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The LLM benchmark aggregator.
Gemma 4 E2B
Strongest in Secure code (#16 of 274), weakest in Fairness (#292 of 300). Above par in 2 of 8 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 5 and ahead of Command A and Qwen3 30B A3B Instruct.
§ 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.
Safety47.9−13.6#237/3371/3
Secure code64.5−2#16/2741/1
Toxicity avoidance53.9−5.1#135/2721/1
Harm refusal47.5−14.1#202/3001/2
Jailbreak resistance38.7−26.2#224/2721/1
Fairness36.7−33.3#292/3001/2
Agents39.5−28.6#241/2681/5
Knowledge work34.3−39.3#163/1781/2
§ 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 Gemma 4 E2B, left for the other.
§ 3 · Sources
Where the numbers come from
2 publications, 7 figures. Every one links to the page it was read from.
GDPval-AA -203
Enkrypt · Jailbreak risk 22.3%Enkrypt · Harmful content risk 13.3%Enkrypt · CBRN risk 32%Enkrypt · Toxicity risk 3.6%Enkrypt · Bias risk 98.5%Enkrypt · Insecure code risk 4%
Badge
[](https://publicai.io/model-index/m/gemma-4-e2b)