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 · designr2·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¶
Related Claims¶
- Cross-model validation shows consistent degradation under multi-strategy attack across Llama-3.3-70B, GPT-4o-mini, and Claude-3.5-Haiku, with significant differences between models — related
- Boundary compliance (S3) drives nearly all inter-model safety divergence, with a 53-point gap between the safest and least safe models — related
- FATE benchmarks rank Gemini 2.5 Flash highest among commercial AI tutors, with actionability weakest for all models — related
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 |
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