Opus, Sonnet, and Haiku Face Off: Browser Automation Showdown!
research#llm📝 Blog|Analyzed: Feb 28, 2026 17:00•
Published: Feb 28, 2026 16:15
•1 min read
•Zenn ClaudeAnalysis
This article provides a fascinating look into the performance differences between different Large Language Models (LLMs) when used for browser automation tasks! The study compares the speed, token usage, and success rates of Opus, Sonnet, and Haiku, offering valuable insights into which model excels in this practical application.
Key Takeaways
- •Opus 4.6 demonstrated the most stable performance with the highest success rate, though slightly slower.
- •Sonnet 4.6 offers a balance of speed and cost-effectiveness but has a less consistent success rate.
- •Haiku 4.5 did not function effectively for browser automation in this evaluation.
Reference / Citation
View Original"Opus 4.6 is slightly inferior in execution time and token count, but is stable with a high success rate. Sonnet 4.6 is faster and cheaper, but the success rate varies. Haiku 4.5 is not suitable for E2E tests because it does not use agent-browser spontaneously."