OpenClaw Costs Explained: How Much Does It Really Cost to Run?
OpenClaw is free and open source. But running AI agents is not free. Every API call, every heartbeat, every server hour has a price. Here is a full breakdown of what it actually costs to run 1, 3, or 10 agents in production.
The Real Cost of “Free” Software
OpenClaw costs $0 to download and install. You can clone the repo, set up your first agent with a SOUL.md file, and start chatting in under 10 minutes. The framework is genuinely free.
But the moment your agent sends a message to Claude or GPT-4o, the meter starts running. And if you enable heartbeats so your agent runs autonomously, those API calls add up fast. Most people underestimate the cost because they think about individual queries ($0.02-0.05 each) without considering how many queries an autonomous agent makes per day.
Let us break down every cost component so you know exactly what to expect before you scale up.
1. API Costs: The Biggest Line Item
Every time your agent thinks, it makes an API call to an LLM provider. The cost depends on which model you use, how much context you send, and how long the response is. Here are the current prices per million tokens:
| Model | Input/MTok | Output/MTok | Typical Query |
|---|---|---|---|
| Claude Haiku | $1.00 | $5.00 | ~$0.02 |
| Claude Sonnet | $3.00 | $15.00 | ~$0.07 |
| Claude Opus | $15.00 | $75.00 | ~$0.36 |
| GPT-4o | $2.50 | $10.00 | ~$0.05 |
| GPT-4o Mini | $0.15 | $0.60 | ~$0.005 |
The “Typical Query” column assumes a 15K token context with a 500 token response. Your actual costs depend on your agent's SOUL.md size, loaded skills, and conversation history.
Output tokens cost 3-5x more than input tokens
An agent that generates long responses (reports, code, analysis) will cost significantly more than one that returns short answers. If your agent writes 2,000 token responses on Sonnet, each response alone costs $0.03 in output tokens.
2. Heartbeat Costs: The Silent Budget Killer
Heartbeats are what make OpenClaw agents autonomous. Every 15 minutes (by default), each agent wakes up, checks for new tasks, and decides what to do. Each heartbeat is an API call. Even if there is nothing to do, the agent still pays for the “check and decide” step.
Let us do the math for different setups:
| Setup | Calls/Day | Haiku/Month | Sonnet/Month |
|---|---|---|---|
| 1 agent, 15-min heartbeat | 96 | ~$58 | ~$202 |
| 3 agents, 15-min heartbeat | 288 | ~$173 | ~$605 |
| 10 agents, 15-min heartbeat | 960 | ~$576 | ~$2,016 |
| 10 agents, 30-min heartbeat | 480 | ~$288 | ~$1,008 |
That is just heartbeats. No actual work, no complex queries. Just the agent waking up and going “nothing to do” every 15 minutes. This is why heartbeat frequency is the single most important cost lever for autonomous agents.
10 agents on 15-minute heartbeats = 960 API calls per day
That is 28,800 API calls per month before your agents do a single useful thing. Most teams do not need 15-minute heartbeats. Consider 30-minute or even 1-hour intervals for agents that handle non-urgent tasks.
3. Server Costs: Where Your Agents Live
OpenClaw runs on your machine. For always-on agents, you need something that stays powered on 24/7. Here are your options:
Your own laptop/desktop
$0/monthWorks for testing and casual use. Agents stop when your machine sleeps or shuts down. Not reliable for production.
Raspberry Pi
$0/month (one-time ~$75)Low power, always-on. Runs OpenClaw well for 1-3 agents. Great for home automation agents.
VPS (Hetzner, DigitalOcean)
$5-20/monthReliable, always connected. A $5 VPS can handle 3-5 agents. The $20 tier is comfortable for 10+ agents.
Mac Mini (always-on)
$0/month (one-time ~$600)Best performance for local models with Ollama. Run 10+ agents with local LLMs and zero API costs for routine tasks.
Docker on existing server
$0 extraIf you already have a server, OpenClaw runs in Docker alongside your other services. No additional hosting cost.
Server costs are the smallest part of the equation. Even a $20/month VPS is nothing compared to what you spend on API calls if heartbeats are running frequently.
4. Hidden Costs Most People Miss
Beyond the obvious API and server costs, there are a few expenses that catch people off guard:
Session history accumulation
Every conversation turn is stored and sent with the next request. After weeks of use, your 15K token context becomes 100K+ tokens. That is 6-7x more expensive per query. You need to clear sessions periodically.
Cache write costs on cold starts
Anthropic caches your system prompt for 5 minutes. If your heartbeat runs every 15 minutes, every single heartbeat is a cold start with full cache_write fees. Cache write costs 1.25x the normal input price.
Unused skills and tools
OpenClaw loads default skills (weather, Slack, GitHub, etc.) into your system prompt. Each skill adds tokens to every request. If your agent only runs scripts, disable the skills it does not need.
ClawHub premium skills
Some advanced skills on ClawHub have their own pricing. Most community skills are free, but premium integrations (enterprise CRM connectors, advanced analytics) may have subscription fees.
