#115 Robin: Claude Sonnet 5.5 vs Opus 5.5 - I Tested Both on 7 Real Workflows

Claude Sonnet 5.5 and Opus 5.5 present a significant trade-off between cost and creative judgment. While Opus costs twice as much, it only outperforms Sonnet in tasks requiring high-level creative intuition or open-ended problem solving, such as motion design or complex strategic planning. For objective, repeatable tasks, Sonnet often proves more efficient, especially when users provide clear specifications or utilize custom skills. The total cost of AI usage depends heavily on "convergence"—the speed and directness with which a model reaches the desired output—rather than just the sticker price per token. Consequently, paying a premium for Opus is unnecessary for structured workflows where specific instructions can guide a cheaper model to the same result. Ultimately, success relies on matching the model's capabilities to the clarity of the project's definition and the specific requirements of the task.