Meta enters the crowded AI coding battle with Muse Spark 1.1

Meta has publicly launched Muse Spark 1.1, a multimodal AI model designed for agentic coding, entering a competitive market dominated by OpenAI and Anthropic. The company says the model can engage in multistep reasoning, handle complex processes, manage digital workflows, and deploy new features in enterprise systems. Meta is pricing the model at $1.25 per million input tokens and $4.25 per million output tokens, which puts it in line with competitors like Anthropic’s Claude Haiku 4.5 and OpenAI’s GPT-5.6 Luna. Meta’s pitch to users emphasizes Spark’s ability to handle large agentic workloads, fix bugs, and assist with large code migrations. The company wrote in a blog post that the model "delivers exceptional performance in personal agentic tasks that require planning and orchestration across a range of external apps and services." The release was significant enough to compel CEO Mark Zuckerberg to post on X for the first time in three years, calling Spark "a strong agentic and coding model at a very low price" and noting that there was "more to come soon."