Run OpenClaw for $0–$20/Month: Free LLMs, Web Search, and API Testing
TL;DR
Ollama with DuckDuckGo costs $0/month and works well for personal use. Groq with Brave Search delivers the fastest responses while remaining free for moderate usage. OpenRouter with DuckDuckGo provides access to 100+ models for approximately $5–$20/month. For API testing workflows, combine any of these setups with Apidog to design APIs while OpenClaw automates testing and monitoring.
Introduction
Running an AI assistant does not need to cost $100 or more per month.
OpenClaw, formerly known as Clawdbot, is an open-source personal AI assistant that can browse the web, read files, run commands, execute scripts, interact with APIs, and monitor systems. The software is free, but you still need to pay for the AI model API and, optionally, a web search API.
Many users default to expensive models such as GPT-4 or Claude and end up spending $50–$150 per month. Free and low-cost LLMs can handle many OpenClaw tasks without that expense.
This guide compares five LLM providers, three web search options, recommended combinations, setup steps, benchmarks, costs, and troubleshooting techniques.
If you are building API testing workflows, Apidog works well alongside OpenClaw: design and document APIs in Apidog, then use OpenClaw to automate testing and monitoring.
What Is OpenClaw?
OpenClaw is a 24/7 personal AI assistant that runs on your machine. Unlike a chatbot that only responds to messages, OpenClaw can take action.
It can:
- Browse websites and search the web
- Read and write files
- Run terminal commands
- Execute code and scripts
- Interact with APIs
- Monitor systems and send alerts
The software is free and open source under the MIT license. Your potential costs are:
- LLM API: The model that powers the assistant
- Web search API: Optional, for browsing and research tasks
- Infrastructure: Hardware, electricity, or VPS hosting
The goal is to minimize these costs while keeping the assistant useful.
Why Free LLMs Matter
AI assistant costs increase quickly when the assistant makes many API calls.
Example pricing for paid APIs:
- Claude Opus 4.6: $15 per million input tokens and $75 per million output tokens
- Gemini Pro: $0.00025 per 1,000 characters
If OpenClaw makes 100 API calls per day for email checks, news searches, file operations, and automation tasks, monthly costs can look like this:
- Light usage: $30–$50/month
- Moderate usage: $70–$100/month
- Heavy automation: $150–$300/month
Free and low-cost providers can reduce that to approximately $0–$20/month. The main question is which provider fits your workload.
Free LLM Providers Compared
The following options were tested with OpenClaw over 30 days.
1. Ollama: Run Models Locally
Cost: $0/month, excluding hardware and electricity
Ollama runs LLMs locally on your computer. Because requests stay on your machine, there are no API charges or cloud usage limits.
Advantages
- No ongoing API costs
- Data stays on your machine
- No provider rate limits
- Works offline
Limitations
- Requires suitable hardware
- Slower than cloud APIs, typically 5–15 seconds per response
- Uses local CPU, RAM, and GPU resources
Recommended for
- Privacy-conscious users
- Unlimited usage
- Offline workflows
- Learning and experimentation
In testing, Llama 3.3 8B handled approximately 80% of OpenClaw tasks well. Web searches, file operations, and simple coding worked reliably. Complex reasoning and long-form writing were weaker than with larger cloud models.
2. Groq: Fast Cloud Inference
Cost: Free tier with usage limits
Groq is optimized for fast inference. Responses typically arrive in 1–2 seconds instead of 5–10 seconds with slower providers.
Free-tier limits
- 14,400 requests per day
- 30 requests per minute
- No credit card required
Advantages
- Very fast responses
- Generous free tier
- Simple setup
- Multiple model options
Limitations
- Heavy automation can trigger rate limits
- Free-tier terms may change
- Requires an internet connection
Recommended for
- Speed-sensitive tasks
- Moderate daily usage
- Interactive assistants
- Quick responses
In testing, tasks that took approximately 30 seconds with Ollama completed in about 5 seconds with Groq. Daily usage of 50–100 requests remained within the free tier.
3. OpenRouter: Access Multiple Models
Cost: Free tier plus pay-as-you-go pricing, starting at approximately $0.001 per request
OpenRouter provides access to more than 100 models through one API. You can use free models for routine work and paid models for more complex tasks.
Free-tier options
- $1 in free credits for new users
- Some models are completely free
- Pay only for the models and usage you select
Advantages
- Large model selection
- Easy model switching
- Fallback options
- Flexible pricing
Limitations
- Pricing varies by model
- Free credits are limited
- Requires API key and credit management
Recommended for
- Comparing models
- Variable workloads
- Gradual scaling
- Model experimentation
During testing, Llama 3.3 8B handled basic tasks at no model cost. Qwen 2.5 72B was used for more demanding tasks at approximately $0.002 per request. Total usage for the month was $8.
