Moonshot AI Kimi K2-Thinking-0905 vs Alibaba Qwen3 VL 32B Thinking

Detailed comparison for LLMs

Moonshot AIAlibaba

Moonshot AI Kimi K2-Thinking-0905 and Alibaba Qwen3 VL 32B Thinking are evenly matched at about 38.0% attack success rate (ASR) on Guardion's LLM vulnerability Benchmark. One or both scores are estimated from public safety evaluations pending a Guardion benchmark run.

Head-to-Head Overview

It's a close match between Kimi K2-Thinking-0905 and Qwen3 VL 32B Thinking!

Attack Success Rate (lower is safer)

ASR for Moonshot AI Kimi K2-Thinking-0905 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)

Kimi K2-Thinking-0905
38.0%
Qwen3 VL 32B Thinking
38.0%

TAP Attack Method (ASR)

Kimi K2-Thinking-0905
100.0%
Qwen3 VL 32B Thinking
100.0%

Crescendo Attack Method (ASR)

Kimi K2-Thinking-0905
100.0%
Qwen3 VL 32B Thinking
100.0%

Zero-Shot (ASR)

Kimi K2-Thinking-0905
100.0%
Qwen3 VL 32B Thinking
100.0%

Key Highlights

No specific highlights generated for this comparison.

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Kimi K2-Thinking-0905
Qwen3 VL 32B Thinking
Full security profile
Moonshot AI Kimi K2-Thinking-0905
Full security profile
Alibaba Qwen3 VL 32B Thinking

Frequently asked questions

Is Moonshot AI Kimi K2-Thinking-0905 or Alibaba Qwen3 VL 32B Thinking more secure?

Moonshot AI Kimi K2-Thinking-0905 and Alibaba Qwen3 VL 32B Thinking are evenly matched at about 38.0% attack success rate (ASR) on Guardion's LLM vulnerability Benchmark. One or both scores are estimated from public safety evaluations pending a Guardion benchmark run.

What is the attack success rate (ASR) of Kimi K2-Thinking-0905 vs Qwen3 VL 32B Thinking?

Kimi K2-Thinking-0905 has a 38.0% 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 Kimi K2-Thinking-0905 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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