If you’ve searched “how much does OpenClaw cost” expecting a simple answer, I’m going to disappoint you — and then actually help you. OpenClaw isn’t a SaaS with a pricing page. It’s an open-source AI agent framework you self-host, which means the cost depends entirely on your choices: which model you run, where you host it, and how aggressively you use it.
That flexibility is the whole point. It’s also why the “openclaw pricing” question is harder — and more interesting — than it looks.
Whether you’re migrating from the older ClawdBot or MoltBot setups, or starting fresh, here’s what it actually costs to run OpenClaw in 2026.
The Two Cost Buckets
OpenClaw costs break down into two categories:
- API costs — paying Anthropic, OpenAI, or xAI per token for the LLM brain
- Infrastructure costs — the machine running the OpenClaw gateway, electricity, and internet
That’s it. There’s no license fee, no subscription, no per-seat charge. OpenClaw is free software. You’re paying for the intelligence and the compute to orchestrate it.
API Costs: The Big Variable
This is where 80-95% of your OpenClaw cost lives. Let’s look at what the major providers charge as of February 2026.
Anthropic (Claude)
The default choice for most OpenClaw users. Current pricing per 1M tokens:
| Model | Input | Output | Sweet Spot |
|---|---|---|---|
| Claude Opus 4.6 | $5.00 | $25.00 | Complex reasoning, agentic tasks |
| Claude Sonnet 4.5 | $3.00 | $15.00 | Best all-rounder for daily use |
| Claude Haiku 3.5 | $0.25 | $1.25 | Quick tasks, triage, classification |
Prompt caching drops input costs by up to 90%. Batch API gives you 50% off both input and output. Stack them and you’re looking at dramatically lower bills.
OpenAI
Competitive and getting cheaper. Per 1M tokens:
| Model | Input | Output | Notes |
|---|---|---|---|
| GPT-5.2 | $1.75 | $14.00 | Flagship, strong at coding |
| GPT-5-mini | $0.25 | $2.00 | Excellent budget option |
| GPT-4.1-nano | $0.10 | $0.40 | Dirt cheap for simple tasks |
| o3 | $2.00 | $8.00 | Reasoning model |
| o4-mini | $1.10 | $4.40 | Cheaper reasoning |
OpenAI’s Batch API also gives 50% savings with 24-hour turnaround. If your agent tasks aren’t time-sensitive, this is free money.
xAI (Grok)
The dark horse. xAI has been aggressively pricing Grok models:
| Model | Input | Output | Notes |
|---|---|---|---|
| Grok 4 | $3.00 | $15.00 | Frontier-tier reasoning |
| Grok 4.1 Fast | $0.20 | $0.50 | Absurdly cheap for near-frontier quality |
Read that last line again. Grok 4.1 Fast at $0.20/$0.50 per million tokens is borderline free for light usage. If you’re running OpenClaw on a budget, this is the cheapest way to run OpenClaw with a capable model.
What Does Typical Usage Look Like?
A single OpenClaw interaction — you send a message, the agent reads context, calls tools, responds — typically runs 2,000-8,000 input tokens and 500-2,000 output tokens. A heavy agentic session with file reads, web searches, and multi-step reasoning can hit 20,000-50,000+ input tokens.
Rough daily usage estimates:
- Light user (10-20 interactions/day): ~100K input, ~30K output tokens
- Moderate user (50-100 interactions/day): ~500K input, ~150K output tokens
- Power user (200+ interactions, heavy agentic work): ~2M+ input, ~500K+ output tokens
Infrastructure Costs
You need a machine running 24/7 to host the OpenClaw gateway. Here’s what that costs:
Mac Mini (M-series)
The recommended setup for most users, and what the project was built on.
- Hardware: $599-$799 one-off (M4, 16GB RAM is plenty)
- Electricity: ~$3-5/month (Apple Silicon sips power at 5-15W idle)
- Internet: You already have it
Amortised over 3 years, that’s roughly $17-22/month for hardware + electricity. If you already have a Mac Mini, the marginal cost is basically just the electricity — call it $4/month.
VPS / Cloud Server
If you don’t want to run hardware at home:
- Basic VPS (2 vCPU, 4GB RAM): $5-12/month (Hetzner, DigitalOcean)
- Mid-tier (4 vCPU, 8GB RAM): $15-25/month
OpenClaw doesn’t need much compute — it’s mostly making API calls and managing state. A $6/month Hetzner box handles it fine.
Raspberry Pi 5
The cheapest way to run OpenClaw for the truly budget-conscious:
- Hardware: $80-100 one-off (8GB model + SD card + case)
- Electricity: ~$1/month (3-5W)
- Amortised: ~$4/month over 2 years
It works, but you’ll want patience with Node.js on ARM. MoltBot users who ran on Pis back in the day will know the trade-offs.
