‹ PublicAI Index
The LLM benchmark aggregator.
GEV 26B Decide
Other · 26B
Strongest in Calibration (#25 of 234), weakest in Routing & classification (#85 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 Blink v0.3 26B-A4B and Winnow-12B Q8.
§ 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.
Decisions57.3−8.6#59/2341/1
Calibration58.8−2.9#25/2341/1
Routing & classification55.8−15.9#85/2341/1
§ 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 GEV 26B Decide, 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 49.8%JevBench · Calibration 90.3%
Badge
[](https://publicai.io/model-index/m/gev-26b-decide)