LLM Reference
Apple Machine Learning Research

Apple Machine Learning Research

8 models across 4 families · Latest: DCLM 7B (2024-07)

On-device AI prioritizes user privacy

Apple Machine Learning Research's portfolio covers 8 active models across 4 current families, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.

Covers 0 workload areas across 8 active tracked models; last verified 2026-05-19.

Use it for

  • Teams evaluating general LLM work across this lab's releases
  • Comparing model families before committing to a flagship
  • Migration and pricing follow-ups across 8 tracked models

Do not use it for

  • Choosing a hosting provider without opening a model page for price ladders

Active models

8

Current models from this lab, excluding deprecated ones

Active families

4

Current model families from this lab

Open catalog

2 open

2 open source / 0 open weights

Lowest output price

Not tracked

No provider output pricing linked yet

Latest dated release

2024-07-15

DCLM 7B

Freshness

2026-05-19

Researched 106d ago

stale

Information

Founded1976
Cupertino, California, United States

Release cadence

Dated releases
5
Latest model
DCLM 7B
Latest date
2024-07-15

Where this lab wins

Not enough capability or benchmark coverage yet to call strengths for this lab.

Flagship quality / price signal

Flagship
OpenELM 270M
Selection source
Best sourced coding Q/$
Coding grade
unknown
Benchmark / output price
Not enough sourced benchmark and price coverage

About

Apple Machine Learning Research is at the forefront of technological advancements in the realm of generative AI and Large Language Models (LLMs). As a division of Apple Inc., which was founded in 1976, this team has been instrumental in driving innovation, with a particular emphasis on integrating AI functionalities directly onto devices to ensure enhanced user privacy and operational efficiency. Apple’s distinct approach to AI development is evident in its commitment to on-device processing, which minimizes reliance on cloud-based systems, thereby safeguarding user data and ensuring quicker response times.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
DCLM 7B2024-07-152k--Apache 2.0Open source
DCLM 7B 8K2024-07-158k--Apache 2.0Open source
Apple Server2024-06-11---ProprietaryProprietary

Model families

Recent releases

  1. DCLM 7B- 2024-07-15
  2. DCLM 7B 8K- 2024-07-15
  3. Apple Server- 2024-06-11
  4. Apple On-Device- 2024-06-11
  5. OpenELM 270M- 2024-04-22

Explore related pages

Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.