Meta Launches New AI Coding Model Muse Spark 1.1 to Rival OpenAI and Anthropic

Meta on Thursday publicly launched a new version of its multimodal artificial intelligence model, Muse Spark 1.1, designed for agentic coding. According to the company, the model can perform multistep reasoning, handle complex processes, manage digital workflows, and deploy new features in enterprise systems.

Meta lags slightly behind competitors Anthropic and OpenAI, which have offered similar models for some time. However, Meta's entry into the market could still pose a threat, as pricing remains a key competitive factor. The company is charging $1.25 per million input tokens and $4.25 per million output tokens. This is in line with, though slightly above, Anthropic's Claude Haiku 4.5 and OpenAI's GPT-5.6 Luna.

Meta's pitch emphasizes Spark's ability to handle large agentic workloads, fix bugs, and assist with large code migrations—the kind of automation enterprises increasingly seek from AI companies. In a blog post, Meta stated: "Muse Spark 1.1 delivers exceptional performance in personal agentic tasks that require planning and orchestration across a range of external apps and services."

The significance of the release is underscored by CEO Mark Zuckerberg posting on X for the first time in three years. His last post was in July 2023, around the time the platform rebranded from Twitter to X. In his post, Zuckerberg called Spark "a strong agentic and coding model at a very low price," noting it was "strongest at agentic performance, tool use, and computer use." He also hinted that more models are coming soon.

This has been a busy week for AI announcements. Meta also unveiled a new image-generation model, Muse Image, on Tuesday. Other releases include a new version of Grok from SpaceXAI and the GPT-5.6 family from OpenAI, which also dropped Thursday. Competition in the AI industry remains fierce, and companies seeking to stand out face a significant challenge.