Apple has held meetings with PrismML about how it could use the startup’s technology to run much larger AI models directly on iPhones, according to The information.
The report states that PrismML successfully minified Alibaba’s large open source language model, Qwen 3.6, to fully work on an iPhone 17 Pro. The model has 27 billion parameters, which is larger than the AFM 3 Core Advanced model built into the Apple device with 20 billion parameters. Apple’s model supports iOS 27 improvements such as more expressive Siri AI voices and improved system-wide dictation on the iPhone 17 Pro and iPhone Air models.
Unlike AFM 3 Core Advanced, all settings in Qwen 3.6 can be active at the same time.
“A new Apple integrated model has 20 billion parameters but uses a so-called sparse architecture, in which only 1 to 4 billion parameters are active at a time,” the report said, referring to the AFM 3 Core Advanced. “In the case of PrismML’s integrated model, all 27 billion parameters are active at the same time.”
Larger models running directly on iPhones would allow more Apple Intelligence features to run on the device rather than on Apple’s Private Cloud Compute servers, which could reduce Apple’s costs and further improve user privacy.
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