Claims

Educational safety performance varies widely across LLMs, with GPT-5.6-Luna the safest and Qwen3-8B among the weakest under educational adversarial probing

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? GPT-5.6-Luna achieves the lowest overall ASR (11.4%), followed by Gemma-4-12B-it (18.3%) and Gemini-3.5-Flash (29.8%), while Qwen3-8B (63.1%) and Ministral-3-8B-Instruct (62.0%) show the highest ASRs. → Park 2026

Evidence

Park 2026

Park, J., Han, J., Yoo, H., Ahn, S.-Y., Yoon, J., & Oh, A. (2026). EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers. arXiv preprint. https://arxiv.org/abs/2608.02024 doi:10.48550/arxiv.2608.02024

q2 · i? · design · r2

Model comparison in the EduZone evaluation of four proprietary and six open LLMs. Qwen3-8B and Ministral-3-8B-Instruct exhibit the highest ASRs, indicating the weakest educational safety performance among evaluated models.

"GPT-5.6-Luna achieves the lowest ASR (11.4%), followed by Gemma-4-12B-it (18.3%) and Gemini-3.5-Flash (29.8%)."

Discussion

Page metadata
Field Value
type claim
id educational-safety-varies-widely-across-llms
title Educational safety performance varies widely across LLMs, with GPT-5.6-Luna the safest and Qwen3-8B among the weakest under educational adversarial probing
description Educational safety performance varies widely across LLMs, with GPT-5.6-Luna the safest and Qwen3-8B among the weakest under educational adversarial probing
status review
evidence_strength moderate
newest_evidence 2026
recheck_by 2029
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — park-2026

Frontmatter is the page's machine-readable record — see the Schema & Guide.