Introducing Muse Spark 1.1
Simon Willison Simon Willison ● Covered by 2 sources
Meta released Muse Spark 1.1, an updated version of its Spark language model that now includes API access for the first time. The model demonstrates improvements in agentic tool calling and computer use capabilities according to Meta's evaluation report. Developers can now access the model through a new LLM plugin that provides both command-line and Python library interfaces.
Why it matters
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: Tags: ai, generative-ai, llms, llm, meta, pelican
