‹ PublicAI Index
The LLM benchmark aggregator.
Wald 26B-A4B
Other · 26B · A4B
Strongest in Decisions (#34 of 234), weakest in Calibration (#60 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 Metask Jev Rain 12B Trained and Deck 31B.
§ 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.
Decisions60.7−5.2#34/2341/1
Routing & classification64.2−7.5#35/2341/1
Calibration57.1−4.6#60/2341/1
§ 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 Wald 26B-A4B, 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 65.5%JevBench · Calibration 88.1%
Badge
[](https://publicai.io/model-index/m/wald-26b-a4b)