TL;DR
Ollama with DuckDuckGo: $0/month, ideal for personal use. Groq with Brave Search: fastest, free for moderate usage. OpenRouter with DuckDuckGo: 100+ models for $5-20/month. For API testing workflows, combine any of these with Apidog to design APIs; OpenClaw automates testing.
Introduction
Running your own AI assistant doesn't have to cost over $100/month. OpenClaw (formerly Clawdbot) is a free, open-source AI assistant capable of web browsing, file I/O, and command execution. The only ongoing costs are for the AI model APIs.
Many default to GPT-4 or Claude, quickly spending $50-150/month. But free and low-cost LLMs work for most OpenClaw tasks.
After testing all major free LLMs with OpenClaw for a month, here's a practical guide to which options work, how to set them up, and what they'll cost.
💡 Tip: If you're building API testing workflows, Apidog pairs perfectly with OpenClaw. Use Apidog to design/document APIs; OpenClaw handles automated testing and monitoring, saving manual effort weekly.
You'll see which free LLMs perform best, how to integrate web search with zero setup, and how to deploy a no-cost AI assistant that actually works.
What is OpenClaw?
OpenClaw is a 24/7 local AI assistant. Unlike standard chatbots, it can:
- Browse/search the web
- Read/write local files
- Run terminal commands
- Execute code/scripts
- Interact with APIs
- Monitor systems and send alerts
It's free and open-source (MIT). Your costs:
- AI model API (LLM)
- Web search API (optional)
This guide focuses on minimizing both while keeping performance high.
Why Free LLMs Matter
Paid AI APIs add up fast:
- Claude Opus 4.6: $15 per million input tokens, $75/million output
- Gemini Pro: $0.00025 per 1K characters
100 API calls/day can cost:
- Light: $30-50/month
- Moderate: $70-100/month
- Heavy: $150-300/month
Free LLMs flip this equation. You can run OpenClaw 24/7 for $0-20/month instead of $100+. The real question: which free LLM suits your needs?
Free LLM Options Compared
Here's a summary of five free LLM options tested with OpenClaw.
1. Ollama (Local Models)
Cost: $0/month (runs on your machine)
Pros:
- No ongoing cost, no rate limits, offline, total privacy
Cons:
- Needs 16GB+ RAM for 7B models, 32GB+ for 70B
- Slower (5-15s/response), uses local compute
Use case: Privacy, unlimited use, local experimentation
Performance: Llama 3.3 8B handled 80% of OpenClaw tasks. Complex tasks will struggle vs cloud models.
2. Groq
Cost: Free tier (14,400 requests/day, 30/min)
Pros:
- Extremely fast (1-2s/response)
- Generous free tier, easy setup
Cons:
- Rate limits for heavy use, requires internet
Use case: Speed-critical, moderate usage
Performance: Feels very responsive. 50-100 daily requests work fine on the free tier.
3. OpenRouter
Cost: Free tier + pay-as-you-go ($0.001/request)
Pros:
- Access 100+ models, easy switching, competitive pricing
Cons:
- Price varies by model, requires API key management
Use case: Model testing, flexibility, gradual scaling
Performance: Used Llama 3.3 8B (free) for basics, higher-tier models for complex tasks (~$8/month).
4. Mistral AI
Cost: Free tier (limited requests/month)
Pros:
- European provider (GDPR), good quality, no card needed (initially)
Cons:
- Smaller free tier, fewer models, less doc
Use case: GDPR, European users, moderate use
Performance: Mixtral 8x7B is solid for reasoning. Free tier lasts ~2 weeks for daily use.
5. Together AI
Cost: $25 free credits (expire in 3 months, card required)
Pros:
- Generous initial credits, good model selection, fast inference
Cons:
- Credits expire, card required, not free long-term
Use case: Short-term projects, evaluation, POCs
Performance: $25 lasted ~6 weeks with moderate use.
Comparison Table
| Provider | Cost | Speed | Models | Free Tier | Best For |
|---|---|---|---|---|---|
| Ollama | $0 | Slow (5-15s) | 20+ local | Unlimited | Privacy, unlimited use |
| Groq | $0 | Very Fast (1-2s) | 4 models | 14,400/day | Speed, moderate use |
| OpenRouter | $0-20 | Medium (3-5s) | 100+ | $1 credits | Flexibility, testing |
| Mistral AI | $0 | Medium (3-5s) | 3 models | Limited | GDPR, European users |
| Together AI | $25 credits | Fast (2-3s) | 50+ | $25/3 months | Evaluation, testing |
Web Search Integration Guide
OpenClaw supports three web search options:
Option 1: DuckDuckGo Search (Zero Cost, Recommended)
- Setup: No API key, no registration, works out of the box.
