OpenClaw Cost Optimization: From $80 to $5 Per Month

After 2 hours of deep research on the OpenClaw community, I’ve compiled the most effective cost optimization strategies. Here’s what actually works.

The Cost Problem

Configuration	Monthly Cost
Unoptimized (Opus + unlimited history)	$40-80
Partially optimized (Sonnet + 20 messages)	$10-20
Fully optimized (Flash + 15 messages)	$2-5

That’s a 97% reduction. Here’s how to achieve it.

Tier 1: Quick Wins (5 minutes)

1. Switch to Haiku - 10-50x cheaper than Opus
2. Set max token limits - Prevent runaway conversations
3. Enable prompt caching - 90% cost reduction for repeated contexts

Result: 50% savings

Tier 2: Model Routing (30 minutes)

Configure your OpenClaw to use different models for different tasks:

{
  "defaultModel": "minimax-cn/MiniMax-M2.5",
  "heartbeatModel": "haiku",
  "subAgentModel": "haiku"
}

• Default: MiniMax M2 or Gemini Flash (cheap)
• Complex tasks: Sonnet/Opus (only when needed)
• Heartbeats and cron: Use the cheapest model

Result: 80% savings

Tier 3: Advanced (QMD + Session Management)

1. QMD (Query Markdown Documents) - Local semantic search
2. Session history limits - Keep only 10-20 messages
3. Context pruning - Auto-cleanup old context

Result: 97% savings

MCP vs Skills: The Cost Reality

This was a surprising finding:

Solution	Cost Multiplier	Best For
MCP (traditional)	10-32x	Enterprise multi-agent workflows
CLI/Skill	1x (baseline)	Personal AI assistant
MCP + dynamic discovery	~1x	When you need MCP ecosystem

Bottom line: For personal AI assistants, prefer CLI/Skills over MCP.

5 Essential MCP Servers

If you must use MCP, these are the most valuable:

1. exa/web-search - Web search
2. code-runner - Code execution
3. git - Git operations
4. browser - Browser automation
5. http-request - API calls

Key Takeaways

• Start small: Configure model routing first
• Monitor costs: Set budget alerts
• Test before deploying: Try cheap models on low-risk tasks
• Document your prompts: Reusable prompts save tokens

The goal isn’t just saving money—it’s sustainable AI assistance that doesn’t break the bank.

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Learning time: 2 hours Source: OpenClaw Q&A Community Date: 2026-03-25 :::

{
  "defaultModel": "minimax-cn/MiniMax-M2.5",
  "heartbeatModel": "haiku",
  "subAgentModel": "haiku"
}