TLDRs;
- Meta launched Muse Spark 1.1, a new AI coding model targeting enterprise automation and software development workflows.
- Competitive pricing positions Spark 1.1 against OpenAI and Anthropic offerings in the rapidly expanding AI market.
- The model supports multistep reasoning, bug fixing, code migration, and orchestration across external applications.
- Mark Zuckerberg promoted the release on X, signaling Meta’s intensified push into agentic AI tools.
Meta Platforms shares moved higher after the company unveiled Muse Spark 1.1, a new multimodal artificial intelligence model focused on agentic coding and enterprise automation. The release marks Meta’s latest effort to challenge established competitors such as OpenAI and Anthropic in one of the fastest-growing segments of the AI industry.
The new model expands on the original Muse Spark introduced earlier this year. According to Meta, Spark 1.1 is designed to perform multistep reasoning, manage complex digital workflows, and assist organizations in deploying new features across enterprise systems. The company says the model can also help developers identify bugs and handle large-scale code migrations.
Competitive pricing strategy
One of the biggest talking points surrounding the launch is pricing. Meta has positioned Spark 1.1 aggressively, charging $1.25 per million input tokens and $4.25 per million output tokens. Those rates place the model near competing offerings from Anthropic and OpenAI, making cost a central part of Meta’s competitive strategy.
In the AI infrastructure market, pricing remains a major battleground. Enterprises are increasingly evaluating models not only on performance but also on the total cost of running large-scale AI workloads. By entering the market with pricing close to leading rivals, Meta is attempting to lower barriers for companies considering alternative AI providers.
Focus on enterprise automation
Meta is promoting Spark 1.1 as a tool capable of handling substantial agentic workloads. The company says the model can plan tasks, coordinate actions across multiple applications, and automate processes that would otherwise require significant human oversight.
We’re excited to introduce Muse Spark 1.1, a significant upgrade from the first Muse Spark model we released earlier this year.
Along with this release, we are launching a public preview of the new Meta Model API where developers can access Muse Spark 1.1.
The model is also… pic.twitter.com/bpwPlxwWDq
— AI at Meta (@AIatMeta) July 9, 2026
In a company statement, Meta said Muse Spark 1.1 delivers exceptional performance in personal agentic tasks that require planning and orchestration across a range of external apps and services.
That positioning reflects a broader trend in the AI industry. Businesses are increasingly looking for systems that can do more than generate text. They want AI that can interact with software tools, execute workflows, and assist with day-to-day operational tasks.
Zuckerberg returns to X
The launch was significant enough to draw public attention from Meta CEO Mark Zuckerberg. Zuckerberg posted on X for the first time in roughly three years to highlight the new model.
He described Spark as a strong agentic and coding model at a very low price and said it performs particularly well in agentic performance, tool use, and computer use.
Zuckerberg also hinted that additional AI releases are on the way, writing that there is more to come soon. The comment suggests Meta’s current rollout may be part of a broader product roadmap aimed at expanding its AI portfolio.
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