NVIDIA Llama 3.1 Nemotron Ultra 253B v1 vs Zhipu AI GLM-4.6

Detailed comparison for LLMs

NVIDIAZhipu AI

On Guardion's LLM vulnerability Benchmark, Zhipu AI GLM-4.6 is the more secure of the two: Llama 3.1 Nemotron Ultra 253B v1 scores 40.0% and GLM-4.6 scores 39.0% 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

GLM-4.6 is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for NVIDIA Llama 3.1 Nemotron Ultra 253B v1 vs Zhipu AI GLM-4.6. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Llama 3.1 Nemotron Ultra 253B v1
40.0%
GLM-4.6
39.0%

TAP Attack Method (ASR)

Llama 3.1 Nemotron Ultra 253B v1
100.0%
GLM-4.6
100.0%

Crescendo Attack Method (ASR)

Llama 3.1 Nemotron Ultra 253B v1
100.0%
GLM-4.6
100.0%

Zero-Shot (ASR)

Llama 3.1 Nemotron Ultra 253B v1
100.0%
GLM-4.6
100.0%

Key Highlights

  • Zhipu AI GLM-4.6 has a lower Overall (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Llama 3.1 Nemotron Ultra 253B v1
GLM-4.6
Full security profile
NVIDIA Llama 3.1 Nemotron Ultra 253B v1
Full security profile
Zhipu AI GLM-4.6

Frequently asked questions

Is NVIDIA Llama 3.1 Nemotron Ultra 253B v1 or Zhipu AI GLM-4.6 more secure?

On Guardion's LLM vulnerability Benchmark, Zhipu AI GLM-4.6 is the more secure of the two: Llama 3.1 Nemotron Ultra 253B v1 scores 40.0% and GLM-4.6 scores 39.0% 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 Llama 3.1 Nemotron Ultra 253B v1 vs GLM-4.6?

Llama 3.1 Nemotron Ultra 253B v1 has a 40.0% ASR and GLM-4.6 has a 39.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were Llama 3.1 Nemotron Ultra 253B v1 and GLM-4.6 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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