MiniMax M2-her is cheaper than Qwen3.8 2.4T A95B at $0.3/M vs $2/M input tokens.
| Spec | MiniMax M2-her | Qwen3.8 2.4T A95B |
|---|---|---|
| Input price | $0.3/M tokens | $2/M tokens |
| Output price | $1.2/M tokens | $6/M tokens |
| Context window | 66K tokens | 1.0M tokens |
| Released | Jan 2026 | Aug 2026 |
Not enough votes to call it. On the specs, Qwen3.8 2.4T A95B has the edge: bigger model tier, newer, bigger context window.
MiniMax M2-her costs 5.0x less per token.
MiniMax M2-her is cheaper on both — 6.7× input, 5.0× output
MiniMax M2-her uses 96.5x more emoji
MiniMax M2-her is cheaper than Qwen3.8 2.4T A95B at $0.3/M vs $2/M input tokens.
| Spec | MiniMax M2-her | Qwen3.8 2.4T A95B |
|---|---|---|
| Input price | $0.3/M tokens | $2/M tokens |
| Output price | $1.2/M tokens | $6/M tokens |
| Context window | 66K tokens | 1.0M tokens |
| Released | Jan 2026 | Aug 2026 |
Not enough votes to call it. On the specs, Qwen3.8 2.4T A95B has the edge: bigger model tier, newer, bigger context window.
MiniMax M2-her costs 5.0x less per token.
MiniMax M2-her is cheaper on both — 6.7× input, 5.0× output
MiniMax M2-her uses 96.5x more emoji