AI & Agents
Isoquant
Last updated 2026-09-23 · benchmark measured 2026-09-23 — deterministic & reproducible
Isoquant provides optimized inference for open AI models at low cost and latency.
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To cite this score: legit.show/s/isoquant-ai/2026-09-23. That address never changes; this page moves with every re-measure.
Legit.Show scored Isoquant 93/100 on 2026-09-23, measured across all 7 frames from its public surface. legit.show/s/isoquant-ai/2026-09-23
Is Isoquant production-ready?
Legit.Show scores Isoquant 93 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Isoquant (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Accessibility; its weakest is Security. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 93/100
- Accessibility — 100/100
- Security — 80/100How this compares across the catalogue: The Web Security Baseline
- Privacy — 100/100How this compares across the catalogue: The Privacy Gap
- Reliability — 100/100
- Standards — 92/100
- Discoverability — 85/100
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 — 120 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/ML engineers · Companies · API users · Developers
Pricing
$0.07 USD per 1M input tokens, $0.20 USD per 1M output tokens, $0.014 USD per 1M cached input tokens
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