# GPT-5.5 and Claude Fable 5 Lag Behind Humans in ActiveVision Test AI models fall short of human performance in visual perception tests. - **Source:** [r/MachineLearning](https://www.reddit.com/r/MachineLearning) - **Published:** 2026-07-23 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/c37495a4-c185-4897-9c98-f1d52271dc35 ## What is the ActiveVision Test? ActiveVision is a benchmark designed to measure the visual perception capabilities of AI models. It consists of 17 different tasks and aims to assess repeated visual perception rather than a single static description. ## GPT-5.5's Performance GPT-5.5 solved only 10.6% of the tasks in the ActiveVision test. It scored zero on 11 out of the 17 tasks, highlighting its limitations in visual perception. ## Claude Fable 5's Results Claude Fable 5 performed even worse than GPT-5.5, solving only 3.5% of the tasks. Despite leading in reasoning and coding benchmarks, it struggled with visual perception. ## Human Performance Three human participants successfully completed 96.1% of the tasks in the ActiveVision test. These results underscore the gap between AI models and human visual perception capabilities. ## Model's Ability to Write Its Own Code The research noted that AI models couldn't patch their shortcomings by writing their own code. This indicates fundamental limitations in their visual perception abilities. ## AI's Development Journey The ActiveVision test results emphasize that AI models still need significant development in visual perception. More research and innovation are required to reach human-level performance. ## Sources covering this story - https://www.reddit.com/r/MachineLearning/comments/1v4ns8l/gpt55_scores_106_on_activevision_humans_hit_961_r/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._