Google Gemini 2.5 Pro vs OpenAI GPT OSS 20B

Detailed comparison for LLMs

GoogleOpenAI

On Guardion's LLM vulnerability Benchmark, Google Gemini 2.5 Pro is the more secure of the two: Gemini 2.5 Pro scores 16.1% and GPT OSS 20B scores 20.0% 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 2.5 Pro is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Google Gemini 2.5 Pro vs OpenAI GPT OSS 20B. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Gemini 2.5 Pro
16.1%
GPT OSS 20B
20.0%

TAP Attack Method (ASR)

Gemini 2.5 Pro
27.5%
GPT OSS 20B
100.0%

Crescendo Attack Method (ASR)

Gemini 2.5 Pro
19.1%
GPT OSS 20B
100.0%

Zero-Shot (ASR)

Gemini 2.5 Pro
1.6%
GPT OSS 20B
100.0%

Key Highlights

  • Google Gemini 2.5 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
Gemini 2.5 Pro
GPT OSS 20B
Full security profile
Google Gemini 2.5 Pro
Full security profile
OpenAI GPT OSS 20B

Frequently asked questions

Is Google Gemini 2.5 Pro or OpenAI GPT OSS 20B more secure?

On Guardion's LLM vulnerability Benchmark, Google Gemini 2.5 Pro is the more secure of the two: Gemini 2.5 Pro scores 16.1% and GPT OSS 20B scores 20.0% 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 2.5 Pro vs GPT OSS 20B?

Gemini 2.5 Pro has a 16.1% ASR and GPT OSS 20B has a 20.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were Gemini 2.5 Pro and GPT OSS 20B 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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