MiniMax M2-her is cheaper than Llama 3.1 405B at $0.3/M vs $2.7/M input tokens.
| Spec | Llama 3.1 405B | MiniMax M2-her |
|---|---|---|
| Input price | $2.7/M tokens | $0.3/M tokens |
| Output price | $3.1/M tokens | $1.2/M tokens |
| Context window | 128K tokens | 66K tokens |
| Released | Jul 2024 | Jan 2026 |
Not enough votes to call it. On the specs, Llama 3.1 405B has the edge: bigger model tier, bigger context window, major provider backing.
MiniMax M2-her is cheaper on both — 9.0× input, 2.6× output
MiniMax M2-her uses 198.6x more bold
MiniMax M2-her is cheaper than Llama 3.1 405B at $0.3/M vs $2.7/M input tokens.
| Spec | Llama 3.1 405B | MiniMax M2-her |
|---|---|---|
| Input price | $2.7/M tokens | $0.3/M tokens |
| Output price | $3.1/M tokens | $1.2/M tokens |
| Context window | 128K tokens | 66K tokens |
| Released | Jul 2024 | Jan 2026 |
Not enough votes to call it. On the specs, Llama 3.1 405B has the edge: bigger model tier, bigger context window, major provider backing.
MiniMax M2-her is cheaper on both — 9.0× input, 2.6× output
MiniMax M2-her uses 198.6x more bold