The Model Gap

About

Every week a new AI model launches with a table of benchmark scores, and every leaderboard ranks them 1, 2, 3.

Most of those rankings are noise.

A 0.5-point gap on a benchmark with a few hundred questions is a coin flip. A model can lose a benchmark without tools and win it with them — same model, opposite verdict. Scores get reported by the labs themselves, on harnesses nobody else can reproduce.

The Model Gap reads each release and tells you one thing: which gaps are real, and which are just noise.

No composite score. No pretending 0.5 points means something.

The labels

  • Real gap — outside the noise band, worth acting on
  • ⚖️ Tie — statistically indistinguishable, ignore the ranking
  • 🔧 Setup-dependent — the winner flips when the harness changes
  • ⚠️ Unverified — vendor-reported only, no independent run yet
  • 🚱 Tainted — the benchmark itself is saturated or contaminated

See the exact rules behind those labels on Methodology.

Who’s behind this

The Model Gap is a one-person project. There’s no lab-sponsored leaderboard, no SaaS upsell riding on a favorable ranking — which is also why we can say a benchmark result is a coin flip without it costing us anything.

Get each verdict by email: themodelgap.substack.com · Data: open, CC BY · Contact: info@themodelgap.com