GPT-5.5 is positioned as a major step forward, designed to handle complex, real-world workflows across tools, files, and systems—not just isolated prompts. Its benchmark scores are strong, especially in operating computer environments (OSWorld-Verified) and knowledge-work tasks (GDPval), and early demos show it can complete sophisticated tasks quickly, like building apps from a single prompt.

However, the pricing has doubled compared to GPT-5.4, which raises concerns at first glance. The key point is that cost shouldn’t be judged by token price alone. Instead, companies should evaluate cost per completed task. If GPT-5.5 reduces errors, retries, and human intervention, it may actually be more cost-effective despite higher pricing.

The broader takeaway is that AI model usage is starting to resemble cloud architecture: teams will route simpler tasks to cheaper models and reserve more powerful (and expensive) models like GPT-5.5 for complex, high-value work.