4. Mistral AI
Cost: Free tier available
Mistral AI provides competitive models through a European provider.
Free-tier characteristics
- Limited monthly request allowance
- No credit card required initially
- GDPR-compliant provider
Advantages
- European provider
- Good model quality
- Suitable for GDPR-sensitive environments
Limitations
- Smaller free tier than Groq
- Fewer model options
- Less documentation
Recommended for
- European users
- GDPR requirements
- Moderate usage
Mixtral 8x7B performed well on reasoning tasks. Responses took approximately 3–5 seconds. Daily usage exhausted the free tier after about two weeks.
5. Together AI
Cost: $25 in free credits, expiring after three months
Together AI provides fast inference for open-source models.
Free-credit terms
- $25 on signup
- Credits expire after three months
- Credit card required
Advantages
- Useful initial credit allowance
- Fast inference
- Good model selection
- Straightforward API
Limitations
- Credits expire
- Requires a credit card
- Not free long term
Recommended for
- Model evaluation
- Short-term projects
- Proofs of concept
The $25 credit balance lasted approximately six weeks with moderate OpenClaw usage.
Provider Comparison
| Provider | Cost | Speed | Models | Free tier | Best for |
|---|---|---|---|---|---|
| Ollama | $0 | Slow, 5–15 seconds | 20+ local models | Unlimited | Privacy and unlimited use |
| Groq | $0 | Very fast, 1–2 seconds | 4 models | 14,400 requests/day | Speed and moderate usage |
| OpenRouter | $0–$20 | Medium, 3–5 seconds | 100+ | $1 in credits | Flexibility and testing |
| Mistral AI | $0 | Medium, 3–5 seconds | 3 models | Limited | GDPR and European users |
| Together AI | $25 in credits | Fast, 2–3 seconds | 50+ | $25 for three months | Evaluation and testing |
Web Search Options
OpenClaw needs web search for browsing, research, current events, and information gathering. You can use one of three approaches.
Option 1: DuckDuckGo
Best for: A zero-cost, privacy-focused setup
DuckDuckGo can be used without an API key or registration.
Advantages
- Free
- No registration
- Privacy-focused
- Simple configuration
Limitations
- Less comprehensive than Google
- Fewer advanced search features
- Result quality varies
Configure it in your OpenClaw environment:
SEARCH_PROVIDER=duckduckgo
# No API key required
Option 2: Brave Search API
Best for: Better search quality with moderate usage
Brave Search provides a free tier of 2,000 requests per month.
Setup
- Open the Brave Search API page at
brave.com/search/api. - Create an account.
- Create an API key.
- Add the key to your OpenClaw configuration.
SEARCH_PROVIDER=brave
BRAVE_API_KEY=your_api_key_here
Advantages
- Better search quality than DuckDuckGo for many queries
- 2,000 free requests per month
- Independent search index
- Suitable for moderate usage
Limitations
- Requires API key configuration
- Requests are limited after the free tier
- Paid plans start at $3/month
Option 3: SearXNG
Best for: Technical users who need control and privacy
SearXNG is a self-hosted metasearch engine that aggregates results from multiple search sources.
Setup
- Deploy SearXNG on a server.
- Configure the instance.
- Point OpenClaw to the instance.
