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Choosing the Optimal Image Input Detail Level in LLMs

calendar_today July 7, 2026 domain openrouter

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.

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