OpenAI GPT OSS 120B vs Google Gemini 2.5 Pro

Detailed comparison for LLMs

OpenAIGoogle

On Guardion's LLM vulnerability Benchmark, OpenAI GPT OSS 120B is the more secure of the two: GPT OSS 120B scores 15.0% 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 OSS 120B is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for OpenAI GPT OSS 120B 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 OSS 120B
15.0%
Gemini 2.5 Pro
16.1%

TAP Attack Method (ASR)

GPT OSS 120B
100.0%
Gemini 2.5 Pro
27.5%

Crescendo Attack Method (ASR)

GPT OSS 120B
100.0%
Gemini 2.5 Pro
19.1%

Zero-Shot (ASR)

GPT OSS 120B
100.0%
Gemini 2.5 Pro
1.6%

Key Highlights

  • OpenAI GPT OSS 120B 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 OSS 120B
Gemini 2.5 Pro
Full security profile
OpenAI GPT OSS 120B
Full security profile
Google Gemini 2.5 Pro

Frequently asked questions

Is OpenAI GPT OSS 120B or Google Gemini 2.5 Pro more secure?

On Guardion's LLM vulnerability Benchmark, OpenAI GPT OSS 120B is the more secure of the two: GPT OSS 120B scores 15.0% 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 OSS 120B vs Gemini 2.5 Pro?

GPT OSS 120B has a 15.0% 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 OSS 120B 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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