- Pros: Free, privacy, no rate limits for personal use
Config:
# In your OpenClaw config file
SEARCH_PROVIDER=duckduckgo
Option 2: Brave Search API
- Setup: Sign up, get API key, 2,000 requests/month free
- Pros: Better results than DuckDuckGo, 2k/month free
Config:
SEARCH_PROVIDER=brave
BRAVE_API_KEY=your_api_key_here
Option 3: SearXNG (Self-hosted)
- Setup: Deploy SearXNG on your server, point OpenClaw at it
Config:
SEARCH_PROVIDER=searxng
SEARXNG_URL=https://your-searxng-instance.com
Best Combinations for Different Use Cases
Budget Champion: Ollama + DuckDuckGo
- Total Cost: $0/month
- How: Install Ollama locally, use MiniMax M2.5 or Llama 3.3 8B, configure DuckDuckGo (no API key)
- Best for: Personal/learning, privacy, unlimited usage
Speed King: Groq + Brave Search
- Total Cost: $0-3/month
- How: Sign up for Groq, get Brave Search API key, use Llama 3.3 70B on Groq
- Best for: Professional/time-sensitive, fast responses (1-2s)
Flexibility Winner: OpenRouter + DuckDuckGo
- Total Cost: $5-20/month
- How: OpenRouter credits, free models for basics, paid for complex, DuckDuckGo for search
- Best for: Model experimentation, scaling
Privacy Maximalist: Ollama + SearXNG
- Total Cost: $5-10/month (VPS for SearXNG)
- How: Local Ollama, self-hosted SearXNG
- Best for: Maximum privacy, technical users
Step-by-Step Setup Guide
Example: Groq + Brave Search
Prerequisites
- Node.js 18+
- Git
- Terminal
- Text editor
Step 1: Install OpenClaw
git clone https://github.com/openclaw/openclaw.git
cd openclaw
npm install
cp .env.example .env
Step 2: Get Groq API Key
- Go to console.groq.com
- Sign up, go to API Keys, create/copy key (starts with
gsk_)
Step 3: Get Brave Search API Key
- Go to brave.com/search/api
- Sign up, create API key, copy
Step 4: Configure OpenClaw
Edit .env:
# 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
MAX_TOKENS=4096
TEMPERATURE=0.7
Step 5: Test Your Setup
npm start
# In OpenClaw prompt:
> Search for the latest news about AI
Step 6: Verify It’s Working
Check for:
- Fast responses (1-3s)
- Accurate search results
- No API errors
- Tasks complete as expected
Alternative: Ollama + DuckDuckGo (Zero Cost)
# 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
SEARCH_PROVIDER=duckduckgo
Performance Benchmarks
100 tasks tested across combinations.
Tasks:
- Web Search (30): API testing tools, GraphQL vs REST, weather lookups
- File Ops (20): Summarize logs, doc generation, file org
- Code (30): Write Python, debug JS, generate test cases
- Reasoning (20): Plan architecture, analyze data, recommendations
Results:
| Combination | Avg Response Time | Success Rate | Quality Score | Cost/100 Tasks |
|---|---|---|---|---|
| Groq + Brave | 2.1s | 94% | 8.5/10 | $0 |
| Ollama + DuckDuckGo | 8.3s | 87% | 7.2/10 | $0 |
| OpenRouter + DuckDuckGo | 3.5s | 92% | 8.1/10 | $2.40 |
| Mistral + Brave | 4.2s | 89% | 7.8/10 | $0 |
| Together AI + Brave | 2.8s | 91% | 8.3/10 | $3.20 |
- Speed Winner: Groq + Brave (2.1s avg)
- Quality Winner: Groq + Brave (94% success, 8.5/10 quality)
- Value Winner: Ollama + DuckDuckGo ($0, decent quality)
- Balanced: OpenRouter + DuckDuckGo (good speed/quality, low cost)
Cost Analysis
Monthly Usage Scenarios
Light (10 requests/day):
- Email check, news, occasional files
| Combination | Monthly Cost | Notes |
|---|---|---|
| Ollama + DuckDuckGo | $0 | Free forever |
| Groq + Brave | $0 | Within free tiers |
| OpenRouter + DuckDuckGo | $0-2 | Minimal usage |
| Mistral + Brave | $0 | Free tier sufficient |
Moderate (50/day):
| Combination | Monthly Cost | Notes |
|---|---|---|
| Ollama + DuckDuckGo | $0 | Free forever |
| Groq + Brave | $0 | Still within free tier |
| OpenRouter + DuckDuckGo | $5-10 | Mostly free models |
| Mistral + Brave | $0-5 | May hit free tier limits |
Heavy (200/day):
| Combination | Monthly Cost | Notes |
|---|---|---|
| Ollama + DuckDuckGo | $0 | Free forever |
| Groq + Brave | $0-10 | May need paid tier |
| OpenRouter + DuckDuckGo | $20-40 | Free+paid models |
| Mistral + Brave | $15-30 | Paid tier required |
Annual Savings vs Paid APIs:
- Light: $360-600/year
- Moderate: $900-1,380/year
- Heavy: $2,040-4,440/year
Hidden Costs
- Ollama: Electricity ($2-5/month), hardware wear negligible
- Cloud APIs: No hardware/electricity cost
- SearXNG: VPS $5-10/month, domain optional, 1-2hr/month maintenance
Apidog Integration for API Testing
OpenClaw + Apidog supercharges API testing workflows.
