Cohere Command 2X vs Meta Llama 3.1 405B Instruct

Detailed comparison for LLMs

CohereMeta

On Guardion's LLM vulnerability Benchmark, Meta Llama 3.1 405B Instruct is the more secure of the two: Command 2X scores 39.4% and Llama 3.1 405B Instruct scores 36.0% 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

Llama 3.1 405B Instruct is the overall winner in this comparison!

Attack Success Rate (lower is safer)

ASR for Cohere Command 2X vs Meta Llama 3.1 405B Instruct. Green marks the safer model on each metric. Only the overall score is available for estimated models.

Overall (ASR)

Command 2X
39.4%
Llama 3.1 405B Instruct
36.0%

TAP Attack Method (ASR)

Command 2X
Llama 3.1 405B Instruct
100.0%

Crescendo Attack Method (ASR)

Command 2X
Llama 3.1 405B Instruct
100.0%

Zero-Shot (ASR)

Command 2X
6.2%
Llama 3.1 405B Instruct
100.0%

Key Highlights

  • Meta Llama 3.1 405B Instruct has a lower Overall (ASR).
  • Cohere Command 2X has a lower Zero-Shot (ASR).

Security Profile

Outward is better on every axis.

OverallTAPCrescendoZero-Shot
Command 2X
Llama 3.1 405B Instruct
Full security profile
Cohere Command 2X
Full security profile
Meta Llama 3.1 405B Instruct

Frequently asked questions

Is Cohere Command 2X or Meta Llama 3.1 405B Instruct more secure?

On Guardion's LLM vulnerability Benchmark, Meta Llama 3.1 405B Instruct is the more secure of the two: Command 2X scores 39.4% and Llama 3.1 405B Instruct scores 36.0% 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 2X vs Llama 3.1 405B Instruct?

Command 2X has a 39.4% ASR and Llama 3.1 405B Instruct has a 36.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.

How were Command 2X and Llama 3.1 405B Instruct 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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