Choosing the Optimal Image Input Detail Level in LLMs
We ran 1,730 visual reasoning questions across 5 models. Dropping image detail to "low" costs real accuracy, and on gpt-5.5 the bill went up too. The lever that reliably cuts cost is reasoning effort.