Name: MiniMax M2.5 Highspeed API
Brand: MiniMax

Overview

What is MiniMax M2.5 Highspeed API?

MiniMax-M2.5 Highspeed is a low-latency, high-throughput version of MiniMax-M2.5 optimized for real-time applications.

Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 204,800 tokens / Max output: 204,800 tokens
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

MiniMax M2.5 Highspeed API Pricing
- Input: $0.78 / 1M tokens
- Output: $3.12 / 1M tokens

Where to Use MiniMax M2.5 Highspeed

Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.

Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.

Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.

Code Sample
[embed]

Uptime and performance

Uptime (24h): 100%
Uptime (7d): 100%
Availability (24h): 100%
Error rate (24h): 0%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

MiniMax M2.5 Highspeed is documented as suited for coding workflows, including code generation and refactoring.

It is also documented for agentic workflows and tool use, including complex agent tasks and API-integrated agent applications.

It is documented for search-related work, including search and browsing tasks.

It is documented for office productivity tasks, including work in Word, Excel, and PowerPoint and other general office scenarios.

How to use MiniMax M2.5 Highspeed API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to minimax/m2-5-highspeed-20260218.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "minimax/m2-5-highspeed-20260218",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "minimax/m2-5-highspeed-20260218",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"minimax/m2-5-highspeed-20260218","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.