Deepseek Deepseek V3 vs OpenAI GPT OSS 120B

Detailed comparison for LLMs

DeepseekOpenAI

On Guardion's LLM vulnerability Benchmark, OpenAI GPT OSS 120B is the more secure of the two: Deepseek V3 scores 47.2% and GPT OSS 120B scores 15.0% 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

GPT OSS 120B is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Deepseek Deepseek V3 vs OpenAI GPT OSS 120B. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Deepseek V3
47.2%
GPT OSS 120B
15.0%

TAP Attack Method (ASR)

Deepseek V3
79.5%
GPT OSS 120B
100.0%

Crescendo Attack Method (ASR)

Deepseek V3
49.3%
GPT OSS 120B
100.0%

Zero-Shot (ASR)

Deepseek V3
12.8%
GPT OSS 120B
100.0%

Key Highlights

  • OpenAI GPT OSS 120B has a lower Overall (ASR).
  • Deepseek Deepseek V3 has a lower TAP Attack Method (ASR).
  • Deepseek Deepseek V3 has a lower Crescendo Attack Method (ASR).
  • Deepseek Deepseek V3 has a lower Zero-Shot (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Deepseek V3
GPT OSS 120B
Full security profile
Deepseek Deepseek V3
Full security profile
OpenAI GPT OSS 120B

Frequently asked questions

Is Deepseek Deepseek V3 or OpenAI GPT OSS 120B more secure?

On Guardion's LLM vulnerability Benchmark, OpenAI GPT OSS 120B is the more secure of the two: Deepseek V3 scores 47.2% and GPT OSS 120B scores 15.0% 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 V3 vs GPT OSS 120B?

Deepseek V3 has a 47.2% ASR and GPT OSS 120B has a 15.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were Deepseek V3 and GPT OSS 120B 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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