‹ PublicAI Index
The LLM benchmark aggregator.
Cygnet
Other
Strongest in Decisions (#57 of 234), weakest in Calibration (#77 of 234). Above par in 3 of 3 scopes. Among the models it meets almost everywhere, it finishes behind Baselabs mammoth-1 and KnowLine 31B-Gen1 and ahead of Xor 26B-A4B and GEV 26B Decide.
§ 1 · Profile
What it is good at
Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.
Decisions57.4−8.5#57/2341/1
Routing & classification58.5−13.2#70/2341/1
Calibration56.3−5.4#77/2341/1
§ 2 · Head to head
What it beats, and what beats it
The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Cygnet, left for the other.
§ 3 · Sources
Where the numbers come from
1 publication, 2 figures. Every one links to the page it was read from.
JevBench · Intelligence 54.8%JevBench · Calibration 87%
Badge
[](https://publicai.io/model-index/m/cygnet)