Meta has introduced Muse Spark 1.1, a multimodal AI model built for agentic coding and positioned to compete with offerings from OpenAI and Anthropic. The new version is designed to support multi-step reasoning, automate complex digital workflows, and assist with enterprise feature deployment.
According to Meta, Spark 1.1 is aimed at demanding coding tasks such as bug fixing, large-scale code migration, and coordinated work across apps and services. The company says the model is especially strong in planning, orchestration, tool use, and computer use, making it relevant for teams looking to streamline development processes.
Pricing is also part of Meta's strategy. The model is set at $1.25 per million input tokens and $4.25 per million output tokens, placing it close to competing systems in the fast-moving AI coding market. That signals Meta's intent to attract developers and enterprises with both capability and cost efficiency.
The launch adds to a busy period for Meta's AI roadmap, following its recent image-generation release. With more models reportedly on the way, the company is clearly building a broader ecosystem around practical AI tools for work and creation. The next phase of AI may be shaped by models that combine coding power, automation, and affordability in one platform.
