‹ PublicAI Index
The LLM benchmark aggregator.
LitJev
Other
Strongest in Calibration (#35 of 234), weakest in Routing & classification (#102 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 Tern 35B A3B and Amazon Strands Decider 26B-A4B.
§ 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.
Decisions55.4−10.5#85/2341/1
Calibration58.5−3.2#35/2341/1
Routing & classification52.3−19.4#102/2341/1
§ 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 LitJev, 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 43.3%JevBench · Calibration 89.9%
Badge
[](https://publicai.io/model-index/m/litjev)