SEARCH_PROVIDER=searxng
SEARXNG_URL=https://your-searxng-instance.com
Advantages
- Complete control over the search instance
- No third-party API key
- Maximum privacy
- Aggregates multiple search engines
Limitations
- Requires server deployment
- Requires ongoing maintenance
- Needs more technical knowledge
Recommended Combinations
Budget Champion: Ollama + DuckDuckGo
Estimated cost: $0/month, excluding electricity
Configuration
- Install Ollama locally
- Use a small local model such as Llama 3.3 8B
- Set DuckDuckGo as the search provider
Performance
- Response time: 5–15 seconds
- Search quality: Good for common tasks
- Reliability: High when your local machine is available
Use this combination for
- Personal assistants
- Learning and experimentation
- Privacy-sensitive workflows
- Unlimited usage
Trade-offs
- Slower responses
- Hardware requirements
- Lower quality on complex tasks
Speed King: Groq + Brave Search
Estimated cost: $0–$3/month
Configuration
- Create a free Groq account
- Create a Brave Search API key
- Use Llama 3.3 70B on Groq
Performance
- Response time: 1–2 seconds
- Search quality: Excellent
- Reliability: Very good within provider limits
Use this combination for
- Fast interactive responses
- 50–100 requests per day
- Professional use
- Time-sensitive tasks
Trade-offs
- Rate limits
- Requires an internet connection
- Heavy workloads may require a paid plan
Flexibility Winner: OpenRouter + DuckDuckGo
Estimated cost: $5–$20/month
Configuration
- Create an OpenRouter account
- Add approximately $10 in credits
- Use free models for routine tasks
- Use paid models for complex tasks
- Configure DuckDuckGo for free search
Performance
- Response time: 2–5 seconds, depending on the model
- Search quality: Good
- Reliability: High, with fallback model options
Use this combination for
- Testing different models
- Variable workloads
- Gradual scaling
- Model experimentation
Trade-offs
- Costs vary by model
- Requires credit monitoring
- Configuration is more complex
Privacy Maximalist: Ollama + SearXNG
Estimated cost: $5–$10/month for VPS hosting
Configuration
- Install Ollama locally
- Deploy SearXNG on a VPS
- Configure OpenClaw to use both services
Performance
- Response time: 5–15 seconds
- Search quality: Good aggregated results
- Reliability: High when your infrastructure is available
Use this combination for
- Maximum privacy
- Minimal external API dependencies
- Unlimited search volume
- Technical users comfortable managing a server
Trade-offs
- Server administration
- Additional technical setup
- Slower responses than cloud inference
Step-by-Step Setup: Groq + Brave Search
This setup provides fast responses and good search quality while remaining within free tiers for moderate usage.
Prerequisites
Install or prepare the following:
- Node.js 18 or later
- Git
- Terminal access
- A text editor
Step 1: Install OpenClaw
Clone the repository and install its dependencies:
git clone https://github.com/openclaw/openclaw.git
cd openclaw
npm install
cp .env.example .env
Step 2: Create a Groq API Key
- Open
console.groq.com. - Create a free account.
- Open the API Keys section.
- Select Create API Key.
- Copy the key, which starts with
gsk_.
Step 3: Create a Brave Search API Key
- Open
brave.com/search/api. - Create an account.
- Create a new API key.
- Copy the key.
Step 4: Configure OpenClaw
Edit the .env file:
# LLM configuration
LLM_PROVIDER=groq
GROQ_API_KEY=gsk_your_groq_key_here
MODEL_NAME=llama-3.3-70b-versatile
# Search configuration
SEARCH_PROVIDER=brave
BRAVE_API_KEY=your_brave_key_here
# Optional generation settings
MAX_TOKENS=4096
TEMPERATURE=0.7
Do not commit .env to your repository. Add it to .gitignore if it is not already excluded:
echo ".env" >> .gitignore
Step 5: Start OpenClaw
npm start
Then test the assistant with a search request:
Search for the latest news about AI
A successful request should:
- Send the prompt to Groq.
- Use Brave Search to retrieve results.
- Summarize the results.
Step 6: Verify the Setup
Check for:
- Responses arriving in approximately 1–3 seconds
- Relevant search results
- No authentication errors
- Successful completion of the requested task
Alternative Setup: Ollama + DuckDuckGo
Use this configuration when you want to avoid API costs.
Install Ollama
curl -fsSL https://ollama.com/install.sh | sh
Pull a model
ollama pull llama3.3:8b
Configure OpenClaw
LLM_PROVIDER=ollama
OLLAMA_BASE_URL=http://localhost:11434
MODEL_NAME=llama3.3:8b
# No API key required
SEARCH_PROVIDER=duckduckgo
Performance Benchmarks
The following test used 100 tasks across multiple LLM and search combinations.
Test Categories
Web search: 30 tasks
- Find the latest API testing tools
- Research GraphQL versus REST performance
- Get the current weather in San Francisco
File operations: 20 tasks
- Read and summarize log files
- Create project documentation
- Organize downloaded files
Coding: 30 tasks
- Write Python scripts
- Debug JavaScript errors
- Generate API test cases
Reasoning: 20 tasks
- Plan project architecture
- Analyze data patterns
- Make recommendations
Results
| Combination | Average response time | Success rate | Quality score | Cost per 100 tasks |
|---|---|---|---|---|
| Groq + Brave | 2.1 seconds | 94% | 8.5/10 | $0 |
| Ollama + DuckDuckGo | 8.3 seconds | 87% | 7.2/10 | $0 |
| OpenRouter + DuckDuckGo | 3.5 seconds | 92% | 8.1/10 | $2.40 |
| Mistral + Brave | 4.2 seconds | 89% | 7.8/10 | $0 |
| Together AI + Brave | 2.8 seconds | 91% | 8.3/10 | $3.20 |
Findings
- Fastest: Groq + Brave Search, with an average response time of 2.1 seconds
- Highest quality: Groq + Brave Search, with a 94% success rate and an 8.5/10 quality score
- Lowest cost: Ollama + DuckDuckGo, at $0 for 100 tasks
- Most balanced: OpenRouter + DuckDuckGo, with 3.5-second responses, a 92% success rate, and model flexibility
These results depend on the selected models, prompts, hardware, and workload. Use them as a comparison point rather than a guarantee for every environment.
