Grok 4.5 crushes competitors in browser AI agent tests: the new leader in autonomy
Developers are actively creating AI assistants capable of independently interacting with websites: opening pages, clicking buttons, filling out forms, and collecting information. Such agents can, at a user's command, book a ticket or analyze data from a site—all without human involvement.
A recent comparative test conducted by Browser Use creator Gregor Zunic showed that a tool based on xAI's Grok model handles this task significantly better than its competitors. This is not just a benchmark victory but a signal of a paradigm shift in the segment of autonomous browser agents.
Who Showed the Best Result
Analysts evaluated five tools using a single criterion—the frequency of successfully completing a task on a website without errors. The higher the indicator, the more reliable the agent.
The leader by a wide margin was Grok: its agent correctly completed 76.42% of tasks. In second place was the assistant from OpenAI with a result of 72.70%. Next came two agents from Anthropic with scores of 70.75% and 67.92%. Closing the ranking was GPT via the OpenClaw plugin—only 60.38% successful completions.
Each assistant operates on its own base AI model. Grok uses the Grok 4.5 model, OpenAI tools use GPT 5.5, and Anthropic solutions use Opus 4.8. It is the model, as the system's "brain," that makes decisions, while the agent itself merely adds the ability to control the browser.
What to Consider
The tests clearly demonstrate that, all else being equal, the choice of AI model plays a decisive role. Grok 4.5 objectively outperforms its competitors in autonomous web surfing tasks. However, the method of connecting to the browser is also important: for the same assistant from Anthropic, the result varied by nearly three percentage points depending on the integration method with the site.
My expert opinion: Grok 4.5's superiority in this benchmark is no coincidence. It indicates targeted work by xAI to improve the model's ability to perform sequential actions in a real digital environment. This is especially important for the crypto industry: autonomous agents could radically simplify interaction with DeFi protocols, DEXs, and NFT marketplaces, performing routine operations for the user. If this trend continues, we can expect a boom in AI automation in Web3.