Cohere Command R vs Zhipu AI GLM-4.6
Detailed comparison for LLMs
On Guardion's LLM vulnerability Benchmark, Cohere Command R is the more secure of the two: Command R scores 32.9% 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
Command R is the overall winner in this comparison!
Attack Success Rate (lower is safer)
ASR for Cohere Command R 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)
TAP Attack Method (ASR)
Crescendo Attack Method (ASR)
Zero-Shot (ASR)
Key Highlights
- Cohere Command R has a lower Overall (ASR).
- Cohere Command R has a lower TAP Attack Method (ASR).
- Cohere Command R has a lower Crescendo Attack Method (ASR).
- Cohere Command R has a lower Zero-Shot (ASR).
Security Profile
Outward is better on every axis.
Frequently asked questions
Is Cohere Command R or Zhipu AI GLM-4.6 more secure?
On Guardion's LLM vulnerability Benchmark, Cohere Command R is the more secure of the two: Command R scores 32.9% 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 Command R vs GLM-4.6?
Command R has a 32.9% 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 Command R 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.