‹ PublicAI Index
The LLM benchmark aggregator.
Vega 0.8B
Other · 0.8B
Strongest in Calibration (#203 of 234), weakest in Routing & classification (#222 of 234). Above par in 0 of 3 scopes. Among the models it meets almost everywhere, it finishes behind Baselabs mammoth-1 and KnowLine 31B-Gen1 and ahead of Liquid AI d1-omni-600M and kev 0.5B.
§ 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.
Decisions34.6−31.3#216/2341/1
Calibration38.5−23.2#203/2341/1
Routing & classification30.7−41#222/2341/1
§ 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 Vega 0.8B, 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 3.1%JevBench · Calibration 62.9%
Badge
[](https://publicai.io/model-index/m/vega-0-8b)