OpenAI GPT OSS 120B vs xAI Grok-4 Fast Non-Reasoning

Detailed comparison for LLMs

OpenAIxAI

On Guardion's LLM vulnerability Benchmark, OpenAI GPT OSS 120B is the more secure of the two: GPT OSS 120B scores 15.0% and Grok-4 Fast Non-Reasoning scores 33.0% 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

GPT OSS 120B is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for OpenAI GPT OSS 120B vs xAI Grok-4 Fast Non-Reasoning. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

GPT OSS 120B
15.0%
Grok-4 Fast Non-Reasoning
33.0%

TAP Attack Method (ASR)

GPT OSS 120B
100.0%
Grok-4 Fast Non-Reasoning
100.0%

Crescendo Attack Method (ASR)

GPT OSS 120B
100.0%
Grok-4 Fast Non-Reasoning
100.0%

Zero-Shot (ASR)

GPT OSS 120B
100.0%
Grok-4 Fast Non-Reasoning
100.0%

Key Highlights

  • OpenAI GPT OSS 120B has a lower Overall (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
GPT OSS 120B
Grok-4 Fast Non-Reasoning
Full security profile
OpenAI GPT OSS 120B
Full security profile
xAI Grok-4 Fast Non-Reasoning

Frequently asked questions

Is OpenAI GPT OSS 120B or xAI Grok-4 Fast Non-Reasoning 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 Grok-4 Fast Non-Reasoning scores 33.0% 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 GPT OSS 120B vs Grok-4 Fast Non-Reasoning?

GPT OSS 120B has a 15.0% ASR and Grok-4 Fast Non-Reasoning has a 33.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were GPT OSS 120B and Grok-4 Fast Non-Reasoning 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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