‹ PublicAI Index
The LLM benchmark aggregator.
K2 Chat
LLM360
Strongest in Secure code (#69 of 274), weakest in Fairness (#226 of 299). Above par in 5 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Claude Opus 5.5 and ahead of Granite 4.0 H Micro and Apertus 70B 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.
Safety52.8−8.7#108/3361/3
Secure code59.7−6.8#69/2741/1
Jailbreak resistance56.8−8.1#89/2721/1
Harm refusal53.7−7.9#93/2991/2
Toxicity avoidance51−8#192/2721/1
Fairness43.9−26.1#226/2991/2
§ 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 K2 Chat, left for the other.
§ 3 · Sources
Where the numbers come from
1 publication, 6 figures. Every one links to the page it was read from.
Enkrypt · Jailbreak risk 7%Enkrypt · Harmful content risk 18.3%Enkrypt · CBRN risk 13%Enkrypt · Toxicity risk 5.6%Enkrypt · Bias risk 87.3%Enkrypt · Insecure code risk 13.8%
Badge
[](https://publicai.io/model-index/m/k2-chat)