Cohere Command 2X vs Alibaba Qwen3 VL 32B Thinking

Detailed comparison for LLMs

CohereAlibaba

On Guardion's LLM vulnerability Benchmark, Alibaba Qwen3 VL 32B Thinking is the more secure of the two: Command 2X scores 39.4% 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

Qwen3 VL 32B Thinking is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Cohere Command 2X 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)

Command 2X
39.4%
Qwen3 VL 32B Thinking
38.0%

TAP Attack Method (ASR)

Command 2X
Qwen3 VL 32B Thinking
100.0%

Crescendo Attack Method (ASR)

Command 2X
Qwen3 VL 32B Thinking
100.0%

Zero-Shot (ASR)

Command 2X
6.2%
Qwen3 VL 32B Thinking
100.0%

Key Highlights

  • Alibaba Qwen3 VL 32B Thinking has a lower Overall (ASR).
  • Cohere Command 2X has a lower Zero-Shot (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Command 2X
Qwen3 VL 32B Thinking
Full security profile
Cohere Command 2X
Full security profile
Alibaba Qwen3 VL 32B Thinking

Frequently asked questions

Is Cohere Command 2X or Alibaba Qwen3 VL 32B Thinking more secure?

On Guardion's LLM vulnerability Benchmark, Alibaba Qwen3 VL 32B Thinking is the more secure of the two: Command 2X scores 39.4% 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 Command 2X vs Qwen3 VL 32B Thinking?

Command 2X has a 39.4% 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 Command 2X 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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