AI model library

Meta's frontier multimodal reasoning model for personal and professional agents, long-horizon coding, and computer use. It accepts text, image, video, audio, and PDF input, and features Active Memory for carrying context across conversations and Active Focus for persisting through blockers.

Muse Ember is Meta's smallest and most efficient reasoning model, built for high-volume agent work such as tool calls, coding subtasks, routing, extraction, and long-document parsing. It accepts text, image, video, audio, and PDF input with a 1M-token context window.