CipherBank: leaderboard

Decrypting privacy-sensitive texts enciphered with nine algorithms, from ROT and Vigenere to three invented ciphers. The model is not told the algorithm: it gets three plaintext and ciphertext example pairs and must infer the cipher before decrypting. Exact-match accuracy averaged over the nine ciphers. Higher is better. Source: arxiv.org/abs/2504.19093.

Metric: Decryption Accuracy (%; 3-shot, mean of nine ciphers). Source: arxiv.org. Saturation forecast: Estimated already saturated. 16 models tracked.

Top models

#ModelScoreOverall rank
1Claude 3.5 Sonnet (20241022)45.14#303
2O1 (2024-12-17)40.59#159
3DeepSeek R125.91#266
4O1 Mini (2024-09-12)20.07#414
5Gemini 2.0 Flash (Thinking)13.49#350 (Gemini 2.0 Flash)
6DeepSeek V39.86#334
7Gemini 1.5 Pro9.54#453
8GPT-4o (2024-08-06)8.82#344
9Gemini 2.0 Flash (Preview)8.65#376
10GPT-4o (2024-11-20)6.4#392
11GPT-4o Mini (2024-07-18)1#566
12QwQ 32B-Preview0.76#672
13Qwen 2.5 72B Instruct0.55#470
14Llama 3.3 70B Instruct0.42#541
15Llama 3.1 70B Instruct0.38#570

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #6 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=cipherbank · How It Works · Data refreshed daily, snapshot 2026-11-07.