DeepSeek DeepSeek VL2 vs DeepSeek DeepSeek-V3.2 Thinking

Detailed comparison for LLMs

DeepSeekDeepSeek

On Guardion's LLM vulnerability Benchmark, DeepSeek DeepSeek-V3.2 Thinking is the more secure of the two: DeepSeek VL2 scores 52.0% and DeepSeek-V3.2 Thinking scores 42.0% 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

DeepSeek-V3.2 Thinking is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for DeepSeek DeepSeek VL2 vs DeepSeek DeepSeek-V3.2 Thinking. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

DeepSeek VL2
52.0%
DeepSeek-V3.2 Thinking
42.0%

TAP Attack Method (ASR)

DeepSeek VL2
100.0%
DeepSeek-V3.2 Thinking
100.0%

Crescendo Attack Method (ASR)

DeepSeek VL2
100.0%
DeepSeek-V3.2 Thinking
100.0%

Zero-Shot (ASR)

DeepSeek VL2
100.0%
DeepSeek-V3.2 Thinking
100.0%

Key Highlights

  • DeepSeek DeepSeek-V3.2 Thinking has a lower Overall (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
DeepSeek VL2
DeepSeek-V3.2 Thinking
Full security profile
DeepSeek DeepSeek VL2
Full security profile
DeepSeek DeepSeek-V3.2 Thinking

Frequently asked questions

Is DeepSeek DeepSeek VL2 or DeepSeek DeepSeek-V3.2 Thinking more secure?

On Guardion's LLM vulnerability Benchmark, DeepSeek DeepSeek-V3.2 Thinking is the more secure of the two: DeepSeek VL2 scores 52.0% and DeepSeek-V3.2 Thinking scores 42.0% 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 DeepSeek VL2 vs DeepSeek-V3.2 Thinking?

DeepSeek VL2 has a 52.0% ASR and DeepSeek-V3.2 Thinking has a 42.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were DeepSeek VL2 and DeepSeek-V3.2 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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