# Introducing Muse Spark 1.1
Source: [https://simonwillison.net/2026/Jul/9/muse-spark-1-1/](https://simonwillison.net/2026/Jul/9/muse-spark-1-1/)
9th July 2026 \- Link Blog
**[Introducing Muse Spark 1\.1](https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/)**\. Following[Muse Spark in April](https://simonwillison.net/2026/Apr/8/muse-spark/), 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](https://ai.meta.com/static-resource/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](https://github.com/simonw/llm-meta-ai), a new plugin for[LLM](https://llm.datasette.io/)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](https://tools.simonwillison.net/markdown-svg-renderer#url=https%3A%2F%2Fgist.github.com%2Fsimonw%2F4117330e4110279a172ed4876057816d):

Meta releases Muse Spark 1.1, a new AI model for advanced coding tasks including bug detection and agentic workflows, available via the Meta Model API.