Gemini 1.5 Pro is an innovative model designed to enhance long context understanding, particularly in complex coding environments. It demonstrates remarkable proficiency in navigating and manipulating extensive codebases, such as the three.js example code comprising over 800,000 tokens. The model adeptly identifies relevant examples for specific learning objectives, such as character animation, by sifting through hundreds of examples to find the most suitable ones. It can also interpret and modify code based on user prompts, adding functionalities like sliders to control animation speeds using familiar GUI libraries. Moreover, Gemini 1.5 Pro can process multimodal inputs, matching screenshots to corresponding code demos and providing precise instructions for code alterations, like flattening terrain in a 3D scene or enhancing text material properties for a shinier appearance. These capabilities underscore the potential of Gemini 1.5 Pro to handle up to 1 million multimodal tokens, paving the way for advanced code understanding and customization in various applications. The model’s experimental nature means it is still being optimized, with response times subject to variability. However, its current performance offers a glimpse into the future of coding assistance and the transformative impact of AI on software development.