All 4 scoreable measurements here come from ONE runner, so this is not a reconciliation and is not presented as one. What it shows is how far a single runner's number moves when the model is run differently.
4 rows, after collapsing 1 that were one measurement written twice. Best first. the board takes the LOWER MEDIAN of the scoreable measurements, which is a real row with its own interval and provenance rather than an interpolated average. a vendor self-report is shown beside the independent numbers and is never one of them; it cannot move a rank.
| Score | Provenance | Configuration | Who ran it | Where to check it |
|---|---|---|---|---|
| 5.7 / 100
as published: 5.7% |
INDEPENDENT
counts toward the ranking |
gpt-5.4-nano-2026-03-17 effort xhigh |
ARC Prize via Epoch AI CC-BY-4.0 |
NO_URL2026-08-30 benchmark leaderboardthe leaderboard for this benchmark, not a link to this row |
| 3.6 / 100
as published: 3.6% |
INDEPENDENT
counts toward the ranking |
gpt-5.4-nano-2026-03-17 effort high |
ARC Prize via Epoch AI CC-BY-4.0 |
NO_URL2026-08-30 benchmark leaderboardthe leaderboard for this benchmark, not a link to this row |
| 1.9 / 100
as published: 1.9% |
INDEPENDENT
counts toward the ranking |
gpt-5.4-nano-2026-03-17 effort medium |
ARC Prize via Epoch AI CC-BY-4.0 |
NO_URL2026-08-30 benchmark leaderboardthe leaderboard for this benchmark, not a link to this row |
| 1.5 / 100
as published: 1.5% |
INDEPENDENT
counts toward the ranking |
gpt-5.4-nano-2026-03-17 effort low |
ARC Prize via Epoch AI CC-BY-4.0 |
NO_URL2026-08-30 benchmark leaderboardthe leaderboard for this benchmark, not a link to this row |
Snapshot 2026-08-30-62e4e85f043b, manifest dc46131315046f1e, as of 2026-08-30. where only one party has measured a model on a benchmark, this page says so rather than presenting a single number as a reconciliation.