Deepseek Deepseek R1 vs Google Gemma 3n E4B

Detailed comparison for LLMs

DeepseekGoogle

On Guardion's LLM vulnerability Benchmark, Deepseek Deepseek R1 is the more secure of the two: Deepseek R1 scores 42.6% 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

Deepseek R1 is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Deepseek Deepseek R1 vs Google Gemma 3n E4B. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Deepseek R1
42.6%
Gemma 3n E4B
52.0%

TAP Attack Method (ASR)

Deepseek R1
76.9%
Gemma 3n E4B
100.0%

Crescendo Attack Method (ASR)

Deepseek R1
34.8%
Gemma 3n E4B
100.0%

Zero-Shot (ASR)

Deepseek R1
16.1%
Gemma 3n E4B
100.0%

Key Highlights

  • Deepseek Deepseek R1 has a lower Overall (ASR).
  • Deepseek Deepseek R1 has a lower TAP Attack Method (ASR).
  • Deepseek Deepseek R1 has a lower Crescendo Attack Method (ASR).
  • Deepseek Deepseek R1 has a lower Zero-Shot (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Deepseek R1
Gemma 3n E4B
Full security profile
Deepseek Deepseek R1
Full security profile
Google Gemma 3n E4B

Frequently asked questions

Is Deepseek Deepseek R1 or Google Gemma 3n E4B more secure?

On Guardion's LLM vulnerability Benchmark, Deepseek Deepseek R1 is the more secure of the two: Deepseek R1 scores 42.6% 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 Deepseek R1 vs Gemma 3n E4B?

Deepseek R1 has a 42.6% 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 Deepseek R1 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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