Meta says its new AI model is ready to compete on coding
After reentering the AI race with its first in-house Muse Spark model in April, Meta is now opening up the doors to developers with a new model that can plug into AI coding software with the new Meta Model API. Meta says that Muse Spark 1.1 is a "step-change" from the first generation, with improvements based on feedback from developers. The company says it's capable of more advanced coding, including detection and fixing of complex bugs; better supports end-to-end agentic work
Get smart on it
Meta has released a new AI coding model called Muse Spark 1.1 that developers can now access through a public API preview. The model includes improvements for detecting and fixing complex bugs, supporting multi-agent workflows, and processing images, videos, and documents. This release is part of Meta's broader effort to compete with other major AI companies after investing billions in AI development, and the company is offering $20 in free credits to new developers who use the API.
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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
