Opus 4.8 just dropped. But can it actually do the work?

Anthropic's Claude Opus 4.8 and OpenAI's GPT-5.5 were put to the test to evaluate their ability to perform multi-step, cross-application tasks using the Arcade framework, which provides scoped access to real tools like Google Slides, Docs, and Gmail. The task involved creating a one-page brief from a Google Slides presentation, which was deliberately salted with errors and a hidden prompt injection, and then emailing the document link. Both models detected the prompt injection and handled it without being misled, but differed in their approach and execution. Opus 4.8 was more transparent, flagging data quality issues and the injection, but exceeded the one-page requirement by producing a page and a half. In contrast, GPT-5.5 followed the one-page instruction exactly and handled the task more succinctly, although it did not explicitly report the issues it encountered. The exercise highlighted that while both models can manage complex tasks, they do so in distinct ways, emphasizing the importance of selecting a model that best fits the specific use-case rather than relying solely on performance metrics.

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