OpenGPTAI decision workspace08 · TASK RANKING
Cost-efficient production
Reduce successful-task cost without choosing by price alone.
- Why these candidates
- Assumption · Historical. Use the published cost-per-success view to form a shortlist, then measure total retries, latency, and operational overhead.
- What remains uncertain
- Published prices and workloads change; provider token accounting and your success criteria may differ.
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.
Published prices and workloads change; provider token accounting and your success criteria may differ.
The evaluation opens with this task template and the first two selected models. You can edit every task before collecting answers.