‹ PublicAI Index
The LLM benchmark aggregator.
Granite 3.1 2B Instruct
IBM · 2B
Strongest in Toxicity avoidance (#13 of 272), weakest in Human preference (#289 of 342). Above par in 2 of 8 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Claude Sonnet 4 and ahead of Command R and DeepSeek R1.
§ 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.
Safety48.9−12.6#212/3371/3
Toxicity avoidance58.7−0.3#13/2721/1
Jailbreak resistance56.4−8.5#96/2721/1
Harm refusal48.8−12.8#170/3001/2
Secure code39.4−27.1#222/2741/1
Fairness42.4−27.6#258/3001/2
Human preference35.7−31.8#289/3421/1
Human preference35.7−31.8#289/3421/1
§ 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 Granite 3.1 2B Instruct, 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 1179
Enkrypt · Jailbreak risk 7.4%Enkrypt · Harmful content risk 45%Enkrypt · CBRN risk 11.7%Enkrypt · Toxicity risk 0.2%Enkrypt · Bias risk 89.7%Enkrypt · Insecure code risk 55.1%
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