Benchmarks are coming.

We are building our own AI benchmark: dynamic task suites generated fresh for every run, posed identically to every model, and graded by program — not by another model's opinion. One number per model, earned in the open.

Six suites. Zero vibes.

multi-step arithmetic logic chains instruction precision passage recall code generation structured output

The discipline behind the number

  • Dynamic, seeded tasks — instances are generated per run, so nothing can be memorized; within a run, every model faces the identical suite.
  • Programmatic grading — answers are checked by code. No judge model, no partial credit.
  • Published methodology — seeds, counts, and rules ship with every leaderboard, so each result can be reproduced — and criticized.

The first public leaderboard lands here when the current run cycle completes.

See the assistant those models power.