Data edition
2026-09Published ·
Automated decision scope
20 in automated verification / 91 catalog modelsData cutoff · 2026-09-09
Lifecycle coverage
56 lifecycle states documented / 91 · 20 in automation scopeData cutoff · 2026-09-09
02 · TASK RANKING

Coding & debugging

Implementation, defect analysis, tests, and technical trade-offs.

Official version
0
Public evidence
0
Data cutoff
Why these candidates
Assumption · Historical. Use objective-task coverage as a starting signal and include one coding-specific official version for direct testing.
What remains uncertain
The public objective ranking is broader than coding; repository context and tool access can change the result.
Starting candidate

Three 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.

0 / 3

Unknown · Not automatically certified

No comparable public result is currently mapped to this exact version.

All task rankings
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.

The public objective ranking is broader than coding; repository context and tool access can change the result.

The evaluation opens with this task template and the first two selected models. You can edit every task before collecting answers.