# MiniMax M2.7 Turbo API Pricing

As of October 10, 2026, MiniMax M2.7 Turbo costs $0.38 per 1M input tokens and $1.70 per 1M output tokens on DeepInfra, with cache reads at $0.07 per 1M tokens. It has a 196,608-token context window.

- Page: https://models.litellm.ai/models/minimax-m2.7-turbo
- Lab: MiniMax
- LiteLLM model name: `deepinfra/MiniMaxAI/MiniMax-M2.7-Turbo`
- Context window: 196,608 tokens
- Added to LiteLLM: August 27, 2026
- Prices updated: October 10, 2026

## Pricing by provider

Token prices in USD per 1M tokens.

| Provider | Model name | Input | Output | Cache read | Per image | Per second | Context |
|---|---|---|---|---|---|---|---|
| DeepInfra | `deepinfra/MiniMaxAI/MiniMax-M2.7-Turbo` | $0.38 | $1.70 | $0.07 | – | – | 192K |

## Cost examples

1,000 requests with 2,000 input and 500 output tokens each:

- DeepInfra: $1.61

100 long-document requests with 100,000 input and 2,000 output tokens each:

- DeepInfra: $4.14

## Features

Supported: Function calling, Structured output, Reasoning, Prompt caching.
Not supported: Image input.

## Use it with LiteLLM

```python
from litellm import completion

response = completion(
    model="deepinfra/MiniMaxAI/MiniMax-M2.7-Turbo",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

## FAQ

### How much does MiniMax M2.7 Turbo cost?

MiniMax M2.7 Turbo costs $0.38 per 1M input tokens and $1.70 per 1M output tokens on DeepInfra, with cache reads at $0.07 per 1M tokens.

### What is the context window of MiniMax M2.7 Turbo?

MiniMax M2.7 Turbo has a 196,608-token context window.

### Which providers offer MiniMax M2.7 Turbo?

MiniMax M2.7 Turbo is available from DeepInfra through LiteLLM, using the model name deepinfra/MiniMaxAI/MiniMax-M2.7-Turbo.

### How do I call MiniMax M2.7 Turbo with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="deepinfra/MiniMaxAI/MiniMax-M2.7-Turbo", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

### What features does MiniMax M2.7 Turbo support?

MiniMax M2.7 Turbo supports function calling, structured output, reasoning and prompt caching. It does not support image input.

### When did LiteLLM add MiniMax M2.7 Turbo?

MiniMax M2.7 Turbo was added to LiteLLM's model price file on August 27, 2026.

Source: LiteLLM model price file, https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json