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"MiniMax M2 API Complete Guide: Build with MiniMax's Flagship Model"

"MiniMax M2 API Complete Guide: Build with MiniMax's Flagship Model"

C
Crazyrouter Team
February 26, 2026
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MiniMax M2 is the flagship language model from MiniMax (also known as Hailuo AI), one of China's leading AI companies. With strong multilingual capabilities, competitive pricing, and impressive performance on both Chinese and English benchmarks, M2 has become a compelling alternative to Western frontier models — especially for applications targeting Asian markets.

This guide covers everything developers need to know to integrate MiniMax M2 into their applications.

What Is MiniMax M2?#

MiniMax is a Chinese AI company backed by Tencent, known for their Hailuo AI video generation platform and their language model series. M2 is their latest and most capable model, designed for both consumer and enterprise applications.

Key Features#

FeatureMiniMax M2
Context Window256K tokens
Max Output16K tokens
LanguagesChinese, English, Japanese, Korean + more
Vision✅ Image understanding
Tool Use✅ Function calling
Streaming✅ Real-time output
JSON Mode✅ Structured output
Chinese Performance⭐⭐⭐⭐⭐ Top-tier
English Performance⭐⭐⭐⭐ Competitive

What Makes M2 Stand Out?#

  1. 256K Context Window: One of the largest context windows available, ideal for document analysis and long conversations.

  2. Bilingual Excellence: Unlike most Chinese models that sacrifice English quality, M2 performs competitively in both Chinese and English.

  3. Cost-Effective: Significantly cheaper than GPT-5 or Claude Opus while delivering strong performance.

  4. Hailuo Integration: Native integration with MiniMax's video and audio generation capabilities.

MiniMax M2 vs Alternatives#

FeatureMiniMax M2GPT-5-miniClaude Sonnet 4.5DeepSeek V3.2
Context256K128K200K128K
Chinese Quality⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
English Quality⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
Coding⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
Vision
Input Price (1M)$0.50$0.40$3.00$0.27
Output Price (1M)$2.00$1.60$15.00$1.10
Open Source

Best for: Chinese-language applications, bilingual chatbots, long-context document processing, and cost-sensitive deployments.

How to Use MiniMax M2 API#

Getting Access#

MiniMax M2 is available through:

  1. MiniMax Platform (platform.minimaxi.com) — Direct access, requires Chinese phone number
  2. Crazyrouter (recommended) — OpenAI-compatible API, no Chinese account needed

Python Example#

python
from openai import OpenAI

# Using Crazyrouter for MiniMax M2
client = OpenAI(
    api_key="your-crazyrouter-api-key",
    base_url="https://api.crazyrouter.com/v1"
)

# Basic chat completion
response = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {"role": "system", "content": "You are a helpful bilingual assistant fluent in Chinese and English."},
        {"role": "user", "content": "Explain the concept of 'prompt engineering' in both English and Chinese."}
    ],
    max_tokens=2048,
    temperature=0.7
)

print(response.choices[0].message.content)

Chinese Language Tasks#

python
# MiniMax M2 excels at Chinese NLP tasks
response = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {"role": "system", "content": "你是一位专业的中文内容创作者。"},
        {"role": "user", "content": "请写一篇关于人工智能在教育领域应用的文章,800字左右,包含具体案例。"}
    ],
    max_tokens=4096
)

print(response.choices[0].message.content)

Node.js Example#

javascript
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your-crazyrouter-api-key',
  baseURL: 'https://api.crazyrouter.com/v1',
});

// Long context document analysis
const longDocument = '...'; // Your 100K+ token document

const response = await client.chat.completions.create({
  model: 'MiniMax-M2',
  messages: [
    {
      role: 'system',
      content: 'Analyze the following document and provide a structured summary with key findings.',
    },
    { role: 'user', content: longDocument },
  ],
  max_tokens: 4096,
});

console.log(response.choices[0].message.content);

cURL Example#

bash
curl https://api.crazyrouter.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-crazyrouter-api-key" \
  -d '{
    "model": "MiniMax-M2",
    "messages": [
      {"role": "user", "content": "Compare React and Vue.js for a new project in 2026."}
    ],
    "max_tokens": 2048
  }'

Streaming Response#

python
stream = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {"role": "user", "content": "Write a detailed guide to setting up a Kubernetes cluster."}
    ],
    max_tokens=4096,
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

