Apple On-Device
Apple On-Device has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Released
- 2024-06-11
- Parameters
- 3B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
Apple's on-device large language AI model is an integral part of its Apple Intelligence system, featuring approximately 3 billion parameters tailored for efficient use on Apple devices 13. Built on a transformer architecture, it includes optimizations like grouped-query attention and quantization to enhance speed and lower memory usage 1. This model excels in tasks such as text summarization, writing assistance, and responding to user prompts, though its size limits the complexity it can handle compared to larger server models 13. Designed for deployment on A17 Pro chip devices (iPhone 15 Pro and Pro Max) and M-series Macs, it leverages LoRA adapters for task-specific fine-tuning, optimizing flexibility without maintaining multiple full model copies 5. Apple prioritizes responsible AI use, emphasizing human feedback and safety in its development process 1.
Apple On-Device is a model in the Apple Intelligence On-Device family. No headline benchmark score is tracked for Apple On-Device yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.