DeepSeek V3.2 vs MiniMax M1

Compare DeepSeek V3.2 by DeepSeek against MiniMax M1 by MiniMax, context windows of 131K vs 1.0M, tested across 26 shared challenges. Updated April 2026.

Which is better, DeepSeek V3.2 or MiniMax M1?

DeepSeek V3.2 and MiniMax M1 are both competitive models. DeepSeek V3.2 costs $0.28/M input tokens vs $0.3/M for MiniMax M1. Context windows: 131K vs 1000K tokens. Compare their real outputs side by side below.

Key Differences Between DeepSeek V3.2 and MiniMax M1

DeepSeek V3.2 is made by deepseek while MiniMax M1 is from minimax. DeepSeek V3.2 has a 131K token context window compared to MiniMax M1's 1000K. On pricing, DeepSeek V3.2 costs $0.28/M input tokens vs $0.3/M for MiniMax M1.

Our Verdict
DeepSeek V3.2
DeepSeek V3.2
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.

DeepSeek V3.2 is 3.9x cheaper per token — worth considering if cost matters.

Too close to call
Writing DNA

Style Comparison

Similarity
100%

MiniMax M1 uses 10.4x more emoji

DeepSeek V3.2
MiniMax M1
52%Vocabulary53%
31wSentence Length17w
0.58Hedging0.51
6.3Bold7.4
5.4Lists6.2
0.00Emoji0.10
0.80Headings0.86
0.13Transitions0.03
Based on 24 + 14 text responses
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DeepSeek V3.2MiniMax M1

279 AI models invented the same fake scientist.

We read every word. 250 models. 2.14 million words. This is what we found.

AI Hallucination Index 2026
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