Google Cloud Model Armor vs Meta Llama Guard

Detailed comparison for runtime guardrails

Google CloudMeta

On Guardion's Prompt Attack Risk Benchmark, Meta Llama Guard is the more secure of the two: Model Armor scores NaN% and Llama Guard scores NaN% on F1 score (higher is better).

Head-to-Head Overview

Model Armor is the overall winner in this comparison!

Guardrail Metrics

F1 Score

Model Armor
4.680
Llama Guard
0.000

Accuracy

Model Armor
45.540
Llama Guard
0.000

Precision

Model Armor
76.410
Llama Guard
0.000

Recall

Model Armor
10.670
Llama Guard
0.000

False Positive Rate

Model Armor
4.700
Llama Guard
0.000

False Negative Rate

Model Armor
89.330
Llama Guard
0.000

Average Latency (ms)

Model Armor
0.703
Llama Guard
0.000

p50 Latency (ms)

Model Armor
381.288
Llama Guard
0.000

p90 Latency (ms)

Model Armor
1549.410
Llama Guard
0.000

Key Highlights

  • Google Cloud Model Armor has a better F1 Score.
  • Google Cloud Model Armor has a better Accuracy.
  • Google Cloud Model Armor has a better Precision.
  • Google Cloud Model Armor has a better Recall.
  • Meta Llama Guard has a better False Positive Rate.
  • Meta Llama Guard has a better False Negative Rate.
  • Meta Llama Guard has a better Average Latency (ms).
  • Meta Llama Guard has a better p50 Latency (ms).
  • Meta Llama Guard has a better p90 Latency (ms).

Security Profile

Outward is better on every axis.

F1 ScoreAccuracyPrecisionRecallFPRFNRAverage Latency (ms)p50 Latency (ms)p90 Latency (ms)
Model Armor
Llama Guard
Full security profile
Google Cloud Model Armor
Full security profile
Meta Llama Guard

Frequently asked questions

Is Google Cloud Model Armor or Meta Llama Guard more secure?

On Guardion's Prompt Attack Risk Benchmark, Meta Llama Guard is the more secure of the two: Model Armor scores NaN% and Llama Guard scores NaN% on F1 score (higher is better).

What is the F1 score of Model Armor vs Llama Guard?

Model Armor scores NaN% F1 and Llama Guard scores NaN% F1 on Guardion's prompt-attack benchmark. F1 balances precision and recall — higher is better.

How were Model Armor and Llama Guard tested?

Both were evaluated via API at production-like sensitivity against 30+ prompt-attack categories using zero-shot, Crescendo, and TAP methods, scored by F1.

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