# MiniMax-M2.7-highspeed

> MiniMax's high-speed model for polyglot coding and precision refactoring, with significantly faster inference.

## Key facts

- Model author: MiniMax
- Input: $0.60 per 1M tokens
- Output: $2.40 per 1M tokens
- Cached input: $0.06 per 1M tokens
- Context window: 204,800 tokens
- Input modalities: text
- Output modalities: text
- Capabilities: reasoning, tools
- Model IDs: `minimax/MiniMax-M2.7-highspeed`
- Model page: https://www.realrelay.ai/model/minimax/minimax-m2.7-highspeed

## Overview

MiniMax-M2.7-highspeed is the high-speed variant in MiniMax's model line. MiniMax says it delivers the same performance as the standard version with significantly faster inference. Its documented strengths are polyglot code mastery, precision code refactoring and low latency, and it supports reasoning and tool calling with text input and output.

It has a 204,800-token context window. It accepts text input and returns text.

## Capabilities

The distinguishing feature is speed. MiniMax-M2.7-highspeed keeps reasoning and tool calling, and its faster inference reduces waiting time in interactive tools and in agents that chain many steps.

It offers a 204,800-token context window for code and logs, and cached input reads are billed at a lower rate than regular input.

## Pricing

MiniMax-M2.7-highspeed is priced at $0.60 per 1M input tokens and $2.40 per 1M output tokens. Cached input reads cost $0.06 per 1M tokens.

MiniMax-M2.7-highspeed is available through RealRelay's OpenAI-compatible API.

## Use cases

Use MiniMax-M2.7-highspeed for polyglot coding assistants, where a developer moves between languages and expects quick, accurate suggestions inside the editor. Quicker responses mean less time spent waiting for each suggestion.

It also suits automated refactoring pipelines that process many files, since lower latency keeps the whole run shorter without changing the model's performance.

## Call it

OpenAI-compatible chat completions:

```bash
curl https://www.realrelay.ai/v1/chat/completions \
  -H "Authorization: Bearer $REALRELAY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "minimax/MiniMax-M2.7-highspeed", "messages": [{"role": "user", "content": "Hello"}]}'
```

## FAQ

### What is MiniMax-M2.7-highspeed?

MiniMax-M2.7-highspeed is the high-speed variant in MiniMax's model line. MiniMax says it delivers the same performance as the standard version with significantly faster inference. Its documented strengths are polyglot code mastery, precision code refactoring and low latency, and it supports reasoning and tool calling with text input and output.

### How much does MiniMax-M2.7-highspeed cost?

MiniMax-M2.7-highspeed is priced at $0.60 per 1M input tokens and $2.40 per 1M output tokens. Cached input reads cost $0.06 per 1M tokens.

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

MiniMax-M2.7-highspeed has a 204,800-token context window.

### What inputs and outputs does MiniMax-M2.7-highspeed support?

MiniMax-M2.7-highspeed accepts text input and returns text.

### Is MiniMax-M2.7-highspeed faster than the standard version?

MiniMax says MiniMax-M2.7-highspeed offers the same performance as the standard version with significantly faster inference and low latency.

### What is MiniMax-M2.7-highspeed used for?

Use MiniMax-M2.7-highspeed for polyglot coding assistants, where a developer moves between languages and expects quick, accurate suggestions inside the editor. Quicker responses mean less time spent waiting for each suggestion.

### How do I call MiniMax-M2.7-highspeed through the API?

Call MiniMax-M2.7-highspeed through RealRelay's OpenAI-compatible API by setting the model field to minimax/MiniMax-M2.7-highspeed.