MiniMax M2 | MiniMax Efficient Coding API

Name: Minimax M2 API
Brand: minimax
Price: 0.3 USD
Availability: InStock

Penggunaan API

Gunakan contoh kode berikut untuk integrasi dengan API kami:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="minimax/minimax-m2",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Pengenalan Model

Minimax minimax-m2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows.

Why It Looks Great

MoE (Mixture of Experts) architecture for efficient processing
196608 context window for long document handling
Competitive pricing at $0.3/$1.1 per million tokens

Key Features

Context Window: 196608 tokens
Max Output: 65536 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Minimax
Model Type	Large Language Model (LLM)
Architecture	MoE (Mixture of Experts)
Context Window	196608 tokens
Max Output	65536 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.3
Output	$1.1

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: minimax/minimax-m2

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="minimax/minimax-m2",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "minimax/minimax-m2",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: minimax/minimax-m2
Provider: Minimax

Pertanyaan Umum tentang Minimax M2

Berapa biaya Minimax M2 melalui API?+

Harga di WaveSpeedAI: $0.30 per juta token input dan $1.20 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.

Berapa context window Minimax M2?+

Minimax M2 mendukung hingga 197K token konteks dengan hingga 197K token output per permintaan.

Apakah Minimax M2 kompatibel dengan OpenAI?+

Ya. WaveSpeedAI menyediakan Minimax M2 melalui endpoint yang kompatibel dengan OpenAI di https://llm.wavespeed.ai/v1. Arahkan OpenAI SDK resmi ke base URL ini dengan API key WaveSpeedAI Anda — tanpa perubahan kode lainnya.

Bagaimana memulai dengan Minimax M2?+

Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id seperti ditampilkan di atas. Akun baru menerima kredit gratis untuk menguji Minimax M2.

Harga

Coba model