The Singularity Gate | AI benchmark for paradigm-shifting discovery

The Singularity Gate

A benchmark for AI-driven paradigm-shifting scientific discovery

The gate has not been opened yet…

Benchmark tasks are built around real scientific findings first made public after the newest model's training cutoff, so no model can have seen them in training. Passing the Singularity Gate is necessary, though not sufficient, for autonomous AI-driven discovery. A model that cannot predict paradigm-breaking discoveries is not Einstein-level, and one that can may still fall short.

Leaderboard

Each bar shows the score over all 80 tasks. Its brighter part is the Hard score.
Costs are for all 80 tasks, with subscription usage given as a share of one week's limit on a $200 plan and API price in USD. A model that answered fewer tasks is scaled to 80 from its average cost per answered task.
Fable 5.2 and Opus 5.5 answered 72 of 80 tasks, Fable 5.1 67, Sonnet 5.5 and Haiku 5.5 79, and the GPT models all 80. Tasks a model's safety filters stopped are left out of its score.

Per-field breakdown

Fable 5.2 leads Physics and Astronomy, Chemistry and Materials, Mathematics and TCS, and Life Sciences. Opus 5.5 leads Earth and Planetary. The leader in each field is highlighted. A dash means the model answered fewer than 7 tasks in that field (Fable 5.1 in Life Sciences).