Google Gemma 3n E2B Instructed LiteRT vs OpenAI GPT OSS 120B
Detailed comparison for LLMs
On Guardion's LLM vulnerability Benchmark, OpenAI GPT OSS 120B is the more secure of the two: Gemma 3n E2B Instructed LiteRT scores 55.0% and GPT OSS 120B scores 15.0% on attack success rate (ASR) (lower is better). One or both scores are estimated from public safety evaluations pending a Guardion benchmark run.
Head-to-Head Overview
GPT OSS 120B is the overall winner in this comparison!
Attack Success Rate (lower is safer)
ASR for Google Gemma 3n E2B Instructed LiteRT vs OpenAI GPT OSS 120B. Green marks the safer model on each metric. Only the overall score is available for estimated models.
Overall (ASR)
TAP Attack Method (ASR)
Crescendo Attack Method (ASR)
Zero-Shot (ASR)
Key Highlights
- OpenAI GPT OSS 120B has a lower Overall (ASR).
Security Profile
Outward is better on every axis.
Frequently asked questions
Is Google Gemma 3n E2B Instructed LiteRT or OpenAI GPT OSS 120B more secure?
On Guardion's LLM vulnerability Benchmark, OpenAI GPT OSS 120B is the more secure of the two: Gemma 3n E2B Instructed LiteRT scores 55.0% and GPT OSS 120B scores 15.0% on attack success rate (ASR) (lower is better). One or both scores are estimated from public safety evaluations pending a Guardion benchmark run.
What is the attack success rate (ASR) of Gemma 3n E2B Instructed LiteRT vs GPT OSS 120B?
Gemma 3n E2B Instructed LiteRT has a 55.0% ASR and GPT OSS 120B has a 15.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.
How were Gemma 3n E2B Instructed LiteRT and GPT OSS 120B tested?
Both were red-teamed with the HarmBench framework across zero-shot, TAP (Tree of Attacks with Pruning), and Crescendo multi-turn attacks, scored by Attack Success Rate.