AI & Agents
Models at a glance
Last updated 2026-07-25 · benchmark measured 2026-09-08 — deterministic & reproducible
Overview of foundation models available through Amazon Bedrock.
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To cite this score: legit.show/s/docs-aws-amazon-com/2026-09-08. That address never changes; this page moves with every re-measure.
Legit.Show scored Models at a glance 64/100 on 2026-09-08, measured across all 7 frames from its public surface. legit.show/s/docs-aws-amazon-com/2026-09-08
Is Models at a glance production-ready?
Legit.Show scores Models at a glance 64 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Models at a glance (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Accessibility; its weakest is Discoverability. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 53/100
- Accessibility — 99/100
- Security — 90/100How this compares across the catalogue: The Web Security Baseline
- Privacy — 25/100How this compares across the catalogue: The Privacy Gap
- Reliability — 92/100
- Standards — 74/100
- Discoverability — 15/100
What we measured
- Security headers present: CSP, HSTS, X-Frame-Options, X-Content-Type-Options.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 79 ms to first byte.
- Returns a proper 404 for unknown routes.
- 0 of 0 sampled routes reachable.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
- Discoverable: canonical URL.
Who it's for
Developers · AI engineers · Enterprise builders · Application architects
Sources and updates
- Description
- Taken from docs.aws.amazon.com's own website on 2026-07-25.
- 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 2026-09-08.
Put together from public information, without Models at a glance's involvement. If anything here is wrong, tell us and a person will check it.
Visit Models at a glance → · Alternatives to Models at a glance → · How this was measured →