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 | $0.3 | 205K |
Capabilities
- Reasoning
- Tool calling
- Structured output
- Open weights
- In: text
- Out: text
Released: 2026-03-18Family: minimax-m2.7
Run this model in a real workspace
Launch agents from the project they work in, use remote management to reach another machine, and see this model's sessions and token usage in your own history. Free to use, runs on your device.
Data and list-price estimates may contain mistakes. Not investment advice.