MiniMax

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A RocketRide LLM node that connects MiniMax models to a pipeline via the MiniMax cloud API or a self-hosted OpenAI-compatible server.

What it does

Provides MiniMax chat models as an llm invoke connection for agents and other nodes that need an LLM, and can also be used directly via lanes. It works against the MiniMax cloud API or a self-hosted OpenAI-compatible server (vLLM, SGLang, MLX, or Ollama).

The MiniMax API is OpenAI-compatible, so the node uses langchain-openai (ChatOpenAI) pointed at the configured base URL, with temperature: 0 and the profile's output-token limit as max_tokens. Config validation at save time runs a minimal one-token probe through the openai SDK and surfaces provider errors as warnings.

MiniMax M2-series models return chain-of-thought wrapped in <think>...</think> inside the content field; the node strips that block so downstream pipeline nodes only see the final answer.

Lanes

Lane in	Lane out	Description
questions	answers	Send a question directly, receive a generated answer

Profiles

Default: MiniMax M2 (minimax-m2).

Profile	Model	Context	Output
minimax-m2 (default)	MiniMax-M2	204,800	65,536
minimax-m3	MiniMax-M3	1,000,000	131,072
minimax-m2-7	MiniMax-M2.7	204,800	65,536
minimax-m2-7-highspeed	MiniMax-M2.7-highspeed	204,800	65,536
minimax-m2-7-local	MiniMaxAI/MiniMax-M2.7	204,800	8,192

View 13 more models

Profile	Model	Context	Output
custom	(user-specified)	200,000	8,192
minimax-m2-1	MiniMax-M2.1	204,800	65,536
minimax-m2-1-highspeed	MiniMax-M2.1-highspeed	204,800	65,536
minimax-m2-5	MiniMax-M2.5	204,800	65,536
minimax-m2-5-highspeed	MiniMax-M2.5-highspeed	204,800	65,536
minimax-m2-local	MiniMaxAI/MiniMax-M2	204,800	8,192
minimax-m2-5-local	MiniMaxAI/MiniMax-M2.5	204,800	8,192
minimax-01	minimax-01	1,000,192	900,172
minimax-m1	minimax-m1	1,000,000	40,000
minimax-m2-her	minimax-m2-her	65,536	2,048
minimax-m2-7-free	minimax-m2.7:free	196,608	176,947
minimax-m3-batch	minimax-m3:batch	524,288	471,859
minimax-m3-free	minimax-m3:free	1,048,576	943,718

The -highspeed variants are MiniMax's faster tier of the same generation. MiniMax M3 is multimodal at the API level, though this node exposes only text.

Configuration

Choose a profile to set the model and token limits. Cloud profiles target MiniMax's API; local profiles prefill the Hugging Face model path and a local OpenAI-compatible server, while custom exposes the model, context budget, and server URL for manual configuration.

Server base URL

Use https://api.minimax.io/v1 for the international cloud API or https://api.minimaxi.com/v1 for China. Local profiles default to vLLM or SGLang at http://localhost:8000/v1; change the URL when using MLX, Ollama, or another OpenAI-compatible server.

Authentication

Cloud profiles require a MiniMax API key in apikey. The key requirement is enforced by base-URL match: if serverbase contains api.minimax (covers both api.minimax.io international and api.minimaxi.com China) and no key is set, the node raises MiniMax API key is required for cloud profiles. at startup.

Local profiles (vLLM / SGLang / MLX / Ollama) have no apikey field; local OpenAI-compatible servers accept any token, so the node passes a dummy key (sk-local-dummy-key).

Notes

Local deployment

MiniMax's open-weight M2-family models are MIT-licensed 230B-parameter MoE models with about 10B parameters active per token. They require substantial memory:

• Linux + GPU (at least 96 GB total VRAM): Run vLLM or SGLang on port 8000 and use the profile's Hugging Face model path.
• Apple Silicon Mac Studio (at least 128 GB unified memory): Run MLX on port 8080, set the server URL to http://localhost:8080/v1, and use a quantized build such as mlx-community/MiniMax-M2.7-4bit.
• Ollama on lower-memory systems: Set the server URL to http://localhost:11434/v1 and use the tag you pulled. Verify that the tag exists before configuring it.

These models do not fit on a typical laptop without aggressive quantization. M2.7 is a reasoning model whose API separates message.content from message.reasoning_content, so allow a generous output budget even for short prompts.

Upstream docs

• MiniMax platform documentation
• MiniMax API reference (OpenAI-compatible)
• MiniMax local deployment guide

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Schema

Field	Type	Description	Default
minimax.profile	string	Model MiniMax LLM model	"minimax-m2"
minimax.serverbase	string	Server base URL OpenAI-compatible base URL for the MiniMax endpoint (e.g. https://api.minimax.io/v1 for international, https://api.minimaxi.com/v1 for China).	"https://api.minimax.io/v1"
model	string	Model MiniMax model
modelTotalTokens	number	Tokens Total Tokens

Dependencies

• openai
• langchain-openai
• langchain-core
• langchain