DeepSeek V3.1 vs MiniMax M2-her
Compare DeepSeek V3.1 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 V3.1 or MiniMax M2-her?
DeepSeek V3.1 and MiniMax M2-her are both competitive models. DeepSeek V3.1 costs $0.2/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 V3.1 and MiniMax M2-her
DeepSeek V3.1 is made by deepseek while MiniMax M2-her is from minimax. DeepSeek V3.1 has a 164K token context window compared to MiniMax M2-her's 66K. On pricing, DeepSeek V3.1 costs $0.2/M input tokens vs $0.3/M for MiniMax M2-her.
No community votes yet. On paper, DeepSeek V3.1 has the edge — bigger model tier, bigger context window, major provider backing.
Style Comparison
MiniMax M2-her uses 41.1x more emoji
vsAsk them anything yourself
Some models write identically. You are paying for the brand.
178 models fingerprinted across 32 writing dimensions. Free research.
185x
price gap between models that write identically
178
models
12
clone pairs
32
dimensions
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.
