MiniMax: M2.7 Turbo
Efficient MiniMax model for quick assistance, coding, and routine automation
Cheapest input
$0.38
$/MTok · LiteLLM
Cheapest output
$1.70
$/MTok
Context
205K
tokens
Sources
2
4 listings
Price changes
Cheapest list input/output only. Rates move rarely, so this is an event log. Down means cheaper. Showing the 8 latest changes.
- ↓ lowerOutput $2.40 → $1.70
- ↓ lowerInput $0.6 → $0.38
Sources
Same model, different sources. Our first-party rate is listed first, then router and aggregator rows stay separate so you can see the spread instead of a single blended number.
| Source | Provider | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| LiteLLMcheapestMiniMax-M2.7-Turbo | N/A | $0.38 | $1.70 | $0.07 | N/A |
| LiteLLMcheapestMiniMaxAI/MiniMax-M2.7-Turbo | N/A | $0.38 | $1.70 | $0.07 | N/A |
| LiteLLMcheapestdeepinfra/MiniMaxAI/MiniMax-M2.7-Turbo | N/A | $0.38 | $1.70 | $0.07 | N/A |
| models.devminimax/minimax-m2.7-turbo | NanoGPT | $0.6 | $2.40 | $0.06 | 205K |
Capabilities
- Reasoning
- Tool calling
- Structured output
- Open weights
- In: text
- Out: text
Released: 2026-03-18Family: minimax-m2.7
See what this model costs you
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