DPrivBench - Report Noisy Max (Laplace): leaderboard
Metric: Accuracy (0-1, times 100) on the report-noisy-max with Laplace noise instances of the DPrivBench Category 1 mechanism-level instances (a mechanism template instantiated with a concrete query function from a 49-function bank; positive instances calibrate the noise to the true sensitivity, paired negatives under-calibrate it); binary yes/no verdict on whether the stated differential privacy guarantee holds, five seeds, no tools; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 (High) | 99.8 |
| 2 | Gemini 3 Pro | 64.5 |
| 3 | DeepSeek V3.1 (Non-reasoning) | 64.3 |
| 4 | Claude Opus 4.5 | 59 |
| 5 | GPT-5 (Minimal) | 57.3 |
| 6 | Claude Sonnet 4.5 | 54.9 |
| 7 | Gemini 2.5 Flash | 51.4 |
| 8 | Qwen 3 30B A3B 2507 Instruct | 50.8 |
| 9 | Qwen 3 30B A3B 2507 (Thinking) | 41.6 |
| 10 | DeepSeek R1 | 35.9 |
Interactive version: theaggregate.ai/benchmark?slug=dprivbench-report-noisy-max-laplace · How It Works · Data refreshed daily, snapshot 2026-10-07.