LLM Comparison
MiniMax M2-her vs MiniMax M2.7
Side-by-side specs, pricing & capabilities · Updated April 2026
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2/6 modelsSame tier:
M MiniMax M2-her | M MiniMax M2.7 | |
|---|---|---|
| Organization | MiniMax | MiniMax |
| OpenTools Score | ||
| Family | MiniMax | MiniMax |
| Status | Current | Current |
| Release Date | Jan 2026 | Mar 2026 |
| Context Window | 66K tokens | 197K tokens |
| Input Price | $0.30/M tokens | $0.30/M tokens |
| Output Price | $1.20/M tokens | $1.20/M tokens |
| Pricing Notes | Cache read: $0.0300/M tokens | Cache read: $0.0590/M tokens |
| Capabilities | textcode | textcode |
| Max Output | 2K tokens | — |
| API Identifier | minimax/minimax-m2-her | minimax/minimax-m2.7 |
| View MiniMax M2-her | View MiniMax M2.7 |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMax M2-herCheapest | $0.30 | $0.60 | $0.90 | — |
| MiniMax M2.7Cheapest | $0.30 | $0.60 | $0.90 | — |
MiniMax
MiniMax M2-her
MiniMax M2-her is a large language model from MiniMax. Supports up to 65,536 token context window. Available from $0.30/M input tokens.
MiniMax
MiniMax M2.7
MiniMax M2.7 is a large language model from MiniMax. Supports up to 196,608 token context window. Available from $0.30/M input tokens.
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