Apple

AFM 3 Cloud Pro

Apple

AFM 3 Cloud Pro is a third-generation Apple Foundation Model published at WWDC26 as part of Apple Intelligence. The highest-capability server tier is built with Google and runs on NVIDIA GPUs through an extension of Private Cloud Compute for demanding reasoning and agentic tool use. Access is integrated into Apple operating-system features rather than provided as freely downloadable weights. Availability depends on the device, software version, and supported feature. The June 8 date records the published generation; it does not imply that every consumer feature became generally available that day.

AFM 3 Cloud

Apple

AFM 3 Cloud is a third-generation Apple Foundation Model published at WWDC26 as part of Apple Intelligence. The server workhorse advances Apple’s PT-MoE architecture for multimodal reasoning while running on Apple silicon in Private Cloud Compute. Access is integrated into Apple operating-system features rather than provided as freely downloadable weights. Availability depends on the device, software version, and supported feature. The June 8 date records the published generation; it does not imply that every consumer feature became generally available that day.

AFM 3 Core Advanced

Apple

AFM 3 Core Advanced is a third-generation Apple Foundation Model published at WWDC26 as part of Apple Intelligence. Its prompt-level expert selection loads a subset of weights from flash into DRAM, enabling a larger local multimodal model within constrained memory. Access is integrated into Apple operating-system features rather than provided as freely downloadable weights. Availability depends on the device, software version, and supported feature. The June 8 date records the published generation; it does not imply that every consumer feature became generally available that day.

AFM 3 Core

Apple

AFM 3 Core is a third-generation Apple Foundation Model published at WWDC26 as part of Apple Intelligence. The compact dense model is optimized for Apple silicon and local everyday text tasks. Access is integrated into Apple operating-system features rather than provided as freely downloadable weights. Availability depends on the device, software version, and supported feature. The June 8 date records the published generation; it does not imply that every consumer feature became generally available that day.

Apple Foundation Models 2025

Apple

The 2025 Apple Foundation Models generation adds image understanding, improved reasoning and tool use, and support for 15 languages. It pairs an approximately 3B on-device model using KV-cache sharing and 2-bit quantization-aware training with a server model using Parallel-Track Mixture of Experts and interleaved local/global attention. The Foundation Models framework exposes the on-device language model through Swift, with guided generation, tools, and task adapters; that interface should not be assumed to expose every multimodal capability described in the research report. The models remain proprietary, optimized for Apple silicon and Private Cloud Compute, with no public weight downloads.

Apple Foundation Models 2024

Apple

Apple’s first foundation language-model generation comprises a roughly 3B on-device model and a larger server model for Private Cloud Compute. Both use decoder-only Transformers with grouped-query attention and are adapted to everyday writing, summarization, extraction, and short dialogue through task-specific adapters. The models were publicly described at WWDC 2024; individual Apple Intelligence features rolled out later. Compression, efficient attention, and Apple-silicon optimization support local inference and cloud escalation. These proprietary language models are distinct from the image generators elsewhere in Apple Intelligence. Public model weights and a general hosted inference endpoint were not released.