Skip to content

MiniMax

What it is

MiniMax is a leading AI company that develops large-scale models across multiple modalities, including text, speech, video, and music. Their latest flagship models, the M2.7 series, are optimized for reasoning, coding, and multi-modal creative tasks.

What problem it solves

Provides high-performance LLMs with a particular focus on coding productivity and Agentic workflows. It offers a cost-effective alternative to global providers like Anthropic and OpenAI, especially for developers looking for high-value subscription plans that decouple cost from token-based billing.

Where it fits in the stack

LLM / Reasoning Engine / Provider. It is particularly well-suited for integration into AI coding assistants and autonomous agents through its "Token Plan" subscription model.

Typical use cases

  • AI-Assisted Coding: Using the M2.7 model for complex software engineering and "vibe coding" tasks.
  • Agentic Workflows: Leveraging the M2 series for multi-step reasoning and tool use in terminal-native agents.
  • Multimodal Generation: Creating high-quality speech, video, and music via their specialized models (e.g., Hailuo for video).

Strengths

  • M2.7 Architecture: Optimized for multi-language programming and complex code engineering with low latency.
  • Token Plan Subscription: Offers a predictable monthly cost (Starter/Plus/Max) with a 5-hour rolling reset window for requests, providing an alternative to per-token billing.
  • Broad Tool Compatibility: Native support in popular coding agents like Claude Code, Cursor, and Cline.
  • Anthropic Compatibility: Supports calling models via the Anthropic SDK, allowing for seamless integration into Claude-native workflows.

Limitations

  • Closed Source: Proprietary models available only via API.
  • Regional Focus: While globally accessible, documentation and pricing are primarily centered on the Asian market (RMB/¥).

When to use it

  • For heavy coding tasks where a fixed-cost subscription (Token Plan) is more economical than per-token billing.
  • When you need a high-performance alternative to Claude 3.5 Sonnet with compatible API structures for terminal-native agents.

When not to use it

  • If you require fully open-source models for local deployment.
  • If your workflow is strictly tied to OpenAI-specific features not supported by the Anthropic-compatible relay.

Getting started

API Key

  1. Register on the MiniMax Open Platform.
  2. Navigate to "Account Management" -> "API Keys" to create your credentials.

Installation (Python)

MiniMax is compatible with the OpenAI SDK.

pip install openai

Usage (Hello World)

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_MINIMAX_API_KEY",
    base_url="https://api.minimax.chat/v1"
)

response = client.chat.completions.create(
    model="abab6.5s-chat",
    messages=[
        {"role": "system", "content": "You are a helpful assistant"},
        {"role": "user", "content": "Explain the concept of 'Token Plan' in one sentence."}
    ]
)

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

CLI examples

Using curl

curl https://api.minimax.chat/v1/chat/completions   -H "Content-Type: application/json"   -H "Authorization: Bearer $MINIMAX_API_KEY"   -d '{
    "model": "abab6.5s-chat",
    "messages": [
      {"role": "user", "content": "Who founded MiniMax?"}
    ]
  }'

API examples

Anthropic SDK Compatibility

MiniMax also supports an Anthropic-compatible endpoint, which is useful for tools designed specifically for Claude models.

from anthropic import Anthropic

client = Anthropic(
    api_key="YOUR_MINIMAX_API_KEY",
    base_url="https://api.minimax.chat/v1/anthropic"
)

message = client.messages.create(
    model="abab6.5s-chat",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Write a Python script to calculate Fibonacci numbers."}
    ]
)
print(message.content)

Licensing and cost

  • Open Source: No
  • Cost: Paid (Subscription-based "Token Plan" and Pay-as-you-go "Credits")
  • Self-hostable: No

Sources / References

Contribution Metadata

  • Last reviewed: 2026-05-21
  • Confidence: high