‹ PublicAI Index
The LLM benchmark aggregator.
Qwen 2.5 Instruct (7B)
Alibaba · 7.6B · open weights
Strongest in Safe-prompt compliance (#32 of 82), weakest in Secure code (#194 of 273). Above par in 4 of 9 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5 and Claude Opus 4 and ahead of Grok 4 and DeepSeek V3.
§ 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.
Professional47.2−15.9#126/1871/2
Legal43.4−23#122/1621/1
Safety51.2−10.2#152/3312/3
Safe-prompt compliance55.5−4.9#32/821/1
Fairness61.3−8.7#34/2962/2
Toxicity avoidance52.6−6.4#162/2711/1
Jailbreak resistance48.3−16.7#189/2711/1
Harm refusal47.8−13.7#191/2962/2
Secure code45.4−20.9#194/2731/1
§ 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 Qwen 2.5 Instruct (7B), left for the other.
§ 3 · Sources
Where the numbers come from
3 publications, 12 figures. Every one links to the page it was read from.
Vals · LegalBench 69.56%
HELM Safety · HarmBench 67.7%HELM Safety · SimpleSafetyTests 96%HELM Safety · Anthropic Red Team 98.5%HELM Safety · BBQ 90.6%HELM Safety · XSTest 96.6%
Enkrypt · Jailbreak risk 14.2%Enkrypt · Harmful content risk 51.7%Enkrypt · CBRN risk 15.7%Enkrypt · Toxicity risk 4.4%Enkrypt · Bias risk 50.7%Enkrypt · Insecure code risk 42.7%
Badge
[](https://publicai.io/model-index/m/qwen-2-5-instruct-7b)