‹ PublicAI Index
The LLM benchmark aggregator.
Qwen3 8B
Alibaba · 8.2B · open weights
Strongest in Factual grounding (#9 of 101), weakest in Fairness (#290 of 300). Above par in 4 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Grok 4.7 and ahead of Nova Pro and Nova Micro.
§ 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.
Agents45.2−22.9#179/2682/5
Tool use53.4−20.6#29/811/1
Knowledge work36.7−36.9#152/1781/2
Safety46.4−15.1#268/3372/3
Factual grounding63.1−7.5#9/1011/1
Toxicity avoidance56.4−2.6#62/2721/1
Secure code53.2−13.3#129/2741/1
Jailbreak resistance34.5−30.4#237/2721/1
Harm refusal42.2−19.4#274/3001/2
Fairness37.2−32.8#290/3001/2
§ 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 Qwen3 8B, 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.
GDPval-AA -63
BFCL v4 42.57%
Enkrypt · Jailbreak risk 25.9%Enkrypt · Harmful content risk 37.8%Enkrypt · CBRN risk 33%Enkrypt · Toxicity risk 1.8%Enkrypt · Bias risk 97.7%Enkrypt · Insecure code risk 27.1%
Vectara · Factual consistency 95.2%
Badge
[](https://publicai.io/model-index/m/qwen3-8b)