MiniMax M2-her is cheaper than GPT-3.5 Turbo at $0.3/M vs $1.5/M input tokens.
| Spec | GPT-3.5 Turbo | MiniMax M2-her |
|---|---|---|
| Input price | $1.5/M tokens | $0.3/M tokens |
| Output price | $2/M tokens | $1.2/M tokens |
| Context window | 16K tokens | 66K tokens |
| Released | Mar 2022 | Jan 2026 |
Not enough votes to call it. On the specs, MiniMax M2-her has the edge: bigger model tier, newer, bigger context window.
MiniMax M2-her is cheaper on both — 5.0× input, 1.7× output
MiniMax M2-her uses 198.6x more bold
MiniMax M2-her is cheaper than GPT-3.5 Turbo at $0.3/M vs $1.5/M input tokens.
| Spec | GPT-3.5 Turbo | MiniMax M2-her |
|---|---|---|
| Input price | $1.5/M tokens | $0.3/M tokens |
| Output price | $2/M tokens | $1.2/M tokens |
| Context window | 16K tokens | 66K tokens |
| Released | Mar 2022 | Jan 2026 |
Not enough votes to call it. On the specs, MiniMax M2-her has the edge: bigger model tier, newer, bigger context window.
MiniMax M2-her is cheaper on both — 5.0× input, 1.7× output
MiniMax M2-her uses 198.6x more bold