DeepSeek V3.1 vs MiniMax M1

Compare DeepSeek V3.1 by DeepSeek against MiniMax M1 by MiniMax, context windows of 164K vs 1.0M, tested across 26 shared challenges. Updated April 2026.

Which is better, DeepSeek V3.1 or MiniMax M1?

DeepSeek V3.1 and MiniMax M1 are both competitive models. DeepSeek V3.1 costs $0.2/M input tokens vs $0.3/M for MiniMax M1. Context windows: 164K vs 1000K tokens. Compare their real outputs side by side below.

Key Differences Between DeepSeek V3.1 and MiniMax M1

DeepSeek V3.1 is made by deepseek while MiniMax M1 is from minimax. DeepSeek V3.1 has a 164K token context window compared to MiniMax M1's 1000K. On pricing, DeepSeek V3.1 costs $0.2/M input tokens vs $0.3/M for MiniMax M1.

Our Verdict
DeepSeek V3.1
DeepSeek V3.1
MiniMax M1
MiniMax M1

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
93%

DeepSeek V3.1 uses 6.8x more transitions

DeepSeek V3.1
MiniMax M1
53%Vocabulary53%
14wSentence Length17w
0.42Hedging0.51
4.0Bold7.4
3.6Lists6.2
0.02Emoji0.10
0.40Headings0.86
0.22Transitions0.03
Based on 23 + 14 text responses
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DeepSeek V3.1MiniMax M1

279 AI models invented the same fake scientist.

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