Developer Tools
Thinking Machines Lab
Last updated 2026-07-16 · benchmark measured 2026-07-16 — deterministic & reproducible
Tinker is a training API for fine-tuning open-source language models with LoRA.
Is Thinking Machines Lab production-ready?
Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Thinking Machines Lab (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Privacy. The per-frame breakdown is public on the Legit.Show listing; the single overall production-readiness score is reserved for the verified maker.
The 7 Frames
- Performance — 90/100
- Accessibility — 94/100
- Security — 45/100
- Privacy — 25/100
- Reliability — 100/100
- Standards — 92/100
- Discoverability — 85/100
What we measured
- Security headers present: X-Content-Type-Options, Referrer-Policy.
- No Content-Security-Policy and no HSTS.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 174 ms to first byte.
- Returns a proper 404 for unknown routes.
- 3 of 3 sampled routes reachable.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
Who it's for
Researchers · Developers · Universities · Organizations · ML practitioners
Pricing
Usage-based pricing in USD per million tokens; storage charged at $0.10/GB-month (exact token rates available in docs)