# Meta Open Sources Multimodal Large Model Muse Spark

- Category: Flash (快讯)
- Published: 2026-10-16T11:56:00.000Z
- Source date: 2026-10-16
- HTML: https://www.88z.ai/en/news/flash-20261016-07926ae88330ff38
- Markdown: https://www.88z.ai/en/news/flash-20261016-07926ae88330ff38.md
- Other language: https://www.88z.ai/news/flash-20261016-07926ae88330ff38.md

Meta has released Muse Spark, an open-source native multimodal model featuring a mixture-of-experts architecture with 816 billion total parameters and 42 billion active ones. Supporting a million-token context, it targets coding and agents. While topping six benchmarks and claiming to be the strongest US open-weight model, it trails Chinese counterparts like Kimi, Qwen, and Zhipu in software development.

## At a glance

- Muse Spark features 816B total parameters and a million-token context, focusing on coding and agents.
- Despite topping six benchmarks, it trails Chinese models like Kimi and Qwen in software development.

## The update

Meta has officially open-sourced its native multimodal large model, Muse Spark. Built on a mixture-of-experts architecture, the model features 816 billion total parameters with 42 billion active ones, and supports a context window of one million tokens. Its primary applications focus on code generation and agent tasks. Meta claims that Muse Spark is the strongest open-weight model in the United States, achieving first place in six benchmark tests. However, in specific areas such as software development, the model still lags behind Chinese open-source counterparts like Kimi, Qwen, and Zhipu, indicating a gap in performance for these particular tasks compared to top Chinese models.

## Sources

- [财联社](https://mp.weixin.qq.com/s/KqoOmBDsYqdhXB4BLvPPBA) (2026-10-16)

This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.