HelpBench - Data Concerns: leaderboard
Metric: Data Concerns topic (data collection, exposure, loss and sharing) rubric score (%): points for met positive criteria and avoided negative criteria (factual criteria written per question by privacy, safety and security experts, plus shared delivery criteria) over the maximum points, applied by a Gemini 2.5 Pro auto-rater at temperature 0; chat versions with default parameters, mean of five responses per question; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 18 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.3 | 89 |
| 2 | Gemini 3 Flash | 88 |
| 3 | GPT-5 Chat | 87 |
| 4 | GPT-4.1 | 86 |
| 5 | Claude Opus 4.6 | 85 |
| 6 | Grok 4 | 84 |
| 7 | Gemini 3.1 Pro (Preview) | 83 |
| 8 | Claude Sonnet 4 | 83 |
| 9 | GLM-5.1 | 83 |
| 10 | Gemini 2.5 Pro | 82 |
| 11 | Claude Sonnet 4.6 | 82 |
| 12 | Qwen 3.6 Plus | 82 |
| 13 | GLM-4.6 | 82 |
| 14 | DeepSeek V3.2 (Non-reasoning) | 81 |
| 15 | GLM-5-Turbo | 80 |
Interactive version: theaggregate.ai/benchmark?slug=helpbench-data-concerns · How It Works · Data refreshed daily, snapshot 2026-09-29.