Llama 3.1 405B vs MiniMax M2-her
Compare Llama 3.1 405B by Meta AI against MiniMax M2-her by MiniMax, context windows of 128K vs 66K, tested across 12 shared challenges. Updated April 2026.
Which is better, Llama 3.1 405B or MiniMax M2-her?
Llama 3.1 405B and MiniMax M2-her are both competitive models. Llama 3.1 405B costs $2.7/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 Llama 3.1 405B and MiniMax M2-her
Llama 3.1 405B is made by meta while MiniMax M2-her is from minimax. Llama 3.1 405B has a 128K token context window compared to MiniMax M2-her's 66K. On pricing, Llama 3.1 405B costs $2.7/M input tokens vs $0.3/M for MiniMax M2-her.
No community votes yet. On paper, Llama 3.1 405B has the edge — bigger model tier, bigger context window, major provider backing.
Style Comparison
MiniMax M2-her uses 198.6x more bold
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.
