Developer Tools

llmrun

Last updated 2026-10-27 · benchmark measured 2026-11-11 — deterministic & reproducible

Tool to check which local LLM models your hardware can run.

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To cite this score: legit.show/s/llmrun-dev/2026-11-11. That address never changes; this page moves with every re-measure.

Legit.Show scored llmrun 87/100 on 2026-11-11, measured across all 7 frames from its public surface. legit.show/s/llmrun-dev/2026-11-11

Is llmrun production-ready?

Legit.Show scores llmrun 87 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on llmrun (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

• Performance — 86/100
• Accessibility — 96/100
• Security — 80/100
  How this compares across the catalogue: The Web Security Baseline
• Privacy — 45/100
  How this compares across the catalogue: The Privacy Gap
• Reliability — 100/100
• Standards — 100/100
• Discoverability — 100/100

What we measured

• Security headers present: HSTS, X-Frame-Options, X-Content-Type-Options, Referrer-Policy.
• No Content-Security-Policy.
• Served over HTTPS with a valid certificate.
• Real Lighthouse performance run — 2731 ms to first byte.
• Returns a proper 404 for unknown routes.
• 3 of 3 sampled routes reachable.
• Has a reachable privacy policy.
• Sets cookies / loads scripts with no consent prompt.

Who it's for

AI developers · Machine learning enthusiasts · Local AI deployment users · GPU owners

Sources and updates

Description

Taken from llmrun.dev's own website on 2026-10-27.

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 2026-11-11.

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

Visit llmrun → · Alternatives to llmrun → · How this was measured →