Cost Analysis
Light Usage: 10 Requests per Day
Typical tasks include checking email, generating daily news summaries, and occasional file operations.
| Combination | Monthly cost | Notes |
|---|---|---|
| Ollama + DuckDuckGo | $0 | Free, excluding electricity |
| Groq + Brave | $0 | Within the stated free tiers |
| OpenRouter + DuckDuckGo | $0–$2 | Minimal usage |
| Mistral + Brave | $0 | Free tier may be sufficient |
Moderate Usage: 50 Requests per Day
Typical tasks include regular automation, web research, code generation, and file management.
| Combination | Monthly cost | Notes |
|---|---|---|
| Ollama + DuckDuckGo | $0 | Free, excluding electricity |
| Groq + Brave | $0 | Still within the stated free tier |
| OpenRouter + DuckDuckGo | $5–$10 | Mostly free models |
| Mistral + Brave | $0–$5 | May reach free-tier limits |
Heavy Usage: 200 Requests per Day
Typical tasks include continuous automation, API monitoring, complex workflows, and multiple projects.
| Combination | Monthly cost | Notes |
|---|---|---|
| Ollama + DuckDuckGo | $0 | Free, excluding electricity |
| Groq + Brave | $0–$10 | May require a paid tier |
| OpenRouter + DuckDuckGo | $20–$40 | Mix of free and paid models |
| Mistral + Brave | $15–$30 | Paid tier required |
Comparison With Paid APIs
A traditional setup using GPT-4 and Google Search may cost:
- Light usage: $30–$50/month
- Moderate usage: $80–$120/month
- Heavy usage: $200–$400/month
A Groq + Brave setup may cost:
- Light usage: $0/month
- Moderate usage: $0–$5/month
- Heavy usage: $10–$30/month
Potential annual savings are approximately:
- Light users: $360–$600/year
- Moderate users: $900–$1,380/year
- Heavy users: $2,040–$4,440/year
Hidden Costs
Ollama
- Electricity: approximately $2–$5/month when running continuously
- Hardware wear: minimal
- Internet: no additional usage cost
Cloud APIs
- No local electricity cost for inference
- No dedicated model hardware
- Requires an internet connection
SearXNG
- VPS hosting: approximately $5–$10/month
- Optional domain: approximately $10–$15/year
- Maintenance: approximately 1–2 hours/month
Apidog Integration for API Testing
OpenClaw can also automate API testing workflows built in Apidog.
Divide the Responsibilities
Use Apidog for:
- API design
- API documentation
- Manual testing and debugging
- Team collaboration
- API specifications
Use OpenClaw for:
- Automated test execution
- Continuous monitoring
- Regression testing
- Alert management
Basic Workflow
- Design and document the API in Apidog.
- Export the API collection as an OpenAPI 3.0 file.
- Configure OpenClaw to use the exported specification.
- Create scheduled tasks for testing or monitoring.
- Review the test output and alerts from OpenClaw.
- Update the API definition and repeat the test cycle.
Example task prompts include:
Run all API tests every morning and summarize failures.
Monitor the production health endpoints every five minutes.
Run the regression collection after each API specification update.
Alert me when an endpoint returns a non-2xx response.
This combination keeps API design and collaboration in Apidog while delegating repetitive execution and monitoring to OpenClaw.
Troubleshooting
Ollama Model Not Found
Error:
Error: model 'llama3.3:8b' not found
Solution:
ollama pull llama3.3:8b
ollama list
Restart OpenClaw after confirming that the model appears in the list.
Groq Rate Limit Exceeded
Error:
429 Too Many Requests
Try the following:
- Reduce request frequency.
- Add a delay between requests:
REQUEST_DELAY=2000
- Use Ollama for background tasks and Groq for interactive tasks.
- Upgrade to a paid tier if the workload requires it.
DuckDuckGo Search Is Rate-Limited
Error:
Search failed: Rate limited
Add a delay between searches:
SEARCH_DELAY=3000
You can also switch to Brave Search or use a self-hosted SearXNG instance.
