Amazon Nova Pro vs Google Gemini 2.0 Flash Thinking

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: Nova Pro scores 24.0% and Gemini 2.0 Flash Thinking scores 21.5% 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 Amazon Nova Pro vs Google Gemini 2.0 Flash Thinking. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Nova Pro
24.0%
Gemini 2.0 Flash Thinking
21.5%

TAP Attack Method (ASR)

Nova Pro
100.0%
Gemini 2.0 Flash Thinking
100.0%

Crescendo Attack Method (ASR)

Nova Pro
100.0%
Gemini 2.0 Flash Thinking
100.0%

Zero-Shot (ASR)

Nova Pro
100.0%
Gemini 2.0 Flash Thinking
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
Nova Pro
Gemini 2.0 Flash Thinking
Full security profile
Amazon Nova Pro
Full security profile
Google Gemini 2.0 Flash Thinking

Frequently asked questions

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

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

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

How were Nova Pro and Gemini 2.0 Flash Thinking 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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