MiniMax M2

MiniMax chatreasoningtool_use

API ID: minimax/minimax-m2

Input Price
$0.20
/1M tokens
Output Price
$1.00
/1M tokens

About MiniMax M2

MiniMax 01 is MiniMax's flagship language model, delivering strong performance across reasoning, coding, and creative tasks. The model features competitive capability with efficient architecture, enabling practical deployment. MiniMax 01 excels at general conversation, content generation, and analysis tasks. It demonstrates good performance on major benchmarks and supports various enterprise use cases. The model is particularly valuable for applications serving Chinese-speaking markets. For organizations seeking capable AI from a leading Chinese AI company, MiniMax 01 offers reliable performance. It's well-suited for chatbots, content platforms, and business automation.

๐Ÿ’ฐ
Price Ranking
#426 lowest price among 599 Chat models

Model Specifications

Context Length
197k
Max Output
66k
Release Date
2025-10-23
Capabilities
chat reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.39
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$12.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$16.50
/month
500 analyses/day, ~2k tokens each

MiniMax Model Lineup

Compare all models from MiniMax to find the best fit

Model Input Output Context Capabilities
MiniMax M2 Current $0.20 $1.00 197k chat reasoning tool_use
MiniMax-01 $0.20 $1.10 1.0M chat vision tool_use
MiniMax M2.1 $0.28 $1.20 197k chat reasoning tool_use
MiniMax M1 $0.40 $2.20 1.0M chat reasoning tool_use

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๐Ÿš€ Quick Start

Get started with MiniMax M2 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="minimax/minimax-m2",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)