gpt-6.1-sol
— · release date to be confirmed · updated 10/01 14:05
Strengths, seen one at a time.
Each capability is computed on its own. Without enough measurements, it stays empty.
Each category's score reflects ranking support within its own reference group; the scores cannot be added up or used to compare how strong different capabilities are.
How stable is the overall rank?
Remove one evaluation or one organisation at a time, change single weights and the handling of error, and see how the rank moves.
It stayed eligible in every completed comparison. With the candidates held fixed it ranks 2–8. This range is not a confidence interval and does not include results that were never published.
Every result has a source.
The model's published aggregate results. Open one to see its run configuration and how it was used.
Overall evaluation and experience2
Coding1
Reasoning5
Knowledge2
Professional work2
Scored evaluations without a result
These evaluations have published no result for this model; a missing result does not count as zero.
What is still unknown
Missing evaluations do not count as zero. The rank moves with new evidence; when scores are close, do not read much into small gaps.
How it is calculated