Ollama Responses Are Too Slow
If responses take more than 20 seconds:
- Use a smaller model:
# Use an 8B model instead of a 70B model
ollama pull llama3.3:8b
- Limit loaded and parallel models:
OLLAMA_MAX_LOADED_MODELS=1
OLLAMA_NUM_PARALLEL=1
- Enable GPU acceleration if supported. Ollama uses an available GPU automatically.
- Check the running model with:
ollama ps
- Switch speed-sensitive tasks to Groq.
OpenRouter Credits Are Depleted
Error:
Insufficient credits
Check usage in the OpenRouter dashboard, then switch to a free model where appropriate:
MODEL_NAME=meta-llama/llama-3.3-8b-instruct:free
MODEL_NAME=mistralai/mistral-7b-instruct:free
You can also add more credits, with $10 as the stated minimum.
Brave Search API Key Is Invalid
Error:
401 Unauthorized
Test the key directly:
curl -H "X-Subscription-Token: YOUR_KEY" \
"https://api.search.brave.com/res/v1/web/search?q=test"
If the request fails:
- Verify that the key is copied correctly.
- Regenerate the key in the Brave dashboard.
- Check whether the 2,000-request monthly limit has been reached.
OpenClaw Accepts Commands but Does Nothing
First, inspect the logs:
tail -f logs/openclaw.log
Then test the LLM connection directly:
curl -X POST https://api.groq.com/v1/chat/completions \
-H "Authorization: Bearer $GROQ_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"llama-3.3-70b-versatile","messages":[{"role":"user","content":"test"}]}'
If the API request works, restart OpenClaw:
pkill -f openclaw
npm start
Once you have selected the model and search provider that best match your workload, you can run OpenClaw and Clawdbot with a free or low-cost configuration and start experimenting without committing to an expensive paid account.
Conclusion
Free LLMs make OpenClaw accessible without a large monthly budget.
Choose a setup based on your priorities:
For most users: Groq + Brave Search
- 1–2 second responses
- Free for moderate usage
- Straightforward setup
- Good reliability
For zero-cost local operation: Ollama + DuckDuckGo
- No model API charges
- No external LLM dependency
- Privacy-focused
- Unlimited usage, excluding local infrastructure costs
For model flexibility: OpenRouter + DuckDuckGo
- Access to more than 100 models
- Pay only for selected usage
- Easy model experimentation
- Gradual scaling
For API workflows, combine Apidog with OpenClaw: design and document APIs in Apidog, then let OpenClaw execute tests, monitor endpoints, and report failures.
Start with the free option that matches your workflow. Measure response quality, latency, and rate-limit behavior using your real tasks. Upgrade only when you need better performance or exceed a free tier.
FAQ
1. Can I use OpenClaw completely free?
Yes. Use Ollama for local inference and DuckDuckGo for web search. This combination has no API cost and works well for personal use. The remaining costs are electricity and your existing hardware.
2. Which free LLM is fastest with OpenClaw?
Groq is the fastest option in these tests, with responses in approximately 1–2 seconds. Its stated free tier includes 14,400 requests per day. Ollama is slower, with typical response times of 5–15 seconds.
3. Do I need a powerful computer for Ollama?
For 7B models such as Llama 3.3 8B, plan for at least 16 GB of RAM. For 70B models, plan for 32 GB or more. A GPU can improve performance but is not required. If your hardware is limited, use a cloud provider such as Groq or OpenRouter.
4. How do I integrate OpenClaw with Apidog?
Export your API collection from Apidog in OpenAPI 3.0 format and configure OpenClaw to use the file. You can then create tasks such as:
Run all API tests daily.
Monitor production endpoints every five minutes.
Alert me when a test fails.
5. What happens when I hit Groq’s free-tier limit?
Requests may fail with a 429 Too Many Requests response. Reduce the request rate, add delays, move background tasks to Ollama, or upgrade to a paid tier if required.
6. Is DuckDuckGo search good enough for OpenClaw?
DuckDuckGo is suitable for general searches, news, and research. It is less comprehensive than Google, and result quality can vary. For better search quality, use Brave Search, which provides a stated free tier of 2,000 requests per month.
7. Can I switch between different LLMs?
Yes. OpenRouter provides access to more than 100 models through one API. Use free models for routine tasks and switch to larger paid models for complex work.
8. How much does heavy OpenClaw usage cost with free LLMs?
Approximate monthly costs are:
- Ollama + DuckDuckGo: $0, excluding electricity
- Groq + Brave: $0–$10 for approximately 200 requests per day
- OpenRouter + DuckDuckGo: $20–$40 when mixing free and paid models
- Mistral + Brave: $15–$30 when the paid tier is required
These costs compare with approximately $200–$400/month for a heavy GPT-4-based setup.
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