About Modelglass

Modelglass was built by Scott Schinkel, a data professional with over 20 years of experience turning complex systems into legible, actionable information.

The idea behind Modelglass is simple: AI image generation has become genuinely powerful, but comparing models across providers is needlessly difficult. Pricing is fragmented, capability claims are inconsistent, and there's no neutral place to see the full picture at once.

Modelglass exists to fix that — one source of truth for model pricing, capability profiles, and benchmarks, kept current and presented without bias.

Scott believes that good decisions come from good data. That means data that's complete, honestly presented, and structured so the signal is easy to find — whether you're routing inference at scale or just trying to figure out which model is worth your time.