381 kB across 1 part, newest sealed 23 October 2026 at 18:47 UTC.
The first build wrote 1 part and 7,121 rows.
RESULT_ID_UNIQUE passed.
BENCHMARK_PRESENT passed.
MODEL_PRESENT passed.
SCORE_PRESENT passed.
SCORE_UNIT_PRESENT passed.
REPORTED_BY_PRESENT passed.
RESULTS_EXPECTED passed.
SCORE_FRACTION_IN_UNIT_RANGE passed.
MODEL_RELEASE_DATE_MOSTLY_PRESENT passed.
Identifier of the result: Epoch AI's own record id where it publishes one, otherwise a hash of the file name and the row, stable while the row is unchanged.
7,121 distinct values, no chart
The benchmark, named as Epoch AI names it, for example GPQA diamond or SWE-bench Verified.
The date the benchmark was published, from Epoch AI's benchmark list.
per year
The model the result belongs to, as Epoch AI groups versions of one model, for example GPT-5 or Claude Opus 4.5.
The exact model version evaluated, usually the developer's API identifier with Epoch AI's suffix for the reasoning setting; empty for one-per-family rows from the Capabilities Index.
1,213 distinct values, no chart
The organisation that developed the model; joint developers are listed together.
The country of the developing organisation.
How the model is released, for example API access or Open weights (unrestricted), from Epoch AI's model list.
The date the model version was released.
per year
Epoch AI's estimate of the compute used to train the model, in floating-point operations, where it publishes one.
150 distinct values, no chart
The score as the source publishes it, in the unit named by score_unit.
3,783 distinct values, no chart
The unit of score: fraction, percent, points out of 10, Elo rating, rating, speedup factor, Brier score, index points (0-100) or US dollars.
The score as a fraction between 0 and 1, for benchmarks scored as a proportion; empty for ratings, money and other units.
Whether a higher score is better on this benchmark; false only for error measures such as the Brier score.
The standard error the source reports for the score, in the same unit as score.
1,263 distinct values, no chart
The date the source attaches to the result: the run date for Epoch AI's own runs, otherwise the evaluation, grading, addition or last-update date the source states.
per quarter
Who ran or published the result: Epoch AI (its own run), Leaderboard (a benchmark or evaluator leaderboard), Model developer (the developer's own page), Paper or report (a research paper or technical report, where labs publish their own numbers), or Not stated.
The source Epoch AI cites for the result: a paper or leaderboard name, or the web host of its link.
The link to the cited source, or to Epoch AI's evaluation log for its own runs.
914 distinct values, no chart
Settings that distinguish several results for one model on one benchmark, such as the number of shots, the agent harness or the reasoning effort.
Epoch AI's note on the result, where it gives one.
74 distinct values, no chart
The file in Epoch AI's download the row comes from.
83 distinct values, no chart