Function Calling#

python
import json

tools = [
    {
        "type": "function",
        "function": {
            "name": "search_products",
            "description": "Search for products in the catalog",
            "parameters": {
                "type": "object",
                "properties": {
                    "query": {"type": "string", "description": "Search query"},
                    "category": {"type": "string", "enum": ["electronics", "clothing", "food"]},
                    "max_price": {"type": "number", "description": "Maximum price in USD"}
                },
                "required": ["query"]
            }
        }
    }
]

response = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {"role": "user", "content": "Find me wireless headphones under $100"}
    ],
    tools=tools,
    tool_choice="auto"
)

if response.choices[0].message.tool_calls:
    tool_call = response.choices[0].message.tool_calls[0]
    args = json.loads(tool_call.function.arguments)
    print(f"Function: {tool_call.function.name}")
    print(f"Arguments: {args}")

MiniMax M2 Pricing#

Official MiniMax Pricing#

ComponentPrice (per 1M tokens)
Input¥3.50 (~$0.50)
Output¥14.00 (~$2.00)
Cached Input¥0.88 (~$0.13)

Crazyrouter Pricing#

ComponentPriceSavings
Input$0.35 / 1M tokens30%
Output$1.40 / 1M tokens30%

Cost Comparison for Common Tasks#

TaskMiniMax M2GPT-5-miniClaude Sonnet 4.5
Chatbot (1K in / 500 out)$0.0015$0.0012$0.0105
Translation (5K in / 5K out)$0.0125$0.0100$0.0900
Document analysis (100K in / 2K out)$0.054$0.043$0.330
Daily usage (500 requests)$0.75$0.60$5.25

MiniMax M2 offers excellent value — comparable to GPT-5-mini pricing with stronger Chinese language capabilities.

Use Cases Where M2 Excels#

1. Bilingual Customer Support#

python
# M2 handles code-switching naturally
response = client.chat.completions.create(
    model="MiniMax-M2",
    messages=[
        {"role": "system", "content": "You are a bilingual customer support agent. Respond in the same language the customer uses."},
        {"role": "user", "content": "我想退货,order number是 #12345,但是I can't find the return page."}
    ],
    max_tokens=1024
)

2. Chinese Content Generation#

M2 produces natural, culturally appropriate Chinese content — better than most Western models that tend to produce "translated-sounding" Chinese.

3. Long Document Processing#

With 256K context, M2 can process entire books, legal documents, or codebases in a single request.

4. Asian Market Applications#

For apps targeting Chinese, Japanese, or Korean users, M2's multilingual Asian language support is a significant advantage.

Frequently Asked Questions#

What is MiniMax M2?#

MiniMax M2 is the flagship language model from MiniMax (Hailuo AI), a leading Chinese AI company. It features a 256K context window, strong bilingual (Chinese/English) capabilities, and competitive pricing.

How does MiniMax M2 compare to GPT-5?#

M2 is significantly cheaper than GPT-5 and offers superior Chinese language performance. For English-only tasks, GPT-5 generally produces higher quality output. M2 is best for bilingual applications and cost-sensitive deployments.

Can I use MiniMax M2 without a Chinese account?#

Yes! Through Crazyrouter, you can access MiniMax M2 with a standard API key — no Chinese phone number or MiniMax account required.

Is MiniMax M2 good for coding?#

M2 is competent at coding tasks but not best-in-class. For coding-heavy workloads, Claude Sonnet 4.5 or DeepSeek V3.2 are better choices. M2 shines in language tasks, especially Chinese.

What's the difference between MiniMax and Hailuo AI?#

They're the same company. MiniMax is the corporate name, while Hailuo AI (海螺AI) is their consumer-facing brand, known for the popular Hailuo video generation platform.

How do I access MiniMax M2 API?#

The easiest way is through Crazyrouter: sign up, get an API key, and use model name MiniMax-M2 with the OpenAI-compatible endpoint.

Summary#

MiniMax M2 fills an important niche in the AI model landscape — offering top-tier Chinese language capabilities, a massive 256K context window, and competitive pricing. For developers building bilingual applications or targeting Asian markets, it's an excellent choice.

Access MiniMax M2 alongside 300+ other models through Crazyrouter with a single API key and 30% savings.

Get started: Sign up at Crazyrouter and start building with MiniMax M2 today.

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