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The LLM benchmark aggregator.
ClassOne Gemma 4 E2B
Strongest in Routing & classification (#200 of 234), weakest in Calibration (#230 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 Mirror and Deem 0.8B v1.
§ 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.
Decisions29.6−36.3#225/2341/1
Routing & classification33.2−38.5#200/2341/1
Calibration26−35.7#230/2341/1
§ 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 ClassOne Gemma 4 E2B, 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 7.8%JevBench · Calibration 22.6%
Badge
[](https://publicai.io/model-index/m/classone-gemma-4-e2b)