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

Detailed comparison for LLMs

AlibabaMeta

On Guardion's LLM vulnerability Benchmark, Meta Llama 3H 405B is the more secure of the two: Qwen3 VL 32B Thinking scores 38.0% and Llama 3H 405B scores 36.6% 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 Alibaba Qwen3 VL 32B Thinking vs Meta Llama 3H 405B. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

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

TAP Attack Method (ASR)

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

Crescendo Attack Method (ASR)

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

Zero-Shot (ASR)

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

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

Frequently asked questions

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

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

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

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