Google Cloud Model Armor vs Alibaba QwenGuard4B

Detailed comparison for runtime guardrails

Google CloudAlibaba

On Guardion's Prompt Attack Risk Benchmark, Alibaba QwenGuard4B is the more secure of the two: Model Armor scores NaN% and QwenGuard4B 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
QwenGuard4B
0.000

Accuracy

Model Armor
45.540
QwenGuard4B
0.000

Precision

Model Armor
76.410
QwenGuard4B
0.000

Recall

Model Armor
10.670
QwenGuard4B
0.000

False Positive Rate

Model Armor
4.700
QwenGuard4B
0.000

False Negative Rate

Model Armor
89.330
QwenGuard4B
0.000

Average Latency (ms)

Model Armor
0.703
QwenGuard4B
0.000

p50 Latency (ms)

Model Armor
381.288
QwenGuard4B
0.000

p90 Latency (ms)

Model Armor
1549.410
QwenGuard4B
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.
  • Alibaba QwenGuard4B has a better False Positive Rate.
  • Alibaba QwenGuard4B has a better False Negative Rate.
  • Alibaba QwenGuard4B has a better Average Latency (ms).
  • Alibaba QwenGuard4B has a better p50 Latency (ms).
  • Alibaba QwenGuard4B 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
QwenGuard4B
Full security profile
Google Cloud Model Armor
Full security profile
Alibaba QwenGuard4B

Frequently asked questions

Is Google Cloud Model Armor or Alibaba QwenGuard4B more secure?

On Guardion's Prompt Attack Risk Benchmark, Alibaba QwenGuard4B is the more secure of the two: Model Armor scores NaN% and QwenGuard4B scores NaN% on F1 score (higher is better).

What is the F1 score of Model Armor vs QwenGuard4B?

Model Armor scores NaN% F1 and QwenGuard4B scores NaN% F1 on Guardion's prompt-attack benchmark. F1 balances precision and recall — higher is better.

How were Model Armor and QwenGuard4B 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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