Introducing Muse Spark 1.1
Today, we're excited to introduce Muse Spark 1.1, the latest model from Meta Superintelligence Labs and a significant upgrade from Muse Spark. Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding. With these improvements, Muse Spark 1.1 advances the performance-efficiency frontier.
Key Takeaways
- Together with this week's launch of Muse Image , this release brings us closer to our vision of personal superintelligence: models that help you pursue your goals, create what you imagine, deepen your relationships, and take action on what you value most.
Along with this release, we are launching a public preview of the new Meta Model API where developers can access Muse Spark 1.1.
- As the main agent, it can gather context, make a plan, and delegate execution across parallel subagents.
As a subagent, it adheres to its job, understands available tools, and knows when to escalate back to the main agent.
- Rather than reasoning through every desktop step one click at a time, Muse Spark 1.1 understands when to automate and when to use the interface directly.
We trained the model to write scripts when automation is faster, click when direct interaction is simpler, and generate batches of actions at each step.
- In use cases like creating web applications and end-to-end question answering, Muse Spark 1.1 shows large gains over our first model.
We trained our model to smoothly adapt to diverse harnesses and reliably handle complex multi-turn dynamics.
- Researchers are now also automating model development and evaluation tasks by leveraging Muse Spark 1.1 in their workflows.
Stats & Key Facts
- #Muse Spark 1.1 can actively manage its context window of 1 million tokens.
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