Available Models

MiniMax-M2 offers two production-ready models optimized for different development workflows. Both models share the same sparse MoE architecture with 230B total parameters and 10B active per token.

Quick Comparison

MiniMax-M2

Model ID: MiniMax-M2 Released: October 27, 2025

Strengths

• ✅ Agent-First Design: Reliable coordination of Shell, Browser, Python interpreter, and MCP tools
• ✅ Tool Integration: Industry-leading tool-use performance, matches top overseas models
• ✅ Deep Search: Near best-in-class research and information retrieval capabilities
• ✅ Production Stability: Internally validated by MiniMax engineering teams before release
• ✅ Fast Inference: ~100 tokens/second throughput for responsive interactions
• ✅ Cost Efficiency: Balanced intelligence, speed, and affordability

Ideal Use Cases

• Python and JavaScript-heavy agent workflows
• Cost-sensitive production deployments
• Shell automation and CLI tool orchestration
• Browser automation and web scraping tasks
• General-purpose coding assistance
• Teams prioritizing inference speed over specialized language support

Supported Platforms

• OpenAI-compatible Chat Completions API
• Claude-compatible Messages API
• Claude Code, Cline, Kilo Code, RooCode, BlackBox
• Factory AI's Droid

MiniMax-M2.1

Model ID: MiniMax-M2.1 Released: December 23, 2025

Major Improvements Over M2

🌍 Systematically Enhanced Multi-Language Programming

Strong performance across Rust, Java, Golang, C++, Kotlin, Objective-C, TypeScript, JavaScript, and more. Achieves industry-leading multilingual capabilities, surpassing Claude Sonnet 4.5 and approaching Claude Opus 4.5 in multi-language scenarios.

⚡ Efficiency Revolution

Generates more concise responses and thought chains, significantly reducing token consumption while improving response speed. Delivers higher quality with lower operational costs.

📱 Native Mobile Development

Substantially strengthened native Android and iOS development capabilities. Enhanced understanding of platform-specific patterns, frameworks, and best practices.

🎨 Design & Aesthetic Comprehension

Improved aesthetic judgment for web applications, better alignment with modern design principles and user experience standards.

🏢 Office & Composite Workflows

Enhanced handling of composite instruction constraints for office scenarios, supporting complex multi-step business processes.

Benchmark Highlights

• VIBE Aggregate: 88.6 (Visual & Interactive Benchmark for Evaluation)
  • VIBE-Web: 91.5
  • VIBE-Android: 89.7
• SWE-bench Verified: Strong framework generalization across diverse agent tooling
• Multilingual Scenarios: Outperforms Claude Sonnet 4.5, approaches Claude Opus 4.5

Ideal Use Cases

• Multi-language codebases (Rust, Java, Golang, C++, etc.)
• Native Android and iOS application development
• Web applications requiring strong design sensibility
• Complex office automation and business workflows
• Teams prioritizing output quality and token efficiency
• Projects requiring broad framework and language support

Supported Platforms

• OpenAI-compatible Chat Completions API
• Claude-compatible Messages API
• Claude Code, Cline, Kilo Code, RooCode, BlackBox
• Factory AI's Droid
• GUI automation via text commands

How to Choose

Choose MiniMax-M2 if you:

• Primarily work with Python and JavaScript
• Need fast, stable agent workflows with proven reliability
• Prioritize inference speed for interactive applications
• Run cost-sensitive production workloads

Choose MiniMax-M2.1 if you:

• Develop in Rust, Java, Golang, C++, Kotlin, or Objective-C
• Build native Android or iOS applications
• Require higher output quality with lower token costs
• Work on web applications where design matters
• Handle complex multi-step business processes

How to Specify Models

Pass the model field in your API request:

Chat Completions (OpenAI format)

{
  "model": "MiniMax-M2.1",
  "messages": [
    { "role": "user", "content": "Write a Rust function for async HTTP requests" }
  ]
}

Messages API (Claude format)

{
  "model": "MiniMax-M2.1",
  "system": "You are an expert Android developer.",
  "messages": [
    { "role": "user", "content": "Implement a Material 3 bottom sheet" }
  ],
  "max_tokens": 2048
}

Default Behavior

If the model field is omitted, requests default to MiniMax-M2.1 for enhanced multi-language capabilities and improved efficiency.

Pricing

Both models use identical pricing:

Usage charges appear in your billing dashboard with per-model breakdowns, allowing you to track consumption across M2 and M2.1 independently.

Recommended Parameters

For optimal performance with both models:

{
  "temperature": 1.0,
  "top_p": 0.95,
  "top_k": 40
}

Adjust temperature downward (0.3–0.7) for deterministic outputs in compliance-sensitive or production-critical scenarios.

Access Methods

API Integration:

• OpenAI SDK: Set base_url to https://minimax-m2.com/api/v1/
• Anthropic SDK: Set base_url to https://minimax-m2.com/api/

Direct API:

• Chat Completions Endpoint
• Messages Endpoint

Developer Tools:

• Claude Code Configuration
• Codex Integration

Migration Notes

Switching from M2 to M2.1

1. Update the model field: Change "MiniMax-M2" to "MiniMax-M2.1" in your request body
2. No API changes required: Both models support identical endpoint contracts
3. Monitor token usage: M2.1's concise responses may reduce your token consumption
4. Test prompts: M2.1's enhanced capabilities may produce different (often better) outputs for the same inputs

Backward Compatibility

All M2 prompts, system messages, and tool configurations work unchanged with M2.1. You can switch models without modifying application logic.

Official Resources

• M2 Announcement: https://www.minimax.io/news/minimax-m2
• M2.1 Announcement: https://www.minimax.io/news/minimax-m21
• API Documentation: https://platform.minimax.io/docs/guides/text-generation
• Agent Product: https://agent.minimax.io/
• Open-source Weights: HuggingFace (MiniMaxAI organization)