Meta Releases Muse Spark Update in US
Meta has launched Muse Spark 1.1 in the US public preview, offering developers access to tools for coding assistance, file inspection, and complex software tasks at a lower cost than similar models from OpenAI and Anthropic. The model is priced starting at $1.25 per million input tokens and $4.25 per million output tokens.
Muse Spark 1.1 features a context window of one million tokens, according to Meta. It can handle writing and debugging code, using software tools, interpreting text, images, video, and documents, and completing multi-step tasks with minimal human oversight. Developers can ask the model to interpret written instructions, review screenshots, read project files, or operate within software environments as part of a single job.
Mark Zuckerberg described Muse Spark 1.1 as “a strong agentic and coding model at a very low price,” emphasizing its strengths in agent performance and tool utilization. Meta states that the model excels at agent performance, tool use, and computer tasks.
The API pricing for Muse Spark 1.1 is $1.25 per million input tokens and $4.25 per million output tokens. In comparison, Anthropic Claude Sonnet 5 charges $2 for input and $10 for output per million tokens, with an introductory rate valid through August 31, 2026, after which prices rise to $3 and $15 respectively.
Anthropic Claude Opus 4.8 charges $5 for input and $25 for output per million tokens. OpenAI’s GPT-5.6 pricing has not yet been publicly announced for broad availability. Overall, Muse Spark 1.1 offers a competitive option at both input and output pricing levels.
Meta has indicated that Muse Spark 1.1 is compatible with OpenAI-style APIs, which could make it easier for teams to compare it with other AI models.
New preview users can redeem $20 in free credits to test the model. To get started, developers can set up API access using the endpoints provided by Meta.
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This allows testing of coding assistants, app development, and agent-based workflows before deciding to move to paid usage. Meta has not shared details about regional availability beyond the US public preview.
Developers outside the US should keep an eye out for announcements regarding international access. For engineering teams considering Muse Spark 1.1 in their production coding workflows, there are several practical considerations to keep in mind.
It is essential to establish rules for where the tool can operate and when human approval should be required before any code changes are made. Setting up logging to track changes made by the agent is also advisable.
Defining review requirements for pull requests generated or modified by the agent helps maintain oversight.
Muse Spark 1.1 is currently available in the US through Meta’s developer platform in a public preview. The launch includes a $20 free credit and a preview pricing structure.
Developers can keep an eye on Meta’s developer channels for updates on pricing, new features, and availability outside the US. The model’s compatibility with OpenAI-style APIs and lower pricing make it an attractive option for developers looking to integrate AI into their coding tools and workflows.
