Glimpse by Elorian

Glimpse is Elorian’s visual thinking model, designed to reason about the physical world based on visual input. It excels at: • Tracking objects through motion and viewpoint changes • Understanding spatial relationships and object identity • Predicting physical consequences from observations • Utilizing tools for code generation, image transformation, and video analysis This system pushes the boundaries of integrating visual representations directly into the reasoning process. It can inspect problems, revise its interpretations, and refine internal visual representations as it processes information. Glimpse is adept at observing closely, questioning initial impressions, and returning to visual evidence before formulating a response. This capability makes it highly grounded in understanding objects and their interactions within a physical space. Functioning as an agent, Glimpse is trained to use various multimodal tools, allowing it to write code, modify images, and analyze video content. It can also coordinate subagents that exchange text, visual artifacts, and internal representations to collaboratively solve complex problems. These features enable a deeper, more iterative form of visual understanding. Ideal for applications in robotics, scientific research, and creative industries, Glimpse offers robust visual comprehension for developers and researchers. It provides frontier-level performance in multimodal benchmarks, often surpassing comparable models, at a significantly lower cost. Glimpse is available through an API, with usage priced at $0.60 per million input tokens and $3.00 per million output tokens, and can be tried for free on the Elorian platform.