DeepSeek R1 0528
Nothing here. The model returned empty. We stared at it for a while.
DeepSeek R1 0528 vs MiniMax M2-her
Compare DeepSeek R1 0528 by DeepSeek against MiniMax M2-her by MiniMax, context windows of 164K vs 66K, tested across 54 shared challenges. Updated April 2026.
Which is better, DeepSeek R1 0528 or MiniMax M2-her?
DeepSeek R1 0528 and MiniMax M2-her are both competitive models. DeepSeek R1 0528 costs $0/M input tokens vs $0.3/M for MiniMax M2-her. Context windows: 164K vs 66K tokens. Compare their real outputs side by side below.
Key Differences Between DeepSeek R1 0528 and MiniMax M2-her
DeepSeek R1 0528 is made by deepseek while MiniMax M2-her is from minimax. DeepSeek R1 0528 has a 164K token context window compared to MiniMax M2-her's 66K. On pricing, DeepSeek R1 0528 costs $0/M input tokens vs $0.3/M for MiniMax M2-her.
Our Verdict
DeepSeek R1 0528
MiniMax M2-herRunner-up
No community votes yet. On paper, DeepSeek R1 0528 has the edge — bigger model tier, bigger context window, major provider backing.
Too close to call
Writing DNA
Style Comparison
Similarity
83%
MiniMax M2-her uses 96.5x more emoji
DeepSeek R1 0528
MiniMax M2-her
64%Vocabulary65%
10wSentence Length18w
0.30Hedging0.71
6.8Bold2.0
4.9Lists1.7
0.00Emoji0.96
0.40Headings0.31
0.00Transitions0.21
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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