Muse Spark 1.3 tracks context and prior results, works through messy or conflicting inputs, and asks for input when needed.
Competitive coding performance
Tuned for long-horizon coding workflows, with fewer unnecessary turns and cleaner output. Whether you’re building coding agents or using AI as a development partner, it performs competitively with frontier models across several coding evals.
Native multimodal perception
Muse Spark perceives video, images and documents, and its visual reasoning runs through a real execution environment instead of scripted steps. Feed it a screenshot or a clip and let it build.