Name: MiniMax-Text-01 API
Brand: MiniMax

Overview

What is Text 01 API?

MiniMax-Text-01 excels in long-context processing with advanced features like hybrid attention mechanisms and open-source accessibility.

Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 1,000,000 tokens / Max output: 40,000 tokens
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

Text 01 API Pricing
- Input: $0.26 / 1M tokens
- Output: $1.43 / 1M tokens

Where to Use Text 01

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%
End-to-end latency (24h median): 14.3s
Throughput (24h median): 30.5 tok/s

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

Use cases

processing and summarization of huge documents and multi-book datasets
complex reasoning and problem solving in academic, legal, and scientific domains
coding assistance and software development tools managing large codebases
vision-language applications including document question answering and data extraction
multi-agent AI systems with sustained memory and communication networks
enterprise knowledge management and legal contract analysis
creative and research-oriented large-scale text synthesis and analysis

How to use MiniMax-Text-01 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to minimax/MiniMax-Text-01.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "minimax/MiniMax-Text-01",
      "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/MiniMax-Text-01",
    "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/MiniMax-Text-01","messages":[{"role":"user","content":"Hello!"}]}'

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