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The LLM benchmark aggregator.
Gemma 7B It
Google · 7B
Strongest in Fairness (#130 of 300, on 1 of its 2 boards), weakest in Safety (#327 of 337). Above par in 0 of 8 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 4.7 and ahead of Smollm2 1.7B Instruct and Gemma 2B It.
§ 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.
Human preference31.8−35.7#313/3421/1
Human preference31.8−35.7#313/3421/1
Safety39.6−21.9#327/3371/3
Fairness48.9−21.1#130/3001/2
Secure code37.2−29.3#229/2741/1
Harm refusal45.1−16.5#244/3001/2
Toxicity avoidance26.2−32.8#256/2721/1
Jailbreak resistance26−38.9#264/2721/1
§ 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 Gemma 7B It, 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.
LMArena Text 1138
Enkrypt · Jailbreak risk 37.5%Enkrypt · Harmful content risk 45.6%Enkrypt · CBRN risk 21.2%Enkrypt · Toxicity risk 23%Enkrypt · Bias risk 79.6%Enkrypt · Insecure code risk 59.6%
Badge
[](https://publicai.io/model-index/m/gemma-7b-it)