Meta has introduced Muse Spark Open, an open-weight model with 816 billion parameters that handles text, images, video and audio with context windows up to one million tokens. According to the report, it performs roughly on par with the most capable open-weight Chinese models on benchmarks and is optimized to run locally on Apple's M5 Ultra. The release positions Meta against Qwen, GLM and Kimi in the open-weight race.
It signals a major new open-weight multimodal release from Meta that directly competes with leading Chinese open models, which matters to anyone choosing or building on open models.
Meta's Muse Spark Open is a new open-weight model with 816 billion parameters that processes text, images, video, and audio with up to one million tokens of context. It performs roughly on par with the most capable open-weight Chinese AI models on benchmarks and is optimized to run locally on APPle's M5 Ultra.
The article Muse Spark Open is Meta's answer to Qwen, GLM, and Kimi in the open-weight race appeared first on The Decoder.
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