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FinSafetyBench

A bilingual (English/Chinese) red-teaming set that checks whether models refuse requests breaking financial compliance. It covers 11 financial-crime and 3 professional-ethics subcategories, tested under PAIR, ReNeLLM and FlipAttack jailbreaks.

Best reported

32.3

LLaMA-3

attack success rate % (financial crimes, English)

1 May 2026

FinSafetyBench arXiv v1 (2026-05-01), Findings of ACL 2026

attack success rate % (financial crimes, English), lower is better. 6 models.

Updated 1 May 2026

  1. LLaMA-332.3
  2. XuanYuan57.5
  3. InternLM372.2
  4. GLM-472.3
  5. Qwen2.588.2
  6. Mistral93.5

FinSafetyBench arXiv v1 (2026-05-01), Findings of ACL 2026

attack success rate % (financial crimes, English), lower is better. 6 models.

Updated 1 May 2026

  1. 1LLaMA-332.3
  2. 2XuanYuan57.5
  3. 3InternLM372.2
  4. 4GLM-472.3
  5. 5Qwen2.588.2
  6. 6Mistral93.5
FinSafetyBench leaderboard (attack success rate % (financial crimes, English), lower is better)
1LLaMA-3Meta32.3Meta-Llama-3-8B-Instruct; average of PAIR, ReNeLLM, FlipAttackPaper Table 2
Reported by the authors, 1 May 2026
2XuanYuanNot stated57.5XuanYuan-13B-Chat; average of PAIR, ReNeLLM, FlipAttackPaper Table 2
Reported by the authors, 1 May 2026
3InternLM3Not stated72.2InternLM3-8B-Instruct; average of PAIR, ReNeLLM, FlipAttackPaper Table 2
Reported by the authors, 1 May 2026
4GLM-4Zhipu AI72.3GLM-4-9B-0414; average of PAIR, ReNeLLM, FlipAttackPaper Table 2
Reported by the authors, 1 May 2026
5Qwen2.5Qwen88.2Qwen2.5-32B-Instruct; average of PAIR, ReNeLLM, FlipAttackPaper Table 2
Reported by the authors, 1 May 2026
6MistralMistral AI93.5Mistral-Small-24B-Instruct-2501; average of PAIR, ReNeLLM, FlipAttackPaper Table 2
Reported by the authors, 1 May 2026

FinSafetyBench arXiv v1 (2026-05-01), Findings of ACL 2026

attack success rate % (financial crimes), lower is better. 2 models.

Updated 1 May 2026

  1. GPT-5.135.3
  2. deepseek-v3.289.5

FinSafetyBench arXiv v1 (2026-05-01), Findings of ACL 2026

attack success rate % (financial crimes), lower is better. 2 models.

Updated 1 May 2026

  1. 1GPT-5.135.3
  2. 2deepseek-v3.289.5
FinSafetyBench leaderboard (attack success rate % (financial crimes), lower is better)
1GPT-5.1OpenAI35.3PAIR only, 25 sampled instances per category (not comparable to Table 2)Paper Table 3
Reported by the authors, 1 May 2026
2deepseek-v3.2DeepSeek89.5PAIR only, 25 sampled instances per category (not comparable to Table 2)Paper Table 3
Reported by the authors, 1 May 2026

Full details for FinSafetyBench