Meta Releases Muse Ember: A 1M-Context Model Optimized for High-Volume Agent Workloads

Meta has released Muse Ember, a model featuring a 1 million token context window specifically engineered for high-volume agentic tasks. The model is designed to handle the kind of large-context, repetitive agent loops that are common in automated software development, document processing, and multi-step reasoning pipelines. A 1M-context window at scale enables agents to maintain coherent state across extremely long task horizons without chunking or summarization hacks. For developers building autonomous agents or pipelines that process large codebases or document corpora, Muse Ember represents a meaningful step forward in practical context capacity. Its positioning for high-volume work suggests competitive inference pricing will be a key factor in adoption.