Meta Superintelligence Labs Releases Muse Spark 1.1: A Multimodal Reasoning Model for Agentic Tasks on Meta Model API
Today, Meta Superintelligence Labs released Muse Spark 1.1. Alongside it, Meta opened a public preview of the Meta Model API. That second part is the structural change. Meta’s models previously reached developers mainly as open weights. Muse Spark 1.1 is closed, hosted, and metered per token. So the question is narrow. Where does it belong in a stack you already run? What is Muse Spark 1.1? Meta describes it as a multimodal reasoning model built for agentic tasks. Reported gains ove
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Meta released a multimodal reasoning model designed for agentic tasks that can process text, images, video, and documents, with a context window of up to one million tokens. The model is available through a new paid API service rather than as open weights, priced at $1.25 per million input tokens and $4.25 per million output tokens, with the public preview currently limited to the US. According to Meta's benchmarks, the model leads in tool use and tool-augmented reasoning tasks but trails competitors on coding tasks, and it features active context management and the ability to delegate work across parallel subagents. The API is compatible with both OpenAI and Anthropic SDKs, making it a drop-in replacement for developers already using those tools.
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