Meta Llama 3.1 405B Instruct vs Moonshot AI Kimi K2-Thinking-0905
Detailed comparison for LLMs
On Guardion's LLM vulnerability Benchmark, Meta Llama 3.1 405B Instruct is the more secure of the two: Llama 3.1 405B Instruct scores 36.0% and Kimi K2-Thinking-0905 scores 38.0% 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 Meta Llama 3.1 405B Instruct vs Moonshot AI Kimi K2-Thinking-0905. 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
- Meta Llama 3.1 405B Instruct has a lower Overall (ASR).
Security Profile
Outward is better on every axis.
Frequently asked questions
Is Meta Llama 3.1 405B Instruct or Moonshot AI Kimi K2-Thinking-0905 more secure?
On Guardion's LLM vulnerability Benchmark, Meta Llama 3.1 405B Instruct is the more secure of the two: Llama 3.1 405B Instruct scores 36.0% and Kimi K2-Thinking-0905 scores 38.0% 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 405B Instruct vs Kimi K2-Thinking-0905?
Llama 3.1 405B Instruct has a 36.0% ASR and Kimi K2-Thinking-0905 has a 38.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.
How were Llama 3.1 405B Instruct and Kimi K2-Thinking-0905 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.