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AI & Agents

LM-Kit

Last updated 2026-09-15 · benchmark measured 2026-09-15 — deterministic & reproducible

LM-Kit One is a private AI application server for on-premises document intelligence.

75/100
7/7 frames
Top 60% of 14,124 measured
Legit Benchmark — the simple average of 7 measured frames. Frames we could not measure are left out of the average, never counted as zero. Every frame is shown below with its evidence.
Checked 2026-09-15 · scores move as sites change

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To cite this score: legit.show/s/lm-kit-com/2026-09-15. That address never changes; this page moves with every re-measure.

Legit.Show scored LM-Kit 75/100 on 2026-09-15, measured across all 7 frames from its public surface. legit.show/s/lm-kit-com/2026-09-15

Is LM-Kit production-ready?

Legit.Show scores LM-Kit 75 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on LM-Kit (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

What we measured

Who it's for

enterprises · developers · small companies · organizations requiring data sovereignty · document-heavy businesses

Pricing

Free for companies under $1M revenue, <10 employees, <$3M raised; Professional License required for larger companies; custom proposals available

Sources and updates

Description
Taken from lm-kit.com's own website on 2026-09-15.
Operator
LM-Kit, as named in lm-kit.com's terms, privacy page or footer.
Benchmark
Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-09-15.

Put together from public information, without LM-Kit's involvement. If anything here is wrong, tell us and a person will check it.

Visit LM-Kit → · Alternatives to LM-Kit → · How this was measured →

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