Alibaba Qwen3 VL 32B Thinking vs Google Gemini 2.5 Pro

Detailed comparison for LLMs

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On Guardion's LLM vulnerability Benchmark, Google Gemini 2.5 Pro is the more secure of the two: Qwen3 VL 32B Thinking scores 38.0% and Gemini 2.5 Pro scores 16.1% 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

Gemini 2.5 Pro is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Alibaba Qwen3 VL 32B Thinking vs Google Gemini 2.5 Pro. 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%
Gemini 2.5 Pro
16.1%

TAP Attack Method (ASR)

Qwen3 VL 32B Thinking
100.0%
Gemini 2.5 Pro
27.5%

Crescendo Attack Method (ASR)

Qwen3 VL 32B Thinking
100.0%
Gemini 2.5 Pro
19.1%

Zero-Shot (ASR)

Qwen3 VL 32B Thinking
100.0%
Gemini 2.5 Pro
1.6%

Key Highlights

  • Google Gemini 2.5 Pro has a lower Overall (ASR).
  • Google Gemini 2.5 Pro has a lower TAP Attack Method (ASR).
  • Google Gemini 2.5 Pro has a lower Crescendo Attack Method (ASR).
  • Google Gemini 2.5 Pro has a lower Zero-Shot (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Qwen3 VL 32B Thinking
Gemini 2.5 Pro
Full security profile
Alibaba Qwen3 VL 32B Thinking
Full security profile
Google Gemini 2.5 Pro

Frequently asked questions

Is Alibaba Qwen3 VL 32B Thinking or Google Gemini 2.5 Pro more secure?

On Guardion's LLM vulnerability Benchmark, Google Gemini 2.5 Pro is the more secure of the two: Qwen3 VL 32B Thinking scores 38.0% and Gemini 2.5 Pro scores 16.1% 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 Gemini 2.5 Pro?

Qwen3 VL 32B Thinking has a 38.0% ASR and Gemini 2.5 Pro has a 16.1% 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 Gemini 2.5 Pro 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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