Remote OpenClaw Blog
OpenClaw MiniMax Setup: MiniMax-M2.5 Configuration Guide
What changed
This post was reviewed and updated to reflect current deployment, security hardening, and operations guidance.
What should operators know about OpenClaw MiniMax Setup: MiniMax-M2.5 Configuration Guide?
Answer: MiniMax is a Chinese AI lab producing language models that compete with Western frontier models on benchmarks while offering significantly larger context windows and lower pricing. MiniMax-M2.5 handles up to 1 million tokens of context, making it uniquely suited for OpenClaw tasks involving long documents, extensive conversation histories, and batch processing. This guide covers practical deployment decisions, security.
How to connect MiniMax models including MiniMax-M2.5 to OpenClaw. Covers API access, configuration, use cases for long-context tasks, and cost optimization.
MiniMax is a Chinese AI lab producing language models that compete with Western frontier models on benchmarks while offering significantly larger context windows and lower pricing. MiniMax-M2.5 handles up to 1 million tokens of context, making it uniquely suited for OpenClaw tasks involving long documents, extensive conversation histories, and batch processing.
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What Is MiniMax and Why Does It Matter for OpenClaw?
MiniMax is one of China's leading AI companies, known for models that excel at long-context understanding and multilingual tasks. Their M2.5 model handles context windows up to 1 million tokens — roughly 750,000 words — which is significantly larger than most competing models.
For OpenClaw operators, this means you can feed entire codebases, lengthy legal documents, full meeting transcript archives, or weeks of conversation history into a single prompt. Tasks that previously required chunking and summarization can now be processed in one pass.
MiniMax also prices aggressively. Per-token costs are typically 3-5x lower than Claude Opus or GPT-4o, making it an attractive option for high-volume OpenClaw deployments or cost-sensitive use cases.
How Do You Get MiniMax API Access?
There are two paths to access MiniMax models for OpenClaw:
Direct API: Create an account at the MiniMax platform, generate an API key, and configure OpenClaw to use their endpoint directly. This gives you the lowest latency and full access to all model parameters.
Through a gateway: Access MiniMax through OpenRouter or the Vercel AI Gateway. This is simpler if you already use a gateway for other models, and avoids managing an additional API key.
For most OpenClaw operators, the gateway path is easier. If you already have OpenRouter configured, you can add MiniMax as a model option with zero additional setup.
How Do You Configure OpenClaw for MiniMax?
For direct API access, configure OpenClaw with the MiniMax endpoint:
{
"llm": {
"provider": "openai-compatible",
"base_url": "https://api.minimax.chat/v1",
"api_key": "${MINIMAX_API_KEY}",
"model": "MiniMax-M2.5"
}
}
For access through OpenRouter:
{
"llm": {
"provider": "openai-compatible",
"base_url": "https://openrouter.ai/api/v1",
"api_key": "${OPENROUTER_API_KEY}",
"model": "minimax/minimax-m2.5"
}
}
Set your environment variable and restart OpenClaw. Test with a long-context task to verify the connection: paste a lengthy document and ask for a summary.
What Are the Best MiniMax Use Cases in OpenClaw?
MiniMax shines in specific OpenClaw workflows where its strengths — long context, low cost, multilingual support — matter most:
- Document summarization: Feed entire contracts, reports, or transcripts and get comprehensive summaries without chunking.
- Translation workflows: Translate long documents between English, Chinese, Japanese, Korean, and European languages with strong accuracy.
- Conversation history analysis: Analyze weeks of chat history to identify patterns, extract action items, or generate retrospectives.
- Batch content processing: Process large batches of emails, support tickets, or social posts at lower cost than commercial alternatives.
- Knowledge base queries: Load entire knowledge bases into context for accurate Q&A without RAG complexity.
For general-purpose assistant tasks (scheduling, quick lookups, short content drafting), Claude or GPT remains the better choice. Use MiniMax where its long context and low cost provide a clear advantage.
How Much Does MiniMax Cost With OpenClaw?
| Model | Input Cost (per 1M tokens) | Output Cost (per 1M tokens) | Typical Monthly (moderate use) |
|---|---|---|---|
| MiniMax-M2.5 | $1-2 | $3-5 | $8-15 |
| Claude Sonnet | $3 | $15 | $15-30 |
| GPT-4o | $2.50 | $10 | $15-30 |
For long-context tasks where you are sending large amounts of input data, MiniMax's cost advantage is significant. A task that costs $5 with Claude might cost $1-2 with MiniMax. Over a month of daily use, this adds up to meaningful savings.
FAQ
What is MiniMax and why would I use it with OpenClaw?
MiniMax is a Chinese AI lab that produces competitive language models with very large context windows and strong multilingual support. MiniMax-M2.5 offers up to 1 million tokens of context at significantly lower prices than comparable Western models, making it ideal for OpenClaw tasks involving long documents or extensive conversation history.
Does MiniMax-M2.5 work well for English-language OpenClaw tasks?
Yes. While MiniMax originated as a Chinese AI company, MiniMax-M2.5 performs well in English across most assistant tasks. It is particularly strong for summarization, translation, and long-document analysis. For nuanced English writing, Claude or GPT may still produce slightly better results.
How does MiniMax pricing compare to Claude and GPT for OpenClaw?
MiniMax-M2.5 is significantly cheaper than Claude Opus and GPT-4o, often 3-5x lower per token. For high-volume OpenClaw deployments or tasks requiring large context windows, MiniMax can reduce monthly API costs from $30-50 to $10-15 without a major quality drop.
Can I access MiniMax through a gateway or do I need a direct API key?
You can access MiniMax directly through their API or through gateways like OpenRouter and the Vercel AI Gateway. Using a gateway simplifies setup if you already have one configured for OpenClaw, and lets you use MiniMax alongside other models without managing a separate API key.
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*Last updated: March 2026. Published by the Remote OpenClaw team at remoteopenclaw.com.*
Frequently Asked Questions
What is MiniMax and why would I use it with OpenClaw?
MiniMax is a Chinese AI lab that produces competitive language models with very large context windows and strong multilingual support. MiniMax-M2.5 offers up to 1 million tokens of context at significantly lower prices than comparable Western models, making it ideal for OpenClaw tasks involving long documents or extensive conversation history.
Does MiniMax-M2.5 work well for English-language OpenClaw tasks?
Yes. While MiniMax originated as a Chinese AI company, MiniMax-M2.5 performs well in English across most assistant tasks. It is particularly strong for summarization, translation, and long-document analysis. For nuanced English writing, Claude or GPT may still produce slightly better results.
Can I access MiniMax through a gateway or do I need a direct API key?
You can access MiniMax directly through their API or through gateways like OpenRouter and the Vercel AI Gateway. Using a gateway simplifies setup if you already have one configured for OpenClaw, and lets you use MiniMax alongside other models without managing a separate API key.
