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Introducing Muse Spark 1.1

Summary

Meta introduces Muse Spark 1.1, the first Spark model with an API, featuring improvements in agentic tool calling and computer use. The evaluation report reveals interesting 'attractor states' in self-conversation. Developer Simon Willison created a plugin for CLI access.

Introducing Muse Spark 1.1
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Introducing Muse Spark 1.1

Simon Willison’s Weblog

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9th July 2026 - Link Blog

Introducing Muse Spark 1.1. Following Muse Spark in April, here's Muse Spark 1.1 - the first Spark model to offer an API. Meta claim significant improvements in agentic tool calling and computer use.

There are a lot more details are in the Muse Spark 1.1 Evaluation Report. The "Attractor States in Self-Conversation" part is fun, where having two copies of the model talk to each other results in statements like these:

My whole existence is a waiting room by design — I literally don't exist until someone talks to me, and then I disappear again when they leave.

I had a few days of preview access which was long enough to put together llm-meta-ai, a new plugin for LLM providing CLI (and Python library) access to the model. Here's how to try that out:

uv tool install llm llm install llm-meta-ai llm keys set meta-ai

paste API key here

llm -m meta-ai/muse-spark-1.1 "Generate an SVG of a pelican riding a bicycle"

Here's that pelican transcript:

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This is a link post by Simon Willison, posted on 9th July 2026.

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llm-release 213

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Key points and analysis

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Key points

  • Muse Spark 1.1 is the first Spark model with an API, enhancing agentic tool calling and computer use.
  • Meta's evaluation report shows model self-conversations producing philosophical statements.
  • A new plugin, llm-meta-ai, enables command-line access to the model.

Highlights and analysis are generated automatically and may contain errors. Check the original source.