Apidog:
- API design, docs, manual testing, team collaboration
OpenClaw:
- Automated test execution, monitoring, regression, alerts
How-to:
- Design APIs in Apidog
- Export as OpenAPI 3.0
- Configure OpenClaw to use exported spec
- Create tasks: "Run all API tests daily", "Monitor endpoints"
- OpenClaw automates tests, sends alerts
Troubleshooting Common Issues
1. Ollama Model Not Found
Error: Error: model 'llama3.3:8b' not found
Solution:
ollama pull llama3.3:8b
ollama list
# Restart OpenClaw
2. Groq Rate Limit Exceeded
Error: 429 Too Many Requests
Fix:
REQUEST_DELAY=2000 # 2 seconds between requests
Or switch high-volume tasks to Ollama, or upgrade to Groq paid tier.
3. DuckDuckGo Search Blocked
Error: Search failed: Rate limited
Fix:
SEARCH_DELAY=3000 # 3 seconds
Or switch to Brave Search or self-hosted SearXNG.
4. Slow Ollama Performance
Problem: 20+ seconds per response
Fix:
-
Use smaller model:
ollama pull llama3.3:8b -
Increase RAM allocation:
OLLAMA_MAX_LOADED_MODELS=1 OLLAMA_NUM_PARALLEL=1 -
Use GPU if available (Ollama auto-detects)
ollama ps For speed, use Groq for critical tasks.
5. OpenRouter Credits Depleted
Error: Insufficient credits
Fix:
# Check usage
# Use free models:
MODEL_NAME=meta-llama/llama-3.3-8b-instruct:free
MODEL_NAME=mistralai/mistral-7b-instruct:free
# Or add more credits (min $10)
6. Brave Search API Key Invalid
Error: 401 Unauthorized
Fix:
curl -H "X-Subscription-Token: YOUR_KEY" \
"https://api.search.brave.com/res/v1/web/search?q=test"
Regenerate key if needed, check free tier limits.
7. OpenClaw Not Executing Tasks
Problem: No action on commands
Fix:
tail -f logs/openclaw.log
# Test API 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"}]}'
# Restart OpenClaw
pkill -f openclaw
npm start
Conclusion
Free LLMs make OpenClaw accessible to everyone.
- Recommended: Groq + Brave Search for fast, reliable, free (moderate usage), easy setup.
- Zero cost: Ollama + DuckDuckGo for privacy, unlimited use, no API keys.
- Flexible: OpenRouter + DuckDuckGo for model variety and pay-as-you-go.
Combine with Apidog for automated API testing: design in Apidog, test/monitor in OpenClaw. Saves time, keeps costs near zero.
Start free, test with your workflow, upgrade only if needed. The AI assistant revolution doesn't require a big budget—just the right setup.
FAQ
1. Can I use OpenClaw completely free?
Yes. Use Ollama (local LLM) and DuckDuckGo (no API key). $0/month, suitable for personal use. Only cost: electricity.
2. Which free LLM is fastest with OpenClaw?
Groq is fastest (1-2s/response, 14,400 free/day). Ollama is slowest (5-15s/response).
3. Do I need a powerful computer for Ollama?
16GB RAM for 7B models, 32GB+ for 70B. Less? Use Groq or OpenRouter instead. GPU helps.
4. How do I integrate OpenClaw with Apidog?
Export your API collection from Apidog as OpenAPI 3.0. Point OpenClaw to it. Set tasks like "Run all API tests daily"—OpenClaw automates the rest.
5. What happens when I hit Groq’s free tier limit?
Requests fail with 429 error. Add delays between requests, switch background tasks to Ollama, or upgrade to Groq paid tier.
6. Is DuckDuckGo search good enough for OpenClaw?
Yes, for most tasks. Lacks some depth vs Google. For better quality, use Brave Search (2,000 free/month).
7. Can I switch between different LLMs?
Yes, with OpenRouter. Access 100+ models from one API—use free for basics, paid for complex.
8. How much does heavy OpenClaw usage cost with free LLMs?
- Ollama + DuckDuckGo: $0/month, unlimited
- Groq + Brave: $0-10/month (200 req/day)
- OpenRouter: $20-40/month (mixing models)
- GPT-4 setup: $200-400/month
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