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Model Overview

MiniMax offers multiple text models to meet different scenario requirements. MiniMax-M2.1 focuses on multilingual programming and office scenarios, while MiniMax-M2 is built for efficient coding and Agent workflows.

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Supported Models

Model NameContext WindowDescription
MiniMax-M2.1204,800Powerful Multi-Language Programming Capabilities with Comprehensively Enhanced Programming Experience (output speed approximately 60 tps)
MiniMax-M2.1-lightning204,800Faster and More Agile (output speed approximately 100 tps)
MiniMax-M2204,800Agentic capabilities, Advanced reasoning

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MiniMax M2.1 Key Highlights

Many models in the past primarily focused on Python optimization, but real-world systems are often the result of multi-language collaboration. In M2.1, we have systematically enhanced capabilities in Rust, Java, Golang, C++, Kotlin, Objective-C, TypeScript, JavaScript, and other languages. The overall performance on multi-language tasks has reached industry-leading levels, covering the complete chain from low-level system development to application layer development.
Addressing the widely recognized weakness in mobile development across the industry, M2.1 significantly strengthens native Android and iOS development capabilities. Meanwhile, we have systematically enhanced the model’s design comprehension and aesthetic expression in Web and App scenarios, enabling excellent construction of complex interactions, 3D scientific scene simulations, and high-quality visualization.
As one of the first open-source model series to systematically introduce Interleaved Thinking, M2.1’s systematic problem-solving capabilities have been further upgraded. The model not only focuses on code execution correctness but also emphasizes integrated execution of “composite instruction constraints,” providing higher usability in real office scenarios.
Compared to M2, MiniMax-M2.1 delivers more concise model responses and thought chains. In practical programming and interaction experiences, response speed has significantly improved and token consumption has notably decreased, resulting in smoother and more efficient performance in AI Coding and Agent-driven continuous workflows.
M2.1 demonstrates excellent performance across various programming tools and Agent frameworks. It exhibits consistent and stable results in tools such as Claude Code, Droid (Factory AI), Cline, Kilo Code, Roo Code, and provides reliable support for Context Management mechanisms including Skill.md, Claude.md/agent.md/cursorrule, and Slash Commands.
For more model details, please refer to MiniMax M2.1

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Calling Example

1

Install Anthropic SDK (Recommended)

pip install anthropic
2

Set Environment Variables

export ANTHROPIC_BASE_URL=https://api.minimax.io/anthropic
export ANTHROPIC_API_KEY=${YOUR_API_KEY}
3

Call MiniMax-M2.1

Python
import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
    model="MiniMax-M2.1",
    max_tokens=1000,
    system="You are a helpful assistant.",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Hi, how are you?"
                }
            ]
        }
    ]
)

for block in message.content:
    if block.type == "thinking":
        print(f"Thinking:\n{block.thinking}\n")
    elif block.type == "text":
        print(f"Text:\n{block.text}\n")
4

Example Output

{
  "thinking": "The user is just greeting me casually. I should respond in a friendly, professional manner.",
  "text": "Hi there! I'm doing well, thanks for asking. I'm ready to help you with whatever you need today—whether it's coding, answering questions, brainstorming ideas, or just chatting. What can I do for you?"
}

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API Reference

Anthropic API Compatible (Recommended)

Call MiniMax models via Anthropic SDK, supporting streaming output and Interleaved Thinking

OpenAI API Compatible

Call MiniMax models via OpenAI SDK

Text Generation

Call text generation API directly via HTTP requests

Using M2.1 in AI Coding Tools

Use M2.1 in Claude Code, Cursor, Cline and other tools

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Contact Us

If you encounter any issues while using MiniMax models:
  • Contact our technical support team through official channels such as email [email protected]
  • Submit an Issue on our Github repository