Lists5.6
0.00Emoji0.03
0.40Headings1.40
0.00Transitions0.26
Based on 4 + 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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