GPT-4o (Omni)
Nothing here. The model returned empty. We stared at it for a while.
GPT-4o (Omni) vs MiniMax M2-her
Compare GPT-4o (Omni) by OpenAI against MiniMax M2-her by MiniMax, context windows of 128K vs 66K, tested across 53 shared challenges. Updated April 2026.
Which is better, GPT-4o (Omni) or MiniMax M2-her?
GPT-4o (Omni) and MiniMax M2-her are both competitive models. GPT-4o (Omni) costs $2.5/M input tokens vs $0.3/M for MiniMax M2-her. Context windows: 128K vs 66K tokens. Compare their real outputs side by side below.
Key Differences Between GPT-4o (Omni) and MiniMax M2-her
GPT-4o (Omni) is made by openai while MiniMax M2-her is from minimax. GPT-4o (Omni) has a 128K token context window compared to MiniMax M2-her's 66K. On pricing, GPT-4o (Omni) costs $2.5/M input tokens vs $0.3/M for MiniMax M2-her.
Our Verdict
GPT-4o (Omni)
MiniMax M2-herRunner-up
No community votes yet. On paper, GPT-4o (Omni) has the edge — bigger model tier, bigger context window, major provider backing.
MiniMax M2-her is 8.3x cheaper per token — worth considering if cost matters.
Too close to call
Writing DNA
Style Comparison
Similarity
99%
MiniMax M2-her uses 38.4x more emoji
GPT-4o (Omni)
MiniMax M2-her
54%Vocabulary65%
18wSentence Length18w
0.72Hedging0.71
7.3Bold2.0
5.6Lists1.7
0.03Emoji0.96
1.40Headings0.31
0.26Transitions0.21
Based on 24 + 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.
Free preview13 of 58 slides
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