GPT 5.6 Sol is the best "vision" model OpenAI ever released
Blog post from Roboflow
OpenAI's recent release of the GPT-5.6 lineup, including the Sol, Terra, and Luna models, represents a significant advancement in their visual language models (VLMs), focusing on enhancing capabilities in object detection, counting, and document layout understanding. The Sol model, in particular, exhibits substantial improvements over its predecessor, GPT-5.5, notably achieving a higher mean average precision in object detection and improved counting accuracy, though it still faces challenges with large images and complex scenes. While OCR performance remains similar to GPT-5.5, Sol excels in extracting embedded text from intricate visual contexts, despite occasional failures in tasks involving low-contrast or reflective surfaces. Despite these gains, the models require higher token usage, impacting processing costs and latency, making Gemini 3.5 Flash a more cost-effective option for large-scale tasks. Nonetheless, GPT-5.6 marks OpenAI's strengthened focus on vision tasks, positioning it as a competitive choice for screen understanding, document workflows, and visual reasoning applications.
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