If you want to use AI to sort through folders of screenshots, family photos, product images, and illustrations, accuracy is everything. One hallucinated detail means a misfiled image. One misread action means a wrong label. At scale, small error rates compound into a mess that takes longer to fix than doing it by hand.I ran a visual understanding benchmark across five AI models to find out which ones you can actually trust. Can a cheaper, faster model like Claude Haiku 4.5 or Gemini 3.1 Image Flash (Google Nano Banana 2) match Claude Opus 4.6 on visual accuracy - and what does it cost to run each at scale?Thanks for reading! Subscribe for free to receive new posts and support my work.Some can. Some absolutely cannot. One model hallucinated a sad face that does not exist. Another read “Reconnect” as “Configure.” The gap between the best and worst was not subtle.The short version, in this benchmark: Tier 1 (trust unsupervised): Opus 4.6, Gemini 3.1 Image Flash -- zero hallucinations…
No comments yet. Log in to reply on the Fediverse. Comments will appear here.