Guide

OpenClaw Cost Guide: How to Spend $25/Month Instead of $300

CampeloClaw Team · March 18, 2026 · 4 min read

Updated March 24, 2026

Cost comparison chart showing OpenClaw API spending optimization from $300 to $25 per month — Smart model routing cuts API costs by up to 90%

The number one concern new OpenClaw users have is cost. They see API pricing pages, do some quick math, and assume running a personal AI assistant will cost hundreds of dollars per month. The reality is very different. With the right setup, most users spend between $15 and $30 per month while running dozens of workflows daily.

The secret is not using fewer AI calls. It is routing each call to the right model. An email summary does not need GPT-4o. A code review does not need the same model as a quick classification task. OpenClaw makes this routing automatic, and that is where the savings come from.

What actually costs money?

Every API call to a language model has two cost components: input tokens (what you send) and output tokens (what you receive). Prices vary dramatically between models. The difference between the cheapest and most expensive model can be 100x for the same task.

Model	Input (per 1M tokens)	Output (per 1M tokens)	Best For
GPT-4o	$2.50	$10.00	Complex reasoning, analysis
Claude Sonnet	$3.00	$15.00	Detailed writing, code generation
Claude Haiku	$0.25	$1.25	Quick tasks, classification
GPT-4o-mini	$0.15	$0.60	Summaries, simple tasks
Claude Opus	$15.00	$75.00	Highest quality, research
Local (Ollama)	Free	Free	Privacy-critical, high-volume

The model routing strategy

Model routing is the practice of assigning different models to different tasks based on complexity. OpenClaw supports this natively through workflow configuration. You tag each workflow with a complexity level, and OpenClaw routes it to the appropriate model.

yaml

# workflow: email-classify.yaml
name: Classify Incoming Email
model: gpt-4o-mini        # Cheap model for simple classification
max_tokens: 50
system: "Classify this email as: urgent, normal, or spam. Reply with one word."
# workflow: code-review.yaml
name: Review Pull Request
model: claude-sonnet       # Better model for nuanced analysis
max_tokens: 2000
system: "Review this code diff. Flag bugs, security issues, and style problems."

Five strategies to cut costs by 90%

Route by complexity: use mini models for classification, summaries, and formatting. Reserve large models for reasoning and generation.
Cache repeated calls: OpenClaw caches identical prompts by default. If you summarize the same document twice, the second call is free.
Trim your inputs: send only the relevant text to the model. A 10-page document costs 10x more than the 2 relevant paragraphs.
Set max_tokens limits: prevent the model from generating 4,000 tokens when you only need 200. This directly reduces output cost.
Use local models for high-volume tasks: if you process hundreds of items per day, run a local model via Ollama for the simple ones.

A realistic monthly budget

Here is what a typical OpenClaw user spends running 10 workflows daily, processing around 50 tasks per day total. These numbers are based on real usage patterns.

Workflow Category	Calls/Day	Model	Monthly Cost
Email processing	20	GPT-4o-mini	$1.80
Content summaries	10	GPT-4o-mini	$2.40
Code reviews	5	Claude Sonnet	$9.00
Research tasks	3	GPT-4o	$4.50
Report generation	2	Claude Sonnet	$3.60
System monitoring	10	Local (Ollama)	$0.00
Total	50	—	$21.30

TIP

These numbers assume average prompt lengths. Your actual costs depend on how much text you send and receive. OpenClaw includes a cost dashboard that tracks spend per workflow so you can identify and optimize expensive tasks.

Frequently asked questions

What if I go over my budget?

OpenClaw supports spending limits per workflow and per day. When a limit is hit, the workflow pauses and notifies you. You can also set a global monthly cap.

Is it cheaper to use one provider or multiple?

Multiple providers is almost always cheaper. Each provider has models that are best value for specific task types. OpenClaw makes switching between providers seamless.

Can I start completely free?

Yes. Use only local models via Ollama and your cost is zero. The quality is lower for complex tasks, but it is a great way to learn OpenClaw without spending anything.

How do I track my spending?

OpenClaw logs every API call with its token count and estimated cost. The built-in dashboard shows daily, weekly, and monthly spend broken down by workflow and model.

Written by CampeloClaw Team

We teach non-technical users how to build AI employees with OpenClaw.

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