The Information Machine
Following·Day 191·first covered 8 Apr 2026·5 sources

Meta Releases Muse Spark Open, Claims Most Capable US Open-Weight Model

The gist

Meta's release makes a large multimodal mixture-of-experts model freely available as open weights, which expands access to frontier-class AI capabilities outside of closed APIs. The Apple partnership extends local inference to high-end consumer hardware, broadening deployment options beyond cloud infrastructure.

The full picture

Meta released Muse Spark Open on October 15, 2026, describing it as 'the most capable US open-weight model to date' and built for coding and agentic work. The model uses a mixture-of-experts architecture with 816 billion total parameters and 42 billion active parameters, supports a 1 million token context window, and handles text, image, video, and audio natively. Apple and Meta are collaborating to allow the model to run locally on 2 to 4 connected Mac Studios, described as the first public cooperation between the two companies since 2017. Benchmark evaluations of earlier Muse Spark models show mixed results compared to competitors: Muse Spark scored third on HLE reasoning at 39.9%, behind Gemini 3.1 Pro Preview (44.7%) and GPT-5.4 (41.6%), and trailed on agentic benchmarks. Muse Spark 1.1 led the health category on HealthBench Professional but ranked below Claude Opus 4.8 and GPT-5.5 on several multimodal and reasoning evaluations.

How it developed
15 October 2026

Apple-Meta collaboration announced to run Muse Spark Open locally on Mac Studios, described as the first public cooperation between the two companies since 2017.

9 July 2026

Muse Spark 1.1 benchmark results published, showing mixed performance versus Claude Opus 4.8 and GPT-5.5 with a lead in the health category.

8 April 2026

Artificial Analysis publishes benchmark evaluation of Muse Spark, placing it third on HLE and noting weak agentic performance.

Sources
The daily email

Want this in your inbox?

I send one email each morning with the stories that moved. If you would rather just read here, that works too.

Subscribe free