CESBench: leaderboard
CESBench (Zhou et al., 2026) tests large language models on cryptographic engineering security for IoT devices with 380 expert-written items on side-channel and fault attacks, implementation, countermeasures, evaluation and integration. The composite score is the unweighted mean in percent of four task-type scores (multiple-choice accuracy, verdict-gated judgment rubric, scenario rubric and code task success on hidden tests), with open answers scored by a Qwen3.5-397B judge; higher is better.
Metric: Composite score (%; unweighted mean of the four task-type means: multiple-choice accuracy (209), judgment verdict-gated rubric score (67), scenario rubric score (63) and code task success on 572 hidden tests (41); 380 expert-written items on cryptographic engineering security for IoT devices; zero-shot, temperature 0, no tools, provider default reasoning mode; judgment and scenario answers scored by a Qwen3.5-397B judge from outside the evaluated set). Source: arxiv.org. Saturation forecast: Around February 2027. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GLM-5.2 | 83.6 | #137 |
| 2 | Kimi K2.6 | 82.5 | #173 |
| 3 | Gemini 3.7 Flash | 81.4 | #32 |
| 4 | GPT-5.6 Luna | 80.8 | #117 |
| 5 | DeepSeek V4 Pro | 80.2 | #181 |
| 6 | MiniMax-M2.5 | 73.4 | #590 |
| 7 | DeepSeek V3 | 68.4 | #705 |
| 8 | Ling-flash-2.0 | 61.3 | #1352 |
| 9 | GLM-4 32B (0414) | 60 | #1407 |
| 10 | Llama 4 Maverick | 59.7 | #1105 |
| 11 | Hunyuan A13B-Instruct | 54.4 | #2021 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=cesbench · How It Works · Data refreshed daily, snapshot 2026-11-12.