Meta has officially expanded its artificial intelligence portfolio with the release of Muse Spark 1.1, an upgraded coding model designed to intensify the company's competition with industry leaders such as OpenAI, Google, and Anthropic. Following the April debut of its initial in-house generation, this updated model represents a marked technical advancement driven by direct developer feedback. The new iteration introduces enhanced capabilities for complex code generation, automated bug detection and resolution, and robust support for end-to-end agentic workflows, including multi-agent orchestration across diverse applications. Additionally, Muse Spark 1.1 now features native multimodal perception, allowing it to process and interpret images, videos, and documents alongside traditional codebases. The release coincides with broader strategic efforts by Meta to justify substantial financial investments in AI infrastructure following recent corporate restructuring and high-profile executive recruitment. Muse Spark 1.1 is immediately available to consumers in Thinking mode through the Meta AI mobile application and official website. For software engineers and enterprise developers, the model is now accessible via a newly launched Meta Model API, which entered public preview today for United States-based users. To encourage adoption, the company is providing twenty dollars in complimentary computing credits to every newly registered API account. Historically, the original Muse Spark architecture was distributed exclusively through Meta AI before eventually integrating into Instagram and WhatsApp chat interfaces, as well as Meta's latest smart glasses hardware. The continued expansion of the Muse ecosystem, which recently included the controversial Muse Image generation tool, underscores Meta's coordinated strategy to achieve technological parity with rival firms. By opening its coding infrastructure to external developers through the API, Meta aims to accelerate third-party integration, foster ecosystem growth, and establish a dominant foothold in the rapidly evolving enterprise AI landscape.