OpenClaw Performance Benchmarks
Real-world performance metrics from extensive testing. Compare speed, accuracy, and resource usage across different automation scenarios.
- Test Scenarios
- 50+
- Test Scenarios
- Hours of Testing
- 500+
- Hours of Testing
- Real-World Tasks
- 10K+
- Tasks Executed
Speed Benchmarks
Web Scraping Performance
Average time to complete common web scraping tasks across different websites and complexity levels.
| Task | OpenClaw | Selenium | Puppeteer |
|---|---|---|---|
| Simple Page Load | 1.2s | 2.8s | 2.1s |
| Form Filling | 3.5s | 8.2s | 6.7s |
| Multi-Page Navigation | 8.3s | 18.5s | 15.2s |
| Data Extraction | 2.1s | 4.7s | 3.9s |
Result: OpenClaw is 2-3x faster than traditional automation tools on average.
API Interaction Speed
Time to complete API calls and data processing for common automation workflows.
| Workflow | OpenClaw | AutoGPT | Manual |
|---|---|---|---|
| REST API Chain | 4.2s | 12.8s | N/A |
| Data Processing | 2.8s | 9.5s | 30s+ |
| Batch Operations | 15.3s | 45.2s | 5min+ |
Accuracy & Reliability Tests
Task Success Rate
Percentage of tasks completed successfully without errors or manual intervention across 1,000 test runs.
Note: Success rates are based on production workloads from real users. Results may vary based on task complexity and website changes.
Error Recovery Capabilities
How well the system handles errors and recovers from failures during automation tasks.
Errors automatically corrected without human intervention
Average time to detect and recover from errors
System availability and reliability
Resource Usage
Memory Usage Comparison
Average memory consumption during typical automation workflows.
| Tool | Idle | Active | Peak | Efficiency |
|---|---|---|---|---|
| OpenClaw | 150MB | 450MB | 800MB | ★★★★★ |
| AutoGPT | 300MB | 1.2GB | 2.5GB | ★★★☆☆ |
| Selenium | 80MB | 500MB | 1.2GB | ★★★★☆ |
CPU Efficiency
Average CPU utilization during sustained automation tasks.
Single Task Performance
Multi-Task Performance
Testing Methodology
How We Test
Our benchmarks are based on rigorous testing methodologies designed to reflect real-world usage scenarios.
Diverse Test Scenarios
50+ real-world automation tasks covering web scraping, e-commerce, social media, and API workflows
Multiple Test Runs
Each scenario executed 100+ times to ensure statistical significance and reliability
Controlled Environment
Tests run on identical hardware configurations to ensure fair comparisons
Real-World Data
Production workloads and actual user tasks form the basis of our test cases
Continuous Monitoring
Ongoing testing and validation as tools and websites evolve
Transparency Note: Benchmarks are updated quarterly. Last updated: March 2026. Results may vary based on specific use cases and environments.
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