ai
Meta Launches Muse Spark 1.1 AI Model for Agentic Coding
Meta released Muse Spark 1.1 on Thursday, a multimodal model built for multistep reasoning and enterprise workflows. The update follows the initial version announced in April and carries usage fees of $1.25 per million input tokens and $4.25 per million output tokens.
Jul 9, 3:40 PM·1m read1 source
airedale.futurecdn.netAudio version
Tap play to generate a narrated version.
Developing·Limited corroboration so far. This page will refresh as more sources emerge.
Meta publicly launched Muse Spark 1.1 on Thursday, a multimodal AI model for agentic coding that performs multistep reasoning, manages digital workflows, and deploys features in enterprise systems. TechCrunch reported that the model targets large agentic workloads, bug fixes, and code migrations. The first version of Muse Spark was announced in April.
Meta will charge $1.25 per million input tokens and $4.25 per million output tokens, according to Reuters data cited by TechCrunch. Those rates sit slightly above Anthropic’s Claude Haiku 4.5 and OpenAI’s GPT-5.6 Luna. “Muse Spark 1.1 delivers exceptional performance in personal agentic tasks that require planning and orchestration across a range of external apps and services,” Meta stated in a blog post.
CEO Mark Zuckerberg posted on X for the first time since July 2023 to promote the release.
Transparency
How sources framed this
Single source — no framing comparison available.
CorroborationModerate · 1 source
