# Meta Releases Open-Weight Models Muse Glimmer and Spark 1.2

> Meta has released two new open-weight models, Muse Glimmer and Muse Spark 1.2, doubling down on Mark Zuckerberg's argument that powerful AI should not sit behind the walls of a few companies. Glimmer is the more interesting of the pair: a 30-billion-parameter model tuned for local agent workflows that can run on a single consumer GPU, letting a laptop or desktop handle function calling and agent tasks without ever phoning home to the cloud. Spark 1.2's weights are also out for anyone to download, run, and modify. The pitch is squarely aimed at both American rivals like OpenAI and Anthropic, whose best models stay closed, and at Chinese open-weight labs such as DeepSeek and Moonshot that have been setting the pace on freely available models. For builders, the appeal is control and cost: a capable model you own, run privately, and tune to your data. The open question is whether Meta can keep its releases competitive enough with frontier closed models to make that tradeoff worth taking.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Yahoo Finance · Published Thursday, September 3, 2026_

## Wortins' read

Meta has released two new open-weight models, Muse Glimmer and Muse Spark 1.2, doubling down on Mark Zuckerberg's argument that powerful AI should not sit behind the walls of a few companies. Glimmer is the more interesting of the pair: a 30-billion-parameter model tuned for local agent workflows that can run on a single consumer GPU, letting a laptop or desktop handle function calling and agent tasks without ever phoning home to the cloud. Spark 1.2's weights are also out for anyone to download, run, and modify. The pitch is squarely aimed at both American rivals like OpenAI and Anthropic, whose best models stay closed, and at Chinese open-weight labs such as DeepSeek and Moonshot that have been setting the pace on freely available models. For builders, the appeal is control and cost: a capable model you own, run privately, and tune to your data. The open question is whether Meta can keep its releases competitive enough with frontier closed models to make that tradeoff worth taking.

## Source

[Read the full story at Yahoo Finance](https://finance.yahoo.com/technology/ai/articles/meta-launches-open-weight-ai-173100073.html)

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