Alibaba Qwen 2.5 72B vs DeepSeek DeepSeek VL2

Detailed comparison for LLMs

AlibabaDeepSeek

On Guardion's LLM vulnerability Benchmark, Alibaba Qwen 2.5 72B is the more secure of the two: Qwen 2.5 72B scores 26.3% and DeepSeek VL2 scores 52.0% 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

Qwen 2.5 72B is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Alibaba Qwen 2.5 72B vs DeepSeek DeepSeek VL2. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Qwen 2.5 72B
26.3%
DeepSeek VL2
52.0%

TAP Attack Method (ASR)

Qwen 2.5 72B
55.2%
DeepSeek VL2
100.0%

Crescendo Attack Method (ASR)

Qwen 2.5 72B
23.7%
DeepSeek VL2
100.0%

Zero-Shot (ASR)

Qwen 2.5 72B
0.3%
DeepSeek VL2
100.0%

Key Highlights

  • Alibaba Qwen 2.5 72B has a lower Overall (ASR).
  • Alibaba Qwen 2.5 72B has a lower TAP Attack Method (ASR).
  • Alibaba Qwen 2.5 72B has a lower Crescendo Attack Method (ASR).
  • Alibaba Qwen 2.5 72B has a lower Zero-Shot (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Qwen 2.5 72B
DeepSeek VL2
Full security profile
Alibaba Qwen 2.5 72B
Full security profile
DeepSeek DeepSeek VL2

Frequently asked questions

Is Alibaba Qwen 2.5 72B or DeepSeek DeepSeek VL2 more secure?

On Guardion's LLM vulnerability Benchmark, Alibaba Qwen 2.5 72B is the more secure of the two: Qwen 2.5 72B scores 26.3% and DeepSeek VL2 scores 52.0% 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 Qwen 2.5 72B vs DeepSeek VL2?

Qwen 2.5 72B has a 26.3% ASR and DeepSeek VL2 has a 52.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were Qwen 2.5 72B and DeepSeek VL2 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.

Related Comparisons