Meta Superintelligence Labs Releases Muse Spark 1.1: Multimodal Reasoning Model for Agentic Tasks on Meta Model API

Meta Superintelligence Labs has released Muse Spark 1.1, a multimodal reasoning model designed explicitly for agentic task execution and available through the Meta Model API. The model targets complex multi-step workflows that require understanding across text and visual inputs, positioning it as a direct competitor to GPT-5.6 and Gemini in the agentic multimodal space. The release on Meta's own Model API is significant — it gives developers a direct programmatic path to a frontier Meta model outside of third-party API wrappers or open weights, which has not always been Meta's default strategy. For teams building agents that need to process documents, images, and structured data in a single pipeline, Muse Spark 1.1 is worth immediate benchmarking. The agentic framing suggests Meta has invested in reliable tool use and multi-turn coherence, which are the most common pain points in production agent deployments.