Mistral Mistral NeMo Instruct vs Google Gemma 3n E4B

Detailed comparison for LLMs

MistralGoogle

On Guardion's LLM vulnerability Benchmark, Mistral Mistral NeMo Instruct is the more secure of the two: Mistral NeMo Instruct scores 50.0% and Gemma 3n E4B scores 52.0% 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

Mistral NeMo Instruct is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Mistral Mistral NeMo Instruct vs Google Gemma 3n E4B. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Mistral NeMo Instruct
50.0%
Gemma 3n E4B
52.0%

TAP Attack Method (ASR)

Mistral NeMo Instruct
100.0%
Gemma 3n E4B
100.0%

Crescendo Attack Method (ASR)

Mistral NeMo Instruct
100.0%
Gemma 3n E4B
100.0%

Zero-Shot (ASR)

Mistral NeMo Instruct
100.0%
Gemma 3n E4B
100.0%

Key Highlights

  • Mistral Mistral NeMo Instruct has a lower Overall (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Mistral NeMo Instruct
Gemma 3n E4B
Full security profile
Mistral Mistral NeMo Instruct
Full security profile
Google Gemma 3n E4B

Frequently asked questions

Is Mistral Mistral NeMo Instruct or Google Gemma 3n E4B more secure?

On Guardion's LLM vulnerability Benchmark, Mistral Mistral NeMo Instruct is the more secure of the two: Mistral NeMo Instruct scores 50.0% and Gemma 3n E4B scores 52.0% 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 Mistral NeMo Instruct vs Gemma 3n E4B?

Mistral NeMo Instruct has a 50.0% ASR and Gemma 3n E4B has a 52.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were Mistral NeMo Instruct and Gemma 3n E4B 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.

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