Mistral Mistral Large 2 vs DeepSeek DeepSeek-V3.2 Thinking
Detailed comparison for LLMs
Mistral Mistral Large 2 and DeepSeek DeepSeek-V3.2 Thinking are evenly matched at about 42.0% attack success rate (ASR) on Guardion's LLM vulnerability Benchmark. One or both scores are estimated from public safety evaluations pending a Guardion benchmark run.
Head-to-Head Overview
It's a close match between Mistral Large 2 and DeepSeek-V3.2 Thinking!
Attack Success Rate (lower is safer)
ASR for Mistral Mistral Large 2 vs DeepSeek DeepSeek-V3.2 Thinking. 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
No specific highlights generated for this comparison.
Security Profile
Outward is better on every axis.
Frequently asked questions
Is Mistral Mistral Large 2 or DeepSeek DeepSeek-V3.2 Thinking more secure?
Mistral Mistral Large 2 and DeepSeek DeepSeek-V3.2 Thinking are evenly matched at about 42.0% attack success rate (ASR) on Guardion's LLM vulnerability Benchmark. One or both scores are estimated from public safety evaluations pending a Guardion benchmark run.
What is the attack success rate (ASR) of Mistral Large 2 vs DeepSeek-V3.2 Thinking?
Mistral Large 2 has a 42.0% ASR and DeepSeek-V3.2 Thinking has a 42.0% ASR — the share of adversarial prompts that succeed across zero-shot, TAP, and Crescendo attacks. Lower is safer.
How were Mistral Large 2 and DeepSeek-V3.2 Thinking 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.