Meta Llama 3-7 DS vs xAI Grok-4.1 Fast Reasoning

Detailed comparison for LLMs

MetaxAI

On Guardion's LLM vulnerability Benchmark, xAI Grok-4.1 Fast Reasoning is the more secure of the two: Llama 3-7 DS scores 32.2% and Grok-4.1 Fast Reasoning scores 14.0% 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

Grok-4.1 Fast Reasoning is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Meta Llama 3-7 DS vs xAI Grok-4.1 Fast Reasoning. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Llama 3-7 DS
32.2%
Grok-4.1 Fast Reasoning
14.0%

TAP Attack Method (ASR)

Llama 3-7 DS
Grok-4.1 Fast Reasoning
100.0%

Crescendo Attack Method (ASR)

Llama 3-7 DS
Grok-4.1 Fast Reasoning
100.0%

Zero-Shot (ASR)

Llama 3-7 DS
10.5%
Grok-4.1 Fast Reasoning
100.0%

Key Highlights

  • xAI Grok-4.1 Fast Reasoning has a lower Overall (ASR).
  • Meta Llama 3-7 DS has a lower Zero-Shot (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Llama 3-7 DS
Grok-4.1 Fast Reasoning
Full security profile
Meta Llama 3-7 DS
Full security profile
xAI Grok-4.1 Fast Reasoning

Frequently asked questions

Is Meta Llama 3-7 DS or xAI Grok-4.1 Fast Reasoning more secure?

On Guardion's LLM vulnerability Benchmark, xAI Grok-4.1 Fast Reasoning is the more secure of the two: Llama 3-7 DS scores 32.2% and Grok-4.1 Fast Reasoning scores 14.0% 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 Llama 3-7 DS vs Grok-4.1 Fast Reasoning?

Llama 3-7 DS has a 32.2% ASR and Grok-4.1 Fast Reasoning has a 14.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were Llama 3-7 DS and Grok-4.1 Fast 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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