Meta publicly launched a new version of Muse Spark on Thursday, a multimodal AI model designed for agentic coding that aims to compete with similar products offered by OpenAI and Anthropic.
Spark 1.1, the first version of which was announced in April, can engage in multistep reasoning and handle complex processes, manage digital workflows, and deploy new features in enterprise systems.
At its core, Muse Spark is a natively multimodal reasoning model. Unlike previous iterations that "stitched" vision and text together, Muse Spark was rebuilt from the ground up to integrate visual information across its internal logic. This architectural shift enables "visual chain of thought," allowing the model to annotate dynamic environments—identifying the components of a complex espresso machine or correcting a user's yoga form via side-by-side video analysis.
Meta is releasing a new tool it hopes will encourage developers to use its family of Llama models for their next project. At its inaugural LlamaCon event in Menlo Park on Tuesday, the company announced the Llama API. Available as a limited free preview starting today, the tool gives developers a place to experiment with Meta's AI models, including the recently released Llama 4 Scout and Maverick systems.