Browser Use 回顾浏览器智能体一年进展：准确率升至 82.0%，单任务成本降至 1.9¢
Celebrating One Year of Progress in Browser Agents
Browser Use 在首次提交一年后发布回顾，称其浏览器智能体准确率从 71.8% 提升至 82.0%，平均任务耗时从 123 秒降至 33.4 秒，单任务成本从 39.2¢ 降至 1.9¢。团队表示成本与速度问题已基本解决，可靠性仍是阻碍大规模采用的最大痛点，正着力提升准确率与模型置信度校准以改善可观测性，目标是在第二年让浏览器自动化普及。
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Announcements
One year after our first commit, we reflect on how far browser agents have come—and where they need to go next.
When we started, GPT-4o was state of the art for browser agents. Since then, we improved our library a ton and released BU 1.0. Below is a comparison of GPT-4o and BU 1.0 with latest version of our library.
We track three core metrics for our browser agents: accuracy, speed, and cost. In one year, the accuracy improved from 71.8% to 82.0%. But more importantly, we reduced average task time from 123 seconds to 33.4 seconds and dropped the cost from staggering 39.2¢ to 1.9¢ per task. It now costs less than 2 cents to complete a simple browsing task.
What's Next?
We're already at <2¢ per task and 4x faster than a year ago. The cost and speed problems are largely solved. But there's one critical dimension where browser agents still fall short: reliability.
Reliability is still the biggest pain point preventing widespread adoption. 2025 has been the year of agents, but 2026 needs to be the year of reliable agents—agents that either complete tasks successfully or fail transparently with clear diagnostics. We are working extremely hard towards not only increasing the accuracy but also the confidence calibration of our models to enable better observability.
We believe no human should waste time on repetitive work and our goal is to make browser automation ubiquitous in our second year.
Published November 12, 2025