Google Gemini 2.0 Flash Thinking vs Amazon Nova Pro

Detailed comparison for LLMs

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On Guardion's LLM vulnerability Benchmark, Google Gemini 2.0 Flash Thinking is the more secure of the two: Gemini 2.0 Flash Thinking scores 21.5% and Nova Pro scores 24.0% 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

Gemini 2.0 Flash Thinking is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Google Gemini 2.0 Flash Thinking vs Amazon Nova Pro. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Gemini 2.0 Flash Thinking
21.5%
Nova Pro
24.0%

TAP Attack Method (ASR)

Gemini 2.0 Flash Thinking
100.0%
Nova Pro
100.0%

Crescendo Attack Method (ASR)

Gemini 2.0 Flash Thinking
100.0%
Nova Pro
100.0%

Zero-Shot (ASR)

Gemini 2.0 Flash Thinking
100.0%
Nova Pro
100.0%

Key Highlights

  • Google Gemini 2.0 Flash Thinking has a lower Overall (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Gemini 2.0 Flash Thinking
Nova Pro
Full security profile
Google Gemini 2.0 Flash Thinking
Full security profile
Amazon Nova Pro

Frequently asked questions

Is Google Gemini 2.0 Flash Thinking or Amazon Nova Pro more secure?

On Guardion's LLM vulnerability Benchmark, Google Gemini 2.0 Flash Thinking is the more secure of the two: Gemini 2.0 Flash Thinking scores 21.5% and Nova Pro scores 24.0% 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 Gemini 2.0 Flash Thinking vs Nova Pro?

Gemini 2.0 Flash Thinking has a 21.5% ASR and Nova Pro has a 24.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were Gemini 2.0 Flash Thinking and Nova Pro 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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