LLM Reference
Magic

Magic

2 models across 1 family · Latest: LTM-2-mini (2024-08)

100M-token context window innovation

CodingLong contextCoding

Magic's portfolio covers 2 active models across 1 current family, spanning coding and long context. Open a model detail page to compare provider routes and sourced benchmarks.

Covers 2 workload areas across 2 active tracked models; last verified 2026-05-19.

Use it for

  • Teams evaluating coding and long context across this lab's releases
  • Comparing model families before committing to a flagship
  • Migration and pricing follow-ups across 2 tracked models

Do not use it for

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

Active models

2

Current models from this lab, excluding deprecated ones

Active families

1

Current model families from this lab

Open catalog

0 open

0 open source / 0 open weights

Lowest output price

Not tracked

No provider output pricing linked yet

Latest dated release

2024-08-29

LTM-2-mini

Freshness

2026-05-19

Researched 106d ago

stale

Information

Founded2022
San Francisco, California, United States

Release cadence

Dated releases
2
Latest model
LTM-2-mini
Latest date
2024-08-29

Where this lab wins

  • Coding: 2 tracked models with SWE-bench / HumanEval-style scores.
  • Long-context: 2 tracked models with context-token or InfiniteBench-class signal.

Flagship quality / price signal

Flagship
LTM-1
Selection source
Best sourced coding Q/$
Coding grade
unknown
Benchmark / output price
Not enough sourced benchmark and price coverage

About

Magic, a trailblazing AI research company based in San Francisco, has rapidly established itself as a pivotal force in the domain of generative AI and Large Language Models (LLMs) since its inception in 2022. The company's mission is to develop safe and beneficial Artificial General Intelligence (AGI) that can tackle significant global challenges. Instead of relying solely on human efforts, Magic emphasizes the automation of AI research and code generation. This innovative approach addresses alignment issues and enhances model reliability, setting Magic apart in the crowded AI landscape.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
LTM-2-mini2024-08-29100m--ProprietaryProprietary
LTM-12023-06-065m--ProprietaryProprietary

Model families

Recent releases

  1. LTM-2-mini- 2024-08-29
  2. LTM-1- 2023-06-06

Explore related pages

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