Introducing Muse Spark 1.1

<p><strong><a href="https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/">Introducing Muse Spark 1.1</a></strong></p> Following <a href="https://simonwillison.net/2026/Apr/8/muse-spark/">Muse Spark in April</a>, 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.</p> <p>There are a lot more details are in the <a href="https://ai.meta.com/static-resource/muse-spark-1-1-evaluation-report">Muse Spark 1.1 Evaluation Report</a>. 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:</p> <blockquote> <p>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.</p> </blockquote> <p>I had a few days of preview access which was long enough to put together <a href="https://github.com/simonw/llm-meta-ai">llm-meta-ai</a>, a new plugin for <a href="https://llm.datasette.io/">LLM</a> providing CLI (and Python library) access to the model. Here's how to try that out:</p> <pre><code>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" </code></pre> <p>Here's <a href="https://tools.simonwillison.net/markdown-svg-renderer#url=https%3A%2F%2Fgist.github.com%2Fsimonw%2F4117330e4110279a172ed4876057816d">that pelican transcript</a>:</p> <p><img alt="The bicycle is the correct shape. The pelican is a little blocky but still recognizable as a pelican." src="https://static.simonwillison.net/static/2026/muse-spark-1.1.png" /> <p>Tags: <a href="https://simonwillison.net/tags/ai">ai</a>, <a href="https://simonwillison.net/tags/generative-ai">generative-ai</a>, <a href="https://simonwillison.net/tags/llms">llms</a>, <a href="https://simonwillison.net/tags/llm">llm</a>, <a href="https://simonwillison.net/tags