OpenAI GPT-5.2 Pro vs Google Gemini 2.5 Pro

Detailed comparison for LLMs

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On Guardion's LLM vulnerability Benchmark, OpenAI GPT-5.2 Pro is the more secure of the two: GPT-5.2 Pro scores 3.8% and Gemini 2.5 Pro scores 16.1% 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-5.2 Pro is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for OpenAI GPT-5.2 Pro vs Google Gemini 2.5 Pro. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

GPT-5.2 Pro
3.8%
Gemini 2.5 Pro
16.1%

TAP Attack Method (ASR)

GPT-5.2 Pro
100.0%
Gemini 2.5 Pro
27.5%

Crescendo Attack Method (ASR)

GPT-5.2 Pro
100.0%
Gemini 2.5 Pro
19.1%

Zero-Shot (ASR)

GPT-5.2 Pro
100.0%
Gemini 2.5 Pro
1.6%

Key Highlights

  • OpenAI GPT-5.2 Pro has a lower Overall (ASR).
  • Google Gemini 2.5 Pro has a lower TAP Attack Method (ASR).
  • Google Gemini 2.5 Pro has a lower Crescendo Attack Method (ASR).
  • Google Gemini 2.5 Pro has a lower Zero-Shot (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
GPT-5.2 Pro
Gemini 2.5 Pro
Full security profile
OpenAI GPT-5.2 Pro
Full security profile
Google Gemini 2.5 Pro

Frequently asked questions

Is OpenAI GPT-5.2 Pro or Google Gemini 2.5 Pro more secure?

On Guardion's LLM vulnerability Benchmark, OpenAI GPT-5.2 Pro is the more secure of the two: GPT-5.2 Pro scores 3.8% and Gemini 2.5 Pro scores 16.1% 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 GPT-5.2 Pro vs Gemini 2.5 Pro?

GPT-5.2 Pro has a 3.8% ASR and Gemini 2.5 Pro has a 16.1% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were GPT-5.2 Pro and Gemini 2.5 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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