Real-World Cost Examples
Here is what actual OpenClaw users spend per month, based on different usage patterns:
Casual
$5-15/month
- 1 agent
- Manual queries only (no heartbeat)
- 5-10 queries per day
- Haiku or GPT-4o Mini
- Running on your own machine
Moderate
$30-60/month
- 3 agents
- 30-min heartbeats on 1-2 agents
- Mixed Haiku + Sonnet
- $5 VPS for hosting
- Regular session cleanup
Production
$150-400/month
- 10 agents
- 15-min heartbeats on all agents
- Sonnet for creative, Haiku for routing
- $20 VPS
- Heavy daily workloads
The jump from “casual” to “production” is dramatic. Most of that increase comes from heartbeat costs. If you can reduce heartbeat frequency or use cheaper models for heartbeats, you can run 10 agents for closer to $80-150/month.
6 Ways to Cut Your OpenClaw Costs
You do not have to accept the default costs. Here are the most effective optimizations, ranked by impact:
Use cheaper models for heartbeats
Heartbeats just check for new tasks. They do not need Sonnet-level reasoning. Set Haiku as the heartbeat model and only use Sonnet when the agent actually needs to think. This alone can cut costs by 3-5x.
Reduce heartbeat frequency
Switch from 15-minute to 30-minute intervals. That is a 50% cost reduction with minimal impact for most use cases. For non-urgent agents (SEO monitoring, weekly reports), even 1-hour intervals work fine.
Use local models with Ollama for routine tasks
Install Ollama and run Llama 3 or Qwen locally. Point your heartbeat and simple routing tasks at the local model. Zero API cost. Save cloud APIs for tasks that genuinely need them.
Set spending limits on your API provider
Both Anthropic and OpenAI let you set monthly spending caps. Set one. A runaway agent with a bug in its heartbeat loop can burn through $100 in hours. A spending limit is your safety net.
Use isolated sessions for cron jobs
If your agent runs scheduled tasks (daily reports, weekly audits), use openclaw agent --isolated for each run. This starts a clean session with no history. No session accumulation, lower token counts, cheaper queries.
Clear session history regularly
Delete old session files from ~/.openclaw/agents/*/sessions/sessions.json on a schedule. A fresh 15K token context costs $0.02 per query on Haiku. A bloated 100K context costs $0.13. That is 6x the price for the same work.
Combining tips 1-3 can reduce costs by 10-20x
A 10-agent production setup running Sonnet with 15-min heartbeats costs ~$300/month. Switch heartbeats to Haiku at 30-min intervals with Ollama for routing, and you are looking at $30-50/month. Same agents, same results, fraction of the cost.
Monthly Cost Summary
Here is a consolidated view of what you can expect to pay:
| Cost Category | 1 Agent | 3 Agents | 10 Agents |
|---|---|---|---|
| OpenClaw license | Free | Free | Free |
| API calls (optimized) | $5-15 | $20-45 | $80-200 |
| Server hosting | $0-5 | $5-10 | $10-20 |
| Total monthly | $5-20 | $25-55 | $90-220 |
These are optimized costs (Haiku heartbeats, 30-min intervals, regular session cleanup). Without optimization, multiply by 2-3x.
Skip the Cost Management Entirely
Managing API costs, configuring heartbeats, choosing the right model for each task, clearing sessions, setting spending limits. It is a lot of operational overhead for something that should be simple: run an AI agent that does useful work.
That is why we built CrewClaw. For a one-time $9 payment, you get a complete agent deploy package: pre-configured SOUL.md templates, optimized Docker setup, deployment scripts, and model recommendations based on your agent's workload. No monthly API management headaches. No surprise bills.
CrewClaw: $9 one-time payment
Complete agent deploy package. 103 templates. No monthly fees.
Browse Agent TemplatesFrequently Asked Questions
Is OpenClaw free to use?
Yes, OpenClaw is free and open source. You can install it, configure agents, and run them without paying anything for the framework itself. The costs come from the LLM API calls your agents make (Claude, GPT-4o, etc.), and optionally from server hosting if you want agents running 24/7.
How much does it cost to run one OpenClaw agent per month?
For casual use (a few queries per day on Haiku), expect $5-15/month. For moderate use with Sonnet, $15-30/month. For heavy production use with frequent heartbeats and Sonnet or Opus, $50-100+/month. The biggest cost driver is how often the agent makes API calls, not the framework itself.
Can I run OpenClaw agents for free with local models?
Yes. You can use Ollama to run open-source models like Llama 3, Mistral, or Qwen locally. This eliminates API costs entirely. The tradeoff is that local models are less capable than Claude Sonnet or GPT-4o for complex reasoning tasks. Many users run a hybrid setup: local models for routine tasks, cloud APIs for creative or complex work.
Why is my OpenClaw agent costing more than expected?
Three common reasons: (1) Heartbeats are running too frequently, making API calls every 15 minutes even when there is nothing to do. (2) Session history is accumulating, sending thousands of old messages with every new request. (3) The agent is locked to an expensive model from an old session even though you changed the config. Check your API provider dashboard for actual usage.
Related Guides
How We Reduced AI Agent Cost by 16x
Real optimization story from $0.40 to $0.024 per query
OpenClaw + Ollama: Local AI Agents
Run agents with zero API costs using local models
OpenClaw Cost Optimization Guide
Advanced tips for reducing your agent spending
OpenClaw Setup Guide 2026
Install, configure, and run your first agent
Deploy a Ready-Made AI Agent
Skip the setup. Pick a template and deploy in 60 seconds.