04 · TASK RANKING
Documents & grounded Q&A
Long files, summaries, citations, and answers bounded by supplied text.
- Why these candidates
- Assumption · Historical. Compare models positioned for sustained context or enterprise retrieval, then test exact citation and refusal behavior.
- What remains uncertain
- Context-window claims do not establish retrieval quality or faithful use of a long document.
Starting candidate
0 / 3Three official versions to test first
Public data narrows the field. It does not replace a controlled test on your own work. Select two or three candidates for a side-by-side public data comparison.
Unknown · Not automatically certified
No comparable public result is currently mapped to this exact version.
Public evidenceThe models use different public evidence scales. Missing evidence is not treated as zero, and OpenGPT does not combine unlike sources into one score.+
A practical starting point, not a universal winnerSelect two or three candidates for a side-by-side public data comparison.+
The models use different public evidence scales. Missing evidence is not treated as zero, and OpenGPT does not combine unlike sources into one score.
Context-window claims do not establish retrieval quality or faithful use of a long document.
The evaluation opens with this task template and the first two selected models. You can edit every task before collecting answers.