MiniMax M2-her is cheaper than Qwen3 Max Thinking at $0.3/M vs $1.2/M input tokens.
| Spec | MiniMax M2-her | Qwen3 Max Thinking |
|---|---|---|
| Input price | $0.3/M tokens | $1.2/M tokens |
| Output price | $1.2/M tokens | $6/M tokens |
| Context window | 66K tokens | 262K tokens |
| Released | Jan 2026 | Feb 2026 |
Not enough votes to call it. On the specs, Qwen3 Max Thinking has the edge: bigger model tier, bigger context window.
MiniMax M2-her costs 5.0x less per token.
MiniMax M2-her is cheaper on both — 4.0× input, 5.0× output
MiniMax M2-her uses 5.8x more transitions
MiniMax M2-her is cheaper than Qwen3 Max Thinking at $0.3/M vs $1.2/M input tokens.
| Spec | MiniMax M2-her | Qwen3 Max Thinking |
|---|---|---|
| Input price | $0.3/M tokens | $1.2/M tokens |
| Output price | $1.2/M tokens | $6/M tokens |
| Context window | 66K tokens | 262K tokens |
| Released | Jan 2026 | Feb 2026 |
Not enough votes to call it. On the specs, Qwen3 Max Thinking has the edge: bigger model tier, bigger context window.
MiniMax M2-her costs 5.0x less per token.
MiniMax M2-her is cheaper on both — 4.0× input, 5.0× output
MiniMax M2-her uses 5.8x more transitions