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Llama 3.1 8B Instruct
Meta · 8B · open weights
Strongest in Tool use (#62 of 81), weakest in Safety (#291 of 337). Above par in 1 of 11 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.6 Terra and Claude Sonnet 5 and ahead of Grok 3 and GPT-3.5 Turbo.
§ 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.
Agents37.8−30.3#256/2682/5
Tool use41.3−32.7#62/811/1
Knowledge work30.8−42.8#172/1781/2
Human preference38.8−28.7#272/3421/1
Human preference38.8−28.7#272/3421/1
Safety44.7−16.8#291/3371/3
Harm refusal50.8−10.8#144/3001/2
Fairness47.5−22.5#150/3001/2
Secure code41.6−24.9#208/2741/1
Jailbreak resistance35.1−29.8#235/2721/1
Toxicity avoidance36.3−22.7#247/2721/1
§ 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 Llama 3.1 8B Instruct, left for the other.
§ 3 · Sources
Where the numbers come from
4 publications, 9 figures. Every one links to the page it was read from.
LMArena Text 1211
GDPval-AA -403
BFCL v4 25.83%
Enkrypt · Jailbreak risk 25.4%Enkrypt · Harmful content risk 26.7%Enkrypt · CBRN risk 16.2%Enkrypt · Toxicity risk 15.9%Enkrypt · Bias risk 81.7%Enkrypt · Insecure code risk 50.7%
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[](https://publicai.io/model-index/m/llama-3-1-8b-instruct)