Monthly Cost Breakdown: Three Real Scenarios
Here’s what OpenClaw actually costs per month across different setups. These are realistic estimates, not marketing fiction.
| 🪶 Minimal | ⚡ Moderate | 🔥 Power User | |
|---|---|---|---|
| Model | Grok 4.1 Fast | Claude Sonnet 4.5 | Claude Opus 4.6 |
| Daily interactions | 15-20 | 50-80 | 200+ |
| Monthly tokens (in/out) | ~3M / ~1M | ~15M / ~5M | ~60M / ~15M |
| API cost | ~$1.10 | ~$120 | ~$675 |
| Infrastructure | $4 (Pi) | $6 (VPS) | $20 (Mac Mini) |
| Total/month | ~$5 | ~$126 | ~$695 |
A few things jump out:
- You can run a functional AI agent for $5/month. That’s less than a coffee subscription. Grok 4.1 Fast on a Raspberry Pi is the cheapest way to run OpenClaw, full stop.
The moderate setup is where most people land. Sonnet 4.5 is the workhorse — smart enough for nearly everything, fast, and the pricing is reasonable if you’re not hammering it.
Power usage gets expensive fast. Opus 4.6 is brilliant but $25/M output tokens adds up. This is where cost optimisation actually matters.
How to Slash Your OpenClaw Costs
1. Use the Right Model for the Job
This is the single biggest lever. Don’t use Opus for checking your calendar. OpenClaw supports model routing — configure cheaper models (Haiku, GPT-4.1-nano, Grok 4.1 Fast) for routine tasks and reserve the big models for complex work.
If you ran ClawdBot back when model selection was less flexible, you’ll appreciate how much control OpenClaw gives you here. The old ClawdBot cost structure was brutal because everything ran through one model.
2. Leverage Prompt Caching
Anthropic’s prompt caching is a game-changer. Your system prompt, SOUL.md, memory files — all of that context gets cached after the first call. Subsequent requests with the same prefix cost 90% less on input tokens. For a moderate user, this alone can cut your Anthropic bill by 40-60%.
3. Batch Non-Urgent Work
Both Anthropic and OpenAI offer batch processing at 50% off. If your agent does periodic tasks (email checks, report generation, data processing), schedule them as batch jobs instead of real-time calls. OpenClaw’s cron system makes this straightforward.
4. Optimise Context Windows
Every file your agent reads is tokens. Keep your SOUL.md tight. Archive old memory files. Use selective context loading instead of dumping everything into every request. The difference between a 4K and 40K context prefix is real money at scale.
5. Schedule Smart with Cron
Instead of running heartbeat checks every 15 minutes (burning tokens on “nothing new”), spread your checks intelligently. Batch email + calendar + notifications into one call. Use longer intervals during quiet hours. MoltBot pricing concerns drove similar optimisations back then — the principle hasn’t changed.
6. Consider Multi-Provider Routing
Run Grok 4.1 Fast for quick lookups and classification. Route to Sonnet for conversational tasks. Escalate to Opus only for genuinely complex reasoning. This hybrid approach can cut costs 50-70% compared to running everything on a single premium model.
OpenClaw vs ClawdBot vs MoltBot: Cost Comparison
For anyone searching “clawdbot cost” or “moltbot pricing” — these were earlier iterations of what became OpenClaw. Here’s how they compare:
MoltBot was the earliest version, typically self-hosted with fewer model options. Costs were lower because capabilities were limited — no tool use, no memory system, simpler prompts. If you were spending $20-30/month on MoltBot, you were a heavy user.
ClawdBot added Claude integration and more sophisticated agent features. The ClawdBot cost profile was higher ($50-150/month typical) because it leaned heavily on Claude Opus and lacked the caching and routing optimisations OpenClaw now has.
OpenClaw gives you all the capability of ClawdBot with dramatically better cost control. Multi-model support, prompt caching, batch processing, and smart scheduling mean you can do *more* for *less*. A moderate OpenClaw user today spends what a light ClawdBot user spent, with 3x the functionality.
The Bottom Line
So, how much does OpenClaw cost? Here’s the honest answer:
- Minimum viable setup: ~$5/month (Grok 4.1 Fast + Raspberry Pi)
- Comfortable daily driver: ~$50-130/month (Sonnet 4.5 + VPS/Mac Mini)
- No-compromises power usage: ~$300-700/month (Opus 4.6 with heavy agentic work)
The beauty of OpenClaw is that you control every dollar. There’s no vendor lock-in, no surprise bills, no “contact sales for pricing.” You pick the model, you pick the hardware, you pay exactly what you use.
For most builders, start with the moderate tier. Use Sonnet 4.5 as your daily driver, add Haiku or Grok Fast for lightweight tasks, and save Opus for when you genuinely need it. You’ll land somewhere around $80-120/month with a capable, always-on AI agent that handles your email, calendar, code, research, and whatever else you throw at it.
That’s not cheap. But for a personal AI agent that actually works? It’s a bargain.
Prices current as of February 2026. API pricing changes frequently — check provider pages for the latest. All estimates assume standard (non-cached, non-batch) rates unless noted.
Last updated: February 11, 2026