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AI-coding · GCP

Magic

Magic’s public evidence points to a proprietary, long-context model stack centered on its own LTM models rather than a packaged third-party LLM. The clearest infrastructure signal is a Google Cloud partnership for AI supercomputers, but the public record does not expose a full production data stack or compliance posture.

Foundation proximity: Native (own / self-hosted weights)

Foundational models & how they consume them

PrimaryMagic LTM-2 / long-context LTM models· Magic · Native (own / self-hosted weights)

SecondaryMagic LTM-1· Magic · Native (own / self-hosted weights)

Cloud & datastore

GCP

Compliance

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Similar companies

Poolside Tabnine Cognition (Devin)Lovable Windsurf (Codeium)

Head-to-head: Magic vs Poolside Magic vs Tabnine Magic vs Cognition (Devin)

Others that build on proprietary / self-built models

Abnormal Security Abridge Adobe AI21 Labs Aleph Alpha Ambience

Explore

More AI-coding →Native (own / self-hosted weights) →More on GCP →

FAQ

Does Magic use a foundational AI model?

Magic uses Magic LTM-2 / long-context LTM models, Magic LTM-1 (Native (own / self-hosted weights)).

What cloud does Magic run on?

Magic runs on GCP.

How close does Magic run to the foundational model?

Magic is Native (own / self-hosted weights) — close to the metal, so cheaper tokens and more control over outputs.

Sources

Also on the map

proprietary / self-built models

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Architecture inferred from public sources · confidence medium · verify before betting on a detail.