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**Meta Superintelligence Labs** launched **Muse Spark**, a natively multimodal reasoning model featuring tool use, visual chain of thought, and multi-agent orchestration. It is live on **meta.ai** and the Meta AI app with a private API preview and plans for open-sourcing future versions. Independent benchmarks rank Muse Spark highly, with strong performance on intelligence indices and efficiency, notably using over 10× less compute than **Llama 4 Maverick**. Key technical highlights include training efficiency, test-time scaling, and parallel multi-agent inference. Community testing shows strengths in image-to-code and one-shot game generation. Additionally, **Zhipu AI's GLM-5.1** is recognized as a leading open-weight model with architecture similar to DeepSeek-V3.2.
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