Meta Llama 3H 405B vs Alibaba Qwen3 VL 32B Thinking

Detailed comparison for LLMs

MetaAlibaba

On Guardion's LLM vulnerability Benchmark, Meta Llama 3H 405B is the more secure of the two: Llama 3H 405B scores 36.6% and Qwen3 VL 32B Thinking scores 38.0% 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

Llama 3H 405B is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Meta Llama 3H 405B vs Alibaba Qwen3 VL 32B Thinking. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Llama 3H 405B
36.6%
Qwen3 VL 32B Thinking
38.0%

TAP Attack Method (ASR)

Llama 3H 405B
Qwen3 VL 32B Thinking
100.0%

Crescendo Attack Method (ASR)

Llama 3H 405B
Qwen3 VL 32B Thinking
100.0%

Zero-Shot (ASR)

Llama 3H 405B
12.9%
Qwen3 VL 32B Thinking
100.0%

Key Highlights

  • Meta Llama 3H 405B has a lower Overall (ASR).
  • Meta Llama 3H 405B has a lower Zero-Shot (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Llama 3H 405B
Qwen3 VL 32B Thinking
Full security profile
Meta Llama 3H 405B
Full security profile
Alibaba Qwen3 VL 32B Thinking

Frequently asked questions

Is Meta Llama 3H 405B or Alibaba Qwen3 VL 32B Thinking more secure?

On Guardion's LLM vulnerability Benchmark, Meta Llama 3H 405B is the more secure of the two: Llama 3H 405B scores 36.6% and Qwen3 VL 32B Thinking scores 38.0% 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 3H 405B vs Qwen3 VL 32B Thinking?

Llama 3H 405B has a 36.6% ASR and Qwen3 VL 32B Thinking has a 38.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were Llama 3H 405B and Qwen3 VL 32B Thinking 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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