GPT-5.6 Sol is OpenAI's Best Vision Model to Date
Key point
OpenAI's GPT-5.6 lineup demonstrated significant performance improvements in vision tasks such as object detection and counting.
Details
OpenAI's GPT-5.6 lineup (Sol, Terra, Luna) delivers performance optimized for UI agents and desktop application manipulation, based on enhanced vision understanding.
-
Object Detection: The Sol model recorded 46.2 on mAP@50, achieving overwhelming progress compared to GPT-5.5 (13.8). It excels in document layout detection and maintains high detection capabilities in scenes with dense objects. For optimal results, it is recommended to prompt the model to use the XYXY coordinate system, and resizing or cropping is necessary for stability with large images exceeding 2,000 pixels.
-
Object Counting: Sol achieved an accuracy of 73.0%. It demonstrated excellent performance even in tasks with complex conditions, such as counting overlapping objects or only objects within specific zones.
-
OCR and Data Extraction: It maintains performance levels similar to GPT-5.5. Its strengths lie in reading text within complex visual environments and adhering to instructions for extracting specific data (Instruction following).
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.