The LLM benchmark aggregator.
decisio v0.8.0 on gemma-4-31B-it
Google · 31B
Strongest in Decisions (#13 of 192), weakest in Calibration (#36 of 192). Above par in 3 of 3 scopes. Among the models it meets almost everywhere, it finishes behind Chon 1.0 12B and vLLM-SR d3 and ahead of metask-jev-rain-31B-trained service v3 and Metask Jev Rain 31B Trained.
§ 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.
§ 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 decisio v0.8.0 on gemma-4-31B-it, 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.
Badge
[](https://publicai.io/model-index/m/decisio-v0-8-0-on-gemma